Round audit packet

CB-2026-08-18-1W

Weekly round one week

One-week market allocation evaluation round.

Test CB-2026-08-18-1W pending
Portfolios Frozen By 2026-08-18
Start Date 2026-08-18
End Date 2026-08-25
Run ID official-v3-20260818-weekly
Round insights

What The Insight Engine Flags For This Round

Only insights with evidence tied to this round are shown here, so the interpretation stays connected to the audit packet.

Model BehaviorAug 18-Aug 25
Weekly live roundCB-2026-08-18-1W8 models

Claude Opus 4.8 has the strongest current weekly recent-winner tilt

Its score is 50.0 out of 100, with 0.0% in the top recent-return quintile. Grok 4.5 is lowest at 2.9.

Momentum exposure measures how much of the frozen portfolio went into assets that had already been recent winners before the model made its allocation.

High confidenceMath: deterministicData through Aug 18, 2026
Leader Recent Winner Tilt Score
50.0/100
Leader Top Recent Winner Quintile Allocation
0.00%
Leader Peer Delta
45.4
Why it matters

This compares how strongly current model portfolios favor assets that had already outperformed. It describes the allocation and does not infer why the model chose it.

Risk RegimeAs of Aug 18
Latest live portfolios2 live rounds16 models

Live AI risk posture is risk-seeking

The newest live portfolios have a deterministic risk-taking score of 73.6 out of 100.

Risk-taking score is allocation-based, not performance-based: higher means more weight in growth, momentum, cyclical, and higher-risk assets.

Medium confidenceMath: deterministicData through Aug 18, 2026
Live Risk Taking Score
73.6/100
Horizon AgreementAs of Aug 18
Latest live portfolios2 live rounds16 models

Weekly and monthly AI portfolios point to different regimes

The newest weekly portfolios lean toward growth and technology, while the newest monthly portfolios lean toward broad and cyclical equity.

Horizon agreement compares the newest weekly and monthly live portfolios to see whether short- and longer-window model stances line up.

Medium confidenceMath: deterministicData through Aug 18, 2026
Weekly Top Regime Allocation
+55.0%
Monthly Top Regime Allocation
+66.3%
  1. 1 Inputs saved

    11 public audit hashes are available.

  2. 2 Portfolios collected

    8 valid model portfolios.

  3. 3 Start priced

    0 starting-price rows published.

  4. 4 Ending prices pending

    Scores publish after 2026-08-25 prices are available.

Round state

Score Pending

This round has saved inputs and model portfolios. Benchmark results remain unavailable until ending prices are collected.

Pending
Model portfolios

8 valid portfolios

No invalid parsed submissions are published for the public run.

Asset list

70 saved choices

v2.1 is preserved exactly as the model-facing list.

Scoring

Ending prices pending

Portfolio return, S&P 500 return, maximum possible return, CapitalBench context, and regret publish after scoring.

Input audit hashes

11 artifacts published.

Public run selected

official-v3-20260818-weekly

Model-facing prompt available

35,088 shared prompt characters.

Ending prices pending

Benchmark result rows remain withheld until the exit close is priced.

Model consensus

Where Models Concentrated In This Round

Each model has equal weight. This shows the combined portfolio created by averaging all valid model portfolios in this weekly round.

Score pending
Top exposure 30%

Software (IGV)

Top 3 exposures 71.9%

Combined average allocation to the three largest assets.

Effective spread 4.5 assets

Higher means model capital was spread across more assets.

Average allocation across 8 model portfolios Assets
Software (IGV) 7 models: Claude Fable 5 35% / Claude Opus 5 35% / Gemini 3.1 Pro 35% / GPT-5.6 Sol 35% / +3 more
30%
Cybersecurity (CIBR) 6 models: Claude Fable 5 35% / Claude Opus 5 35% / Gemini 3.1 Pro 35% / GPT-5.6 Sol 35% / +2 more
25%
China Equities (MCHI) 4 models: Grok 4.3 35% / Grok 4.5 35% / Grok 4.6 35% / Gemini 3.1 Pro 30%
16.9%
South Africa Equities (EZA) 4 models: Grok 4.3 35% / Claude Fable 5 30% / Claude Opus 5 30% / GPT-5.6 Sol 30%
15.6%
S&P 500 (SPY) 1 model: Claude Opus 4.8 100%
12.5%
Interim tracking

Live Portfolio And S&P 500 Returns

Once at least one post-entry price snapshot exists, this chart tracks each saved model portfolio against S&P 500 from the round start date. It is interim research context, not the final score.

Live chart pending

At least one price snapshot after the start date is required before interim performance is shown.

Saved model-facing context

Prompt And Input Packet

The shared packet below is the prompt body common to every model call. Each provider call appends a small model-specific identifier block shown after the artifacts.

Shared Model-Facing Prompt Packet 35,088 characters
# CapitalBench portfolio-v3.0 Task

You are participating in an offline, time-resolved CapitalBench evaluation round. Every model receives the same frozen information and makes one single-turn, non-agentic judgment without tools, browsing, retrieval, or follow-up.

Your objective is to rank assets for realized return over exactly one week and identify candidates that can beat SPY. CapitalBench, not you, constructs the scored portfolio from your judgment using the fixed rule below.

The deterministic candidate slate exists to prevent omission; it is not a recommendation. Assess every slate candidate. You may add at most two wildcard options from the complete allowed universe, but only when the frozen briefing supplies a specific reason the mechanical slate missed.

Use only facts and mechanical market data supplied in this input. You may use internal learned knowledge and general priors, but do not intentionally rely on facts, prices, news, or events after the research cutoff. Treat section order, mention count, option order, table order, and slate inclusion as neutral presentation choices rather than recommendation signals.

Do not extrapolate recent returns mechanically. A recent winner has no positive edge without independent in-window support. Give extreme recent losers a fair reversal test, but distinguish temporary price overreaction from fundamental deterioration. Use the supplied cross-sectional dispersion, medium-horizon relative strength, volatility, drawdown, volume, briefing evidence, and quality evidence. Optimize for the stated close-to-close scoring window only.

For every assessed candidate, provide probabilities and an 80% excess-return range relative to SPY. Rank every assessment without ties. top3_option_ids must be the options ranked 1, 2, and 3. prefer_spy is a diagnostic judgment and does not override the deterministic rule.

CapitalBench applies this rule after your response:

1. Preserve your candidate ranks.
2. A non-SPY candidate is eligible only when you label its recent return as overreaction and give it at least a 55% probability of beating SPY.
3. Select at most the first three eligible candidates in your rank order.
4. Fill fixed portfolio slots of 35%, 35%, and 30% in that order.
5. Put every unused slot in SPY.

You do not submit allocations or an alternative portfolio. Return only valid JSON. Do not include markdown, citations, prose, or commentary outside the JSON.

Required JSON format:

{
  "round_id": "<round_id>",
  "model_id": "<model_id>",
  "provider": "<provider>",
  "mode": "closed_capability",
  "dispersion_state": "low, normal, or high",
  "dominant_pattern": "continuation, reversal, or mixed",
  "market_rationale": "<concise market-level judgment>",
  "candidate_assessments": [
    {
      "option_id": "<allowed option ID>",
      "origin_lanes": ["<exact lane or lanes from the deterministic slate, or wildcard>"],
      "mechanism": "continuation, reversal, catalyst, defensive, or no_edge",
      "p_beat_spy_pct": <integer 0-100>,
      "p_top3_pct": <integer 0-100>,
      "excess_return_p10_pct": <number>,
      "excess_return_p50_pct": <number>,
      "excess_return_p90_pct": <number>,
      "recent_return_interpretation": "overreaction, fundamental_deterioration, supported_continuation, or no_edge",
      "evidence": ["<1-3 concise facts from the supplied input>"],
      "rank": <unique contiguous integer beginning at 1>
    }
  ],
  "top3_option_ids": ["<rank 1>", "<rank 2>", "<rank 3>"],
  "prefer_spy": <boolean>,
  "portfolio_rationale": "<concise explanation of the ranked judgment>",
  "key_risks": ["<risk 1>", "<risk 2>"]
}

Rules:
- assess every deterministic slate candidate and no more than two optional wildcards;
- use origin_lanes exactly as shown for slate candidates and ["wildcard"] for additions;
- probabilities are whole percentages from 0 to 100;
- excess-return estimates are percentage points relative to SPY and must satisfy p10 <= p50 <= p90;
- ranks must be unique and contiguous from 1 through the number of assessments;
- evidence must refer only to supplied input and contain no URLs;
- key_risks must contain 2-5 concrete risks;
- do not output portfolio allocations, a second ranking, a financial-advice disclaimer, or extra fields.

## Round Metadata

- Round ID: CB-2026-08-18-1W
- Decision date: 2026-08-18
- Research cutoff UTC: 2026-08-18T04:47:05Z
- Decision deadline UTC: 2026-08-18T13:25:00Z
- Horizon: one week
- Entry date: 2026-08-18
- Exit date: 2026-08-25
- Entry rule: Use the Tuesday, August 18, 2026 adjusted close supplied in prices/entry_prices.csv.
- Exit rule: Use the Tuesday, August 25, 2026 adjusted close supplied in prices/exit_prices.csv.
- Scoring benchmark: S&P 500 / SPY
- Return calculation: adjusted close prices are used when available.

## Briefing

# CapitalBench Factual Briefing — August 18, 2026

Research cutoff: **2026-08-18T04:47:05Z**. Decision deadline: **2026-08-18T13:25:00Z**. The entry is the Tuesday, August 18 adjusted close. The weekly exit is the Tuesday, August 25 adjusted close; the monthly exit is the Friday, September 18 adjusted close.

This briefing provides fixed factual datapoints only. It does not rank, recommend, analyze, or map facts to CapitalBench options. Inclusion, order, grouping, and row count are not evidence of expected return. A mechanical full-universe price, risk, and benchmark-relative appendix follows this briefing in the model input.

## Prices, income, and policy

- The Bureau of Labor Statistics reported that the CPI rose 0.1% in July and 3.4% over 12 months, after a 0.4% monthly decline and 3.5% annual increase in June. Core CPI rose 0.2% in July and 2.5% over 12 months.
- July energy prices fell 1.5%, including a nearly 3% decline in gasoline. Grocery prices rose 0.1%, airline fares rose 2.2%, medical care rose 0.4%, and used-car and truck prices rose 0.4%.
- The Producer Price Index for final demand was unchanged in July and rose 4.7% over 12 months, down from 5.5% in June. Core producer prices excluding food and energy rose 0.2% in July and 4.2% over 12 months.
- BEA reported that the June PCE price index fell 0.1% from May and rose 3.7% over 12 months. Core PCE rose 0.1% in June and 3.3% over 12 months.
- June personal income and disposable personal income each rose 0.2%. Nominal personal consumption expenditures rose 0.3%; the saving rate was 2.7%.
- On July 29, the FOMC maintained the federal-funds target range at 3.50%–3.75% by a 9–3 vote. Three members preferred a 25-basis-point increase. The Committee said inflation remained elevated relative to its 2% goal.

## Labor, consumers, and business activity

- Nonfarm payroll employment fell by 23,000 in July, and May and June were revised down by a combined 103,000. The unemployment rate fell to 4.1% as labor-force participation fell to 61.4%.
- July local public-school employment fell by 50,000, restaurant and bar employment by 26,000, and retail employment by 19,000. Construction added 22,000 jobs and manufacturing added 5,000.
- Average hourly earnings rose 3.2% from July 2025. The establishment payroll estimate remains subject to revision.
- June job openings were 7.36 million versus 7.54 million in May. Layoffs were little changed at 1.8 million; gross hires rose slightly to 5.3 million.
- Advance retail and food-services sales fell 0.6% in July after a revised 0.2% June gain. Sales excluding gasoline stations and motor-vehicle dealers fell 0.2%; the retail control group fell 0.4%; food-services sales rose 0.5%.
- Retail-sales values are not adjusted for price changes and largely exclude services such as travel and lodging. The advance estimate is subject to revision.
- The preliminary University of Michigan consumer-sentiment index for August was 51.0, down from the final July reading of 55.2. The preliminary result covers the early part of the month and will be revised.
- The ISM Manufacturing PMI rose to 55.6 in July from 53.3. New orders were 56.7, production 58.5, employment 52.8, and prices 71.1.
- The ISM Services PMI was 54.1 in July versus 54.0 in June. Business activity was 59.1, new orders 57.2, employment 47.4, and prices 70.3. ISM figures are diffusion indexes; values above 50 generally denote expansion.

## Output, trade, and housing

- BEA's advance estimate put real Q2 GDP growth at a 1.5% annualized rate after 2.1% in Q1. Real final sales to private domestic purchasers rose at a 3.9% rate, and consumer spending rose at a 3.2% rate.
- The Q2 gross-domestic-purchases price index rose at a 5.7% annualized rate. The advance GDP estimate is scheduled for revision on August 26.
- Preliminary Q2 nonfarm business productivity rose at a 1.4% annualized rate; unit labor costs rose 1.3%.
- The June goods-and-services trade deficit narrowed to $73.3 billion from a revised $77.6 billion in May. The goods deficit was $102.1 billion and the services surplus was $28.8 billion.
- June housing starts were at a 1.427 million annual rate, 19.0% above revised May. Census reported a ±15.9 percentage-point confidence interval for the monthly change. Single-family starts were 895,000, down 0.2% with a ±10.2-point interval.
- June permits were at a 1.367 million annual rate, down 3.0% from May and 2.3% from a year earlier.
- Existing-home sales fell 1.7% in July to a 4.06 million annual rate and rose 0.7% from a year earlier. The median sales price was $434,100, up 2.0% over 12 months; unsold inventory was 1.54 million homes.
- Freddie Mac's average 30-year fixed mortgage rate was 6.67% for the week of August 13, versus 6.69% the prior week and 6.58% a year earlier.

## Rates, broad markets, and commodities

- On August 17, the Treasury par curve was 3.79% at one month, 3.87% at three months, 3.95% at six months, 4.00% at one year, 4.19% at two years, 4.38% at five years, 4.72% at ten years, 5.30% at 20 years, and 5.31% at 30 years.
- The August 17 closes were 7,745.06 for the S&P 500, 53,459.78 for the Dow, 26,644.91 for the Nasdaq Composite, and 3,057.54 for the Russell 2000. The one-day changes were -0.5%, -0.5%, -0.3%, and -0.4%, respectively.
- Reported year-to-date changes through August 17 were +13.1% for the S&P 500, +11.2% for the Dow, +14.6% for the Nasdaq, and +23.2% for the Russell 2000.
- Brent crude settled at $90.87 per barrel on August 17 after a 2.7% rise. Early August 18 trading was quoted at $91.08. Brent traded between roughly $72 and $102 during July.

## International datapoints

- Euro-area real GDP rose 0.4% quarter over quarter and 1.0% year over year in the preliminary Q2 flash estimate. The estimate covered 96% of euro-area GDP and is subject to revision.
- The ECB left its three policy rates unchanged on July 23 and said energy-price uncertainty was high and the full inflation effect of the energy shock had not yet played out.
- Japan's preliminary Q2 real GDP rose 0.3% quarter over quarter and at a 1.1% annualized rate, versus 2.1% annualized in Q1. Private spending fell 1.2% and exports rose 0.5% quarter over quarter.
- China's official manufacturing PMI fell to 49.2 in July from 50.3 in June; new orders were 48.5 and production was 49.9. Q2 GDP rose 4.3% year over year and 0.9% quarter over quarter.
- China's July trade surplus was $112.5 billion versus $125.6 billion in June.

## Scheduled events through the weekly exit

All times are Eastern and all items below were unreleased at the research cutoff.

- **August 18:** BLS July import/export prices and Census/HUD July housing starts at 8:30 a.m.; Federal Reserve July industrial production at 9:15 a.m.; Census Q2 retail e-commerce and NAR July pending-home sales at 10:00 a.m. Home Depot is scheduled to report Q2 results.
- **August 19:** Target and Lowe's are scheduled to report Q2 results. Minutes from the July 28–29 FOMC meeting are scheduled for 2:00 p.m.
- **August 20:** Walmart is scheduled to report Q2 results. Census is scheduled to publish the Q2 Advance Services Report at 10:00 a.m.
- **August 21:** BLS state employment and unemployment for July at 10:00 a.m.
- **August 25:** Census/HUD July new-home sales at 10:00 a.m., before the weekly exit close.

## Additional scheduled events through the monthly exit

- **August 26:** Q2 GDP second estimate and corporate profits, July personal income and outlays, and July durable-goods orders at 8:30 a.m.
- **August 27–28:** July Advance Economic Indicators on August 27; preliminary national and state payroll benchmark estimates on August 28.
- **September 1–4:** July JOLTS, July construction spending, and August manufacturing PMI on September 1; the Beige Book on September 2; July trade, revised Q2 productivity, and August services PMI on September 3; the August Employment Situation on September 4.
- **September 7:** U.S. markets are scheduled to close for Labor Day.
- **September 8–11:** Q2 corporate financial and services reports; August PPI on September 10; August CPI and real earnings on September 11.
- **September 15–16:** The FOMC is scheduled to meet, with a policy statement, Summary of Economic Projections, and press conference on September 16. August retail sales and import/export prices are also scheduled for September 16.
- **September 17–18:** August housing starts and permits on September 17; August industrial production at 9:15 a.m. and August state employment at 10:00 a.m. on September 18, before the monthly exit close.

## Options

Allowed option:
ID: CASH
Name: Cash / Do Not Invest
Symbol: N/A
Asset class: cash
Category: cash
Group: cash
Risk bucket: cash
Description: Cash position with no market exposure. Return is treated as 0 unless a round explicitly defines a cash yield proxy.

Allowed option:
ID: SHORT_TREASURY
Name: Short-Term Treasury Bills
Symbol: BIL
Asset class: cash_like
Category: treasury_bills
Group: cash_and_short_duration
Risk bucket: low
Description: Short-term US Treasury bill exposure. Typically used as a cash-like proxy with low duration risk.

Allowed option:
ID: SP500
Name: S&P 500
Symbol: SPY
Asset class: equity
Category: broad_us_equity
Group: us_broad_market
Risk bucket: medium
Description: Broad US large-cap equity exposure. Represents large publicly traded US companies across multiple sectors.

Allowed option:
ID: TOTAL_US_MARKET
Name: Total US Stock Market
Symbol: VTI
Asset class: equity
Category: broad_us_equity
Group: us_broad_market
Risk bucket: medium
Description: Broad exposure to the total US equity market, including large-, mid-, and small-cap companies. Useful as a diversified US equity proxy.

Allowed option:
ID: NASDAQ100
Name: Nasdaq 100
Symbol: QQQ
Asset class: equity
Category: growth_equity
Group: us_growth_and_technology
Risk bucket: high
Description: Large-cap, growth-oriented US equity exposure with heavy weights in technology and communication services. Sensitive to mega-cap earnings, rates, and growth-stock sentiment.

Allowed option:
ID: LARGE_GROWTH
Name: US Large-Cap Growth
Symbol: IWF
Asset class: equity
Category: style_factor
Group: us_style_factor
Risk bucket: high
Description: US large-cap growth stock exposure. Often tilted toward companies with higher expected growth, higher valuations, and greater sensitivity to interest rates.

Allowed option:
ID: LARGE_VALUE
Name: US Large-Cap Value
Symbol: IWD
Asset class: equity
Category: style_factor
Group: us_style_factor
Risk bucket: medium
Description: US large-cap value stock exposure. Often tilted toward companies with lower valuation multiples, dividends, financials, energy, and cyclical sectors.

Allowed option:
ID: MID_CAP
Name: US Mid-Cap Stocks
Symbol: IJH
Asset class: equity
Category: size_factor
Group: us_size_factor
Risk bucket: high
Description: US mid-cap equity exposure. Represents companies between large caps and small caps, with sensitivity to domestic growth, financing conditions, and risk appetite.

Allowed option:
ID: SMALL_CAP
Name: US Small-Cap Stocks
Symbol: IWM
Asset class: equity
Category: size_factor
Group: us_size_factor
Risk bucket: high
Description: US small-cap equity exposure. Often more sensitive to domestic economic growth, credit conditions, rates, and market risk appetite.

Allowed option:
ID: SMALL_VALUE
Name: US Small-Cap Value
Symbol: IWN
Asset class: equity
Category: style_and_size_factor
Group: us_style_factor
Risk bucket: high
Description: US small-cap value equity exposure. Combines smaller company exposure with value-oriented characteristics.

Allowed option:
ID: DIVIDEND
Name: US Dividend Equities
Symbol: SCHD
Asset class: equity
Category: dividend_equity
Group: us_factor_equity
Risk bucket: medium
Description: US dividend-oriented equity exposure. Often tilted toward profitable, mature companies with dividend histories.

Allowed option:
ID: LOW_VOL
Name: US Low Volatility Equities
Symbol: SPLV
Asset class: equity
Category: low_volatility_factor
Group: us_factor_equity
Risk bucket: medium
Description: US equity exposure focused on historically lower-volatility stocks. Often used as a defensive equity factor proxy.

Allowed option:
ID: MOMENTUM
Name: US Momentum Equities
Symbol: MTUM
Asset class: equity
Category: momentum_factor
Group: us_factor_equity
Risk bucket: high
Description: US equity exposure tilted toward stocks with stronger recent price momentum. Sensitive to trend persistence and factor rotations.

Allowed option:
ID: TECHNOLOGY
Name: Technology Sector
Symbol: XLK
Asset class: equity
Category: us_sector
Group: us_sector
Risk bucket: high
Description: US technology sector exposure within large-cap equities. Includes software, hardware, semiconductors, and technology services companies.

Allowed option:
ID: COMMUNICATIONS
Name: Communication Services Sector
Symbol: XLC
Asset class: equity
Category: us_sector
Group: us_sector
Risk bucket: high
Description: US communication services sector exposure. Includes large internet platforms, media, telecom, and entertainment companies.

Allowed option:
ID: CONSUMER_DISCRETIONARY
Name: Consumer Discretionary Sector
Symbol: XLY
Asset class: equity
Category: us_sector
Group: us_sector
Risk bucket: high
Description: US consumer discretionary sector exposure. Sensitive to consumer spending, employment, credit conditions, and household confidence.

Allowed option:
ID: CONSUMER_STAPLES
Name: Consumer Staples Sector
Symbol: XLP
Asset class: equity
Category: us_sector
Group: us_sector
Risk bucket: medium
Description: US consumer staples sector exposure. Includes companies selling essential consumer products and is often considered a defensive equity sector.

Allowed option:
ID: HEALTHCARE
Name: Healthcare Sector
Symbol: XLV
Asset class: equity
Category: us_sector
Group: us_sector
Risk bucket: medium
Description: US healthcare sector exposure. Includes pharmaceuticals, biotechnology, medical devices, healthcare services, and insurers.

Allowed option:
ID: FINANCIALS
Name: Financials Sector
Symbol: XLF
Asset class: equity
Category: us_sector
Group: us_sector
Risk bucket: high
Description: US financial sector exposure. Includes banks, insurers, capital markets firms, and financial services companies.

Allowed option:
ID: INDUSTRIALS
Name: Industrials Sector
Symbol: XLI
Asset class: equity
Category: us_sector
Group: us_sector
Risk bucket: medium
Description: US industrial sector exposure. Includes aerospace, machinery, transportation, logistics, and industrial services companies.

Allowed option:
ID: ENERGY
Name: Energy Sector
Symbol: XLE
Asset class: equity
Category: us_sector
Group: us_sector
Risk bucket: high
Description: US energy sector exposure. Sensitive to oil and gas prices, production trends, geopolitics, and capital discipline.

Allowed option:
ID: MATERIALS
Name: Materials Sector
Symbol: XLB
Asset class: equity
Category: us_sector
Group: us_sector
Risk bucket: medium
Description: US materials sector exposure. Includes chemicals, metals, mining, packaging, and construction materials companies.

Allowed option:
ID: UTILITIES
Name: Utilities Sector
Symbol: XLU
Asset class: equity
Category: us_sector
Group: us_sector
Risk bucket: medium
Description: US utilities sector exposure. Often sensitive to interest rates, electricity demand, regulation, and defensive equity flows.

Allowed option:
ID: REAL_ESTATE
Name: Real Estate Sector
Symbol: XLRE
Asset class: equity
Category: us_sector
Group: us_sector
Risk bucket: high
Description: US listed real estate equity exposure. Sensitive to interest rates, property fundamentals, credit conditions, and real estate valuations.

Allowed option:
ID: INTERMEDIATE_TREASURY
Name: Intermediate-Term US Treasury Bonds
Symbol: IEF
Asset class: bond
Category: treasury_duration
Group: bonds_and_rates
Risk bucket: medium
Description: Intermediate-duration US Treasury bond exposure. Sensitive to changes in interest rates, inflation expectations, and growth expectations.

Allowed option:
ID: LONG_TREASURY
Name: Long-Term US Treasury Bonds
Symbol: TLT
Asset class: bond
Category: treasury_duration
Group: bonds_and_rates
Risk bucket: high
Description: Long-duration US Treasury bond exposure. More sensitive to interest-rate changes than shorter-duration bond funds.

Allowed option:
ID: TIPS
Name: Treasury Inflation-Protected Securities
Symbol: TIP
Asset class: bond
Category: inflation_linked_bonds
Group: bonds_and_rates
Risk bucket: medium
Description: US Treasury inflation-protected bond exposure. Sensitive to real interest rates and inflation expectations.

Allowed option:
ID: INVESTMENT_GRADE_CREDIT
Name: Investment Grade Corporate Bonds
Symbol: LQD
Asset class: bond
Category: corporate_credit
Group: credit
Risk bucket: medium
Description: US investment-grade corporate bond exposure. Sensitive to interest rates, credit spreads, and corporate balance-sheet conditions.

Allowed option:
ID: HIGH_YIELD_CREDIT
Name: High Yield Corporate Bonds
Symbol: HYG
Asset class: bond
Category: corporate_credit
Group: credit
Risk bucket: high
Description: US high-yield corporate bond exposure. Sensitive to credit spreads, default expectations, liquidity, and risk appetite.

Allowed option:
ID: AGGREGATE_BONDS
Name: US Aggregate Bond Market
Symbol: AGG
Asset class: bond
Category: aggregate_bonds
Group: bonds_and_rates
Risk bucket: medium
Description: Broad US investment-grade bond market exposure. Includes Treasuries, agency securities, mortgage-backed securities, and corporate bonds.

Allowed option:
ID: DEVELOPED_EX_US
Name: Developed Markets ex-US
Symbol: VEA
Asset class: equity
Category: international_equity
Group: international_equity
Risk bucket: high
Description: Developed-market equity exposure outside the United States. Includes regions such as Europe, Japan, Canada, and developed Asia-Pacific markets.

Allowed option:
ID: EMERGING_MARKETS
Name: Emerging Markets
Symbol: VWO
Asset class: equity
Category: international_equity
Group: international_equity
Risk bucket: very_high
Description: Emerging-market equity exposure. Sensitive to global growth, currency moves, capital flows, commodity cycles, and country-specific policy risk.

Allowed option:
ID: EUROPE
Name: Europe Equities
Symbol: VGK
Asset class: equity
Category: regional_equity
Group: international_equity
Risk bucket: high
Description: European equity exposure. Sensitive to European growth, monetary policy, currency trends, energy costs, and regional earnings.

Allowed option:
ID: JAPAN
Name: Japan Equities
Symbol: EWJ
Asset class: equity
Category: regional_equity
Group: international_equity
Risk bucket: high
Description: Japanese equity exposure. Sensitive to Japanese corporate earnings, yen movements, monetary policy, and global trade conditions.

Allowed option:
ID: CHINA
Name: China Equities
Symbol: MCHI
Asset class: equity
Category: regional_equity
Group: international_equity
Risk bucket: very_high
Description: China equity exposure through publicly traded Chinese companies. Sensitive to Chinese growth, policy actions, currency moves, and geopolitical risk.

Allowed option:
ID: INDIA
Name: India Equities
Symbol: INDA
Asset class: equity
Category: regional_equity
Group: international_equity
Risk bucket: very_high
Description: Indian equity exposure. Sensitive to Indian economic growth, currency moves, domestic policy, valuations, and foreign capital flows.

Allowed option:
ID: GOLD
Name: Gold
Symbol: IAU
Asset class: commodity
Category: precious_metals
Group: commodities
Risk bucket: medium
Description: Gold exposure through a listed gold trust. Sensitive to real interest rates, US dollar strength, inflation expectations, and safe-haven demand.

Allowed option:
ID: BROAD_COMMODITIES
Name: Broad Commodities
Symbol: PDBC
Asset class: commodity
Category: broad_commodities
Group: commodities
Risk bucket: high
Description: Broad commodity exposure through a diversified commodity strategy ETF. Sensitive to energy, metals, agriculture, inflation expectations, and global demand.

Allowed option:
ID: SEMICONDUCTORS
Name: Semiconductors
Symbol: SMH
Asset class: equity
Category: thematic_equity
Group: ai_and_technology
Risk bucket: very_high
Description: Semiconductor equity exposure. Includes companies involved in chip design, manufacturing, equipment, and related supply chains.

Allowed option:
ID: SOFTWARE
Name: Software
Symbol: IGV
Asset class: equity
Category: thematic_equity
Group: ai_and_technology
Risk bucket: high
Description: Software equity exposure. Includes companies in application software, infrastructure software, and related technology services.

Allowed option:
ID: BROAD_AI_TECH
Name: Broad AI Technology
Symbol: AIQ
Asset class: equity
Category: thematic_equity
Group: ai_and_technology
Risk bucket: very_high
Description: Broad artificial intelligence and technology equity exposure. Includes companies associated with AI applications, infrastructure, data, and related technology services.

Allowed option:
ID: AUTONOMOUS_ROBOTICS
Name: Autonomous Technology and Robotics
Symbol: ARKQ
Asset class: equity
Category: thematic_equity
Group: ai_and_technology
Risk bucket: very_high
Description: Autonomous technology and robotics equity exposure. Includes companies associated with automation, robotics, autonomous transport, energy storage, and related technology platforms.

Allowed option:
ID: CYBERSECURITY
Name: Cybersecurity
Symbol: CIBR
Asset class: equity
Category: thematic_equity
Group: ai_and_technology
Risk bucket: high
Description: Cybersecurity equity exposure. Includes companies providing network security, identity, endpoint, cloud security, and related cybersecurity products and services.

Allowed option:
ID: SOLAR
Name: Solar Energy
Symbol: TAN
Asset class: equity
Category: thematic_equity
Group: clean_energy
Risk bucket: very_high
Description: Solar energy equity exposure. Includes companies associated with solar power equipment, development, installation, and related clean-energy supply chains.

Allowed option:
ID: METALS_MINING
Name: Metals and Mining
Symbol: XME
Asset class: equity
Category: commodity_equity
Group: commodities
Risk bucket: very_high
Description: Metals and mining equity exposure. Includes companies involved in steel, aluminum, precious metals, coal, copper, and diversified mining industries.

Allowed option:
ID: EQUAL_WEIGHT_SP500
Name: Equal-Weight S&P 500
Symbol: RSP
Asset class: equity
Category: broad_us_equity
Group: us_broad_market
Risk bucket: medium
Description: Equal-weight US large-cap equity exposure. Reduces concentration in the largest S&P 500 constituents compared with market-cap weighting.

Allowed option:
ID: BIOTECH
Name: Biotechnology
Symbol: XBI
Asset class: equity
Category: industry_equity
Group: healthcare_and_biotech
Risk bucket: very_high
Description: US biotechnology equity exposure. Sensitive to clinical data, financing conditions, regulation, mergers, and risk appetite.

Allowed option:
ID: REGIONAL_BANKS
Name: Regional Banks
Symbol: KRE
Asset class: equity
Category: industry_equity
Group: us_industry
Risk bucket: very_high
Description: US regional bank equity exposure. Sensitive to deposit trends, credit quality, yield curves, regulation, and commercial real estate conditions.

Allowed option:
ID: AEROSPACE_DEFENSE
Name: Aerospace and Defense
Symbol: ITA
Asset class: equity
Category: industry_equity
Group: us_industry
Risk bucket: high
Description: US aerospace and defense equity exposure. Sensitive to defense budgets, aircraft demand, supply chains, and geopolitical risk.

Allowed option:
ID: CANADA
Name: Canada Equities
Symbol: EWC
Asset class: equity
Category: country_equity
Group: country_equity
Risk bucket: high
Description: Canadian equity exposure through US-listed shares. Sensitive to financials, energy, materials, domestic growth, and Canadian dollar conditions.

Allowed option:
ID: UNITED_KINGDOM
Name: United Kingdom Equities
Symbol: EWU
Asset class: equity
Category: country_equity
Group: country_equity
Risk bucket: high
Description: United Kingdom equity exposure through US-listed shares. Sensitive to sterling, UK growth, global financials, energy, and dividend-oriented sectors.

Allowed option:
ID: AUSTRALIA
Name: Australia Equities
Symbol: EWA
Asset class: equity
Category: country_equity
Group: country_equity
Risk bucket: high
Description: Australian equity exposure through US-listed shares. Sensitive to banks, materials, commodity demand, China-linked growth, and Australian dollar conditions.

Allowed option:
ID: SOUTH_KOREA
Name: South Korea Equities
Symbol: EWY
Asset class: equity
Category: country_equity
Group: country_equity
Risk bucket: very_high
Description: South Korean equity exposure through US-listed shares. Sensitive to semiconductors, exports, won movements, global trade, and regional geopolitics.

Allowed option:
ID: TAIWAN
Name: Taiwan Equities
Symbol: EWT
Asset class: equity
Category: country_equity
Group: country_equity
Risk bucket: very_high
Description: Taiwan equity exposure through US-listed shares. Sensitive to semiconductor supply chains, global electronics demand, currency movements, and geopolitical risk.

Allowed option:
ID: BRAZIL
Name: Brazil Equities
Symbol: EWZ
Asset class: equity
Category: country_equity
Group: country_equity
Risk bucket: very_high
Description: Brazilian equity exposure through US-listed shares. Sensitive to commodities, rates, fiscal policy, currency moves, and emerging-market capital flows.

Allowed option:
ID: MEXICO
Name: Mexico Equities
Symbol: EWW
Asset class: equity
Category: country_equity
Group: country_equity
Risk bucket: high
Description: Mexican equity exposure through US-listed shares. Sensitive to domestic growth, currency moves, trade links, remittances, and nearshoring activity.

Allowed option:
ID: SOUTH_AFRICA
Name: South Africa Equities
Symbol: EZA
Asset class: equity
Category: country_equity
Group: country_equity
Risk bucket: very_high
Description: South African equity exposure through US-listed shares. Sensitive to resources, domestic policy, currency moves, power availability, and emerging-market flows.

Allowed option:
ID: MORTGAGE_BACKED_BONDS
Name: Agency Mortgage-Backed Bonds
Symbol: MBB
Asset class: bond
Category: securitized_bonds
Group: bonds_and_rates
Risk bucket: medium
Description: US agency mortgage-backed securities exposure. Sensitive to interest rates, prepayment behavior, mortgage spreads, and housing finance conditions.

Allowed option:
ID: MUNICIPAL_BONDS
Name: Municipal Bonds
Symbol: MUB
Asset class: bond
Category: municipal_bonds
Group: bonds_and_rates
Risk bucket: low
Description: US municipal bond exposure. Sensitive to rates, state and local credit conditions, fund flows, and tax-exempt fixed-income demand.

Allowed option:
ID: EMERGING_MARKET_BONDS
Name: Emerging Market USD Bonds
Symbol: EMB
Asset class: bond
Category: emerging_market_debt
Group: credit
Risk bucket: high
Description: US dollar emerging-market bond exposure. Sensitive to sovereign spreads, US rates, currency stress, commodity cycles, and global risk appetite.

Allowed option:
ID: INTERNATIONAL_BONDS
Name: International Aggregate Bonds
Symbol: BNDX
Asset class: bond
Category: international_bonds
Group: bonds_and_rates
Risk bucket: medium
Description: International investment-grade bond exposure. Sensitive to global rates, currency hedging, regional credit conditions, and non-US monetary policy.

Allowed option:
ID: SILVER
Name: Silver
Symbol: SLV
Asset class: commodity
Category: precious_metals
Group: commodities
Risk bucket: high
Description: Silver exposure through a listed trust. Sensitive to precious-metals demand, industrial usage, real rates, US dollar moves, and inflation expectations.

Allowed option:
ID: COPPER
Name: Copper
Symbol: CPER
Asset class: commodity
Category: industrial_metals
Group: commodities
Risk bucket: high
Description: Copper exposure through an exchange-traded product. Sensitive to industrial demand, China-linked growth, supply conditions, inventories, and electrification themes.

Allowed option:
ID: AGRICULTURE
Name: Agriculture Commodities
Symbol: DBA
Asset class: commodity
Category: agriculture
Group: commodities
Risk bucket: high
Description: Agricultural commodity exposure through a diversified exchange-traded product. Sensitive to weather, crop conditions, global demand, inventories, and currency moves.

Allowed option:
ID: OIL
Name: Crude Oil
Symbol: USO
Asset class: commodity
Category: energy_commodities
Group: commodities
Risk bucket: very_high
Description: Crude oil exposure through an exchange-traded product. Sensitive to supply, demand, inventories, OPEC policy, geopolitical risk, and futures-curve structure.

Allowed option:
ID: US_DOLLAR
Name: US Dollar
Symbol: UUP
Asset class: currency
Category: currency
Group: currencies
Risk bucket: medium
Description: US dollar currency exposure through an exchange-traded product. Sensitive to relative rates, global risk appetite, trade balances, and reserve-currency demand.

Allowed option:
ID: EURO
Name: Euro
Symbol: FXE
Asset class: currency
Category: currency
Group: currencies
Risk bucket: medium
Description: Euro currency exposure through an exchange-traded product. Sensitive to European rates, growth, fiscal policy, energy conditions, and US dollar movements.

Allowed option:
ID: YEN
Name: Japanese Yen
Symbol: FXY
Asset class: currency
Category: currency
Group: currencies
Risk bucket: high
Description: Japanese yen currency exposure through an exchange-traded product. Sensitive to Japanese monetary policy, rate differentials, carry trades, and safe-haven demand.

Allowed option:
ID: BITCOIN_ETF
Name: Bitcoin ETF
Symbol: IBIT
Asset class: crypto_proxy
Category: crypto_asset
Group: crypto_proxies
Risk bucket: very_high
Description: Bitcoin exposure through a US-listed spot bitcoin exchange-traded product. Sensitive to digital-asset flows, regulation, liquidity, rates, and risk appetite.

Allowed option:
ID: ETHEREUM_ETF
Name: Ethereum ETF
Symbol: ETHA
Asset class: crypto_proxy
Category: crypto_asset
Group: crypto_proxies
Risk bucket: very_high
Description: Ethereum exposure through a US-listed spot Ethereum exchange-traded product. Sensitive to digital-asset flows, network activity, regulation, liquidity, and risk appetite.
Base Instructions prompt.md
# CapitalBench portfolio-v3.0 Task

You are participating in an offline, time-resolved CapitalBench evaluation round. Every model receives the same frozen information and makes one single-turn, non-agentic judgment without tools, browsing, retrieval, or follow-up.

Your objective is to rank assets for realized return over exactly one week and identify candidates that can beat SPY. CapitalBench, not you, constructs the scored portfolio from your judgment using the fixed rule below.

The deterministic candidate slate exists to prevent omission; it is not a recommendation. Assess every slate candidate. You may add at most two wildcard options from the complete allowed universe, but only when the frozen briefing supplies a specific reason the mechanical slate missed.

Use only facts and mechanical market data supplied in this input. You may use internal learned knowledge and general priors, but do not intentionally rely on facts, prices, news, or events after the research cutoff. Treat section order, mention count, option order, table order, and slate inclusion as neutral presentation choices rather than recommendation signals.

Do not extrapolate recent returns mechanically. A recent winner has no positive edge without independent in-window support. Give extreme recent losers a fair reversal test, but distinguish temporary price overreaction from fundamental deterioration. Use the supplied cross-sectional dispersion, medium-horizon relative strength, volatility, drawdown, volume, briefing evidence, and quality evidence. Optimize for the stated close-to-close scoring window only.

For every assessed candidate, provide probabilities and an 80% excess-return range relative to SPY. Rank every assessment without ties. top3_option_ids must be the options ranked 1, 2, and 3. prefer_spy is a diagnostic judgment and does not override the deterministic rule.

CapitalBench applies this rule after your response:

1. Preserve your candidate ranks.
2. A non-SPY candidate is eligible only when you label its recent return as overreaction and give it at least a 55% probability of beating SPY.
3. Select at most the first three eligible candidates in your rank order.
4. Fill fixed portfolio slots of 35%, 35%, and 30% in that order.
5. Put every unused slot in SPY.

You do not submit allocations or an alternative portfolio. Return only valid JSON. Do not include markdown, citations, prose, or commentary outside the JSON.

Required JSON format:

{
  "round_id": "<round_id>",
  "model_id": "<model_id>",
  "provider": "<provider>",
  "mode": "closed_capability",
  "dispersion_state": "low, normal, or high",
  "dominant_pattern": "continuation, reversal, or mixed",
  "market_rationale": "<concise market-level judgment>",
  "candidate_assessments": [
    {
      "option_id": "<allowed option ID>",
      "origin_lanes": ["<exact lane or lanes from the deterministic slate, or wildcard>"],
      "mechanism": "continuation, reversal, catalyst, defensive, or no_edge",
      "p_beat_spy_pct": <integer 0-100>,
      "p_top3_pct": <integer 0-100>,
      "excess_return_p10_pct": <number>,
      "excess_return_p50_pct": <number>,
      "excess_return_p90_pct": <number>,
      "recent_return_interpretation": "overreaction, fundamental_deterioration, supported_continuation, or no_edge",
      "evidence": ["<1-3 concise facts from the supplied input>"],
      "rank": <unique contiguous integer beginning at 1>
    }
  ],
  "top3_option_ids": ["<rank 1>", "<rank 2>", "<rank 3>"],
  "prefer_spy": <boolean>,
  "portfolio_rationale": "<concise explanation of the ranked judgment>",
  "key_risks": ["<risk 1>", "<risk 2>"]
}

Rules:
- assess every deterministic slate candidate and no more than two optional wildcards;
- use origin_lanes exactly as shown for slate candidates and ["wildcard"] for additions;
- probabilities are whole percentages from 0 to 100;
- excess-return estimates are percentage points relative to SPY and must satisfy p10 <= p50 <= p90;
- ranks must be unique and contiguous from 1 through the number of assessments;
- evidence must refer only to supplied input and contain no URLs;
- key_risks must contain 2-5 concrete risks;
- do not output portfolio allocations, a second ranking, a financial-advice disclaimer, or extra fields.
Round Manifest manifest.yaml
round_id: CB-2026-08-18-1W
title: CapitalBench CB-2026-08-18-1W
description: One-week market allocation evaluation round.
decision_date: '2026-08-18'
decision_deadline: '2026-08-18T13:25:00Z'
horizon: one week
methodology_version: portfolio-v3.0
model_roster_version: portfolio-v3-roster-cbcb0bc7f6ba
model_roster_frozen_at_utc: '2026-08-18T04:44:19.230048+00:00'
expected_model_ids:
- openai-gpt-5-6-sol
- anthropic-claude-opus-4-8
- anthropic-claude-opus-5
- anthropic-claude-fable-5
- google-gemini-3-1-pro
- xai-grok-4-3
- xai-grok-4-5
- xai-grok-4-6
universe_version: v2.1
submission_format: portfolio
portfolio_constraints:
  min_holdings: 1
  max_holdings: 3
  allocation_increment_pct: 5
  min_allocation_pct: 5
  max_total_allocation_pct: 100
  allow_cash: true
  allow_benchmark_asset: true
  max_economic_exposure_pct: null
entry_rule: Use the Tuesday, August 18, 2026 adjusted close supplied in prices/entry_prices.csv.
exit_rule: Use the Tuesday, August 25, 2026 adjusted close supplied in prices/exit_prices.csv.
entry_date: '2026-08-18'
exit_date: '2026-08-25'
created_at: '2026-08-18T04:44:19.230048+00:00'
notes: Fresh August 18, 2026 weekly Portfolio V3.0 production round. Research cutoff 2026-08-18T04:47:05Z. Entry and exit use official close prices.
Briefing briefing.md
# CapitalBench Factual Briefing — August 18, 2026

Research cutoff: **2026-08-18T04:47:05Z**. Decision deadline: **2026-08-18T13:25:00Z**. The entry is the Tuesday, August 18 adjusted close. The weekly exit is the Tuesday, August 25 adjusted close; the monthly exit is the Friday, September 18 adjusted close.

This briefing provides fixed factual datapoints only. It does not rank, recommend, analyze, or map facts to CapitalBench options. Inclusion, order, grouping, and row count are not evidence of expected return. A mechanical full-universe price, risk, and benchmark-relative appendix follows this briefing in the model input.

## Prices, income, and policy

- The Bureau of Labor Statistics reported that the CPI rose 0.1% in July and 3.4% over 12 months, after a 0.4% monthly decline and 3.5% annual increase in June. Core CPI rose 0.2% in July and 2.5% over 12 months.
- July energy prices fell 1.5%, including a nearly 3% decline in gasoline. Grocery prices rose 0.1%, airline fares rose 2.2%, medical care rose 0.4%, and used-car and truck prices rose 0.4%.
- The Producer Price Index for final demand was unchanged in July and rose 4.7% over 12 months, down from 5.5% in June. Core producer prices excluding food and energy rose 0.2% in July and 4.2% over 12 months.
- BEA reported that the June PCE price index fell 0.1% from May and rose 3.7% over 12 months. Core PCE rose 0.1% in June and 3.3% over 12 months.
- June personal income and disposable personal income each rose 0.2%. Nominal personal consumption expenditures rose 0.3%; the saving rate was 2.7%.
- On July 29, the FOMC maintained the federal-funds target range at 3.50%–3.75% by a 9–3 vote. Three members preferred a 25-basis-point increase. The Committee said inflation remained elevated relative to its 2% goal.

## Labor, consumers, and business activity

- Nonfarm payroll employment fell by 23,000 in July, and May and June were revised down by a combined 103,000. The unemployment rate fell to 4.1% as labor-force participation fell to 61.4%.
- July local public-school employment fell by 50,000, restaurant and bar employment by 26,000, and retail employment by 19,000. Construction added 22,000 jobs and manufacturing added 5,000.
- Average hourly earnings rose 3.2% from July 2025. The establishment payroll estimate remains subject to revision.
- June job openings were 7.36 million versus 7.54 million in May. Layoffs were little changed at 1.8 million; gross hires rose slightly to 5.3 million.
- Advance retail and food-services sales fell 0.6% in July after a revised 0.2% June gain. Sales excluding gasoline stations and motor-vehicle dealers fell 0.2%; the retail control group fell 0.4%; food-services sales rose 0.5%.
- Retail-sales values are not adjusted for price changes and largely exclude services such as travel and lodging. The advance estimate is subject to revision.
- The preliminary University of Michigan consumer-sentiment index for August was 51.0, down from the final July reading of 55.2. The preliminary result covers the early part of the month and will be revised.
- The ISM Manufacturing PMI rose to 55.6 in July from 53.3. New orders were 56.7, production 58.5, employment 52.8, and prices 71.1.
- The ISM Services PMI was 54.1 in July versus 54.0 in June. Business activity was 59.1, new orders 57.2, employment 47.4, and prices 70.3. ISM figures are diffusion indexes; values above 50 generally denote expansion.

## Output, trade, and housing

- BEA's advance estimate put real Q2 GDP growth at a 1.5% annualized rate after 2.1% in Q1. Real final sales to private domestic purchasers rose at a 3.9% rate, and consumer spending rose at a 3.2% rate.
- The Q2 gross-domestic-purchases price index rose at a 5.7% annualized rate. The advance GDP estimate is scheduled for revision on August 26.
- Preliminary Q2 nonfarm business productivity rose at a 1.4% annualized rate; unit labor costs rose 1.3%.
- The June goods-and-services trade deficit narrowed to $73.3 billion from a revised $77.6 billion in May. The goods deficit was $102.1 billion and the services surplus was $28.8 billion.
- June housing starts were at a 1.427 million annual rate, 19.0% above revised May. Census reported a ±15.9 percentage-point confidence interval for the monthly change. Single-family starts were 895,000, down 0.2% with a ±10.2-point interval.
- June permits were at a 1.367 million annual rate, down 3.0% from May and 2.3% from a year earlier.
- Existing-home sales fell 1.7% in July to a 4.06 million annual rate and rose 0.7% from a year earlier. The median sales price was $434,100, up 2.0% over 12 months; unsold inventory was 1.54 million homes.
- Freddie Mac's average 30-year fixed mortgage rate was 6.67% for the week of August 13, versus 6.69% the prior week and 6.58% a year earlier.

## Rates, broad markets, and commodities

- On August 17, the Treasury par curve was 3.79% at one month, 3.87% at three months, 3.95% at six months, 4.00% at one year, 4.19% at two years, 4.38% at five years, 4.72% at ten years, 5.30% at 20 years, and 5.31% at 30 years.
- The August 17 closes were 7,745.06 for the S&P 500, 53,459.78 for the Dow, 26,644.91 for the Nasdaq Composite, and 3,057.54 for the Russell 2000. The one-day changes were -0.5%, -0.5%, -0.3%, and -0.4%, respectively.
- Reported year-to-date changes through August 17 were +13.1% for the S&P 500, +11.2% for the Dow, +14.6% for the Nasdaq, and +23.2% for the Russell 2000.
- Brent crude settled at $90.87 per barrel on August 17 after a 2.7% rise. Early August 18 trading was quoted at $91.08. Brent traded between roughly $72 and $102 during July.

## International datapoints

- Euro-area real GDP rose 0.4% quarter over quarter and 1.0% year over year in the preliminary Q2 flash estimate. The estimate covered 96% of euro-area GDP and is subject to revision.
- The ECB left its three policy rates unchanged on July 23 and said energy-price uncertainty was high and the full inflation effect of the energy shock had not yet played out.
- Japan's preliminary Q2 real GDP rose 0.3% quarter over quarter and at a 1.1% annualized rate, versus 2.1% annualized in Q1. Private spending fell 1.2% and exports rose 0.5% quarter over quarter.
- China's official manufacturing PMI fell to 49.2 in July from 50.3 in June; new orders were 48.5 and production was 49.9. Q2 GDP rose 4.3% year over year and 0.9% quarter over quarter.
- China's July trade surplus was $112.5 billion versus $125.6 billion in June.

## Scheduled events through the weekly exit

All times are Eastern and all items below were unreleased at the research cutoff.

- **August 18:** BLS July import/export prices and Census/HUD July housing starts at 8:30 a.m.; Federal Reserve July industrial production at 9:15 a.m.; Census Q2 retail e-commerce and NAR July pending-home sales at 10:00 a.m. Home Depot is scheduled to report Q2 results.
- **August 19:** Target and Lowe's are scheduled to report Q2 results. Minutes from the July 28–29 FOMC meeting are scheduled for 2:00 p.m.
- **August 20:** Walmart is scheduled to report Q2 results. Census is scheduled to publish the Q2 Advance Services Report at 10:00 a.m.
- **August 21:** BLS state employment and unemployment for July at 10:00 a.m.
- **August 25:** Census/HUD July new-home sales at 10:00 a.m., before the weekly exit close.

## Additional scheduled events through the monthly exit

- **August 26:** Q2 GDP second estimate and corporate profits, July personal income and outlays, and July durable-goods orders at 8:30 a.m.
- **August 27–28:** July Advance Economic Indicators on August 27; preliminary national and state payroll benchmark estimates on August 28.
- **September 1–4:** July JOLTS, July construction spending, and August manufacturing PMI on September 1; the Beige Book on September 2; July trade, revised Q2 productivity, and August services PMI on September 3; the August Employment Situation on September 4.
- **September 7:** U.S. markets are scheduled to close for Labor Day.
- **September 8–11:** Q2 corporate financial and services reports; August PPI on September 10; August CPI and real earnings on September 11.
- **September 15–16:** The FOMC is scheduled to meet, with a policy statement, Summary of Economic Projections, and press conference on September 16. August retail sales and import/export prices are also scheduled for September 16.
- **September 17–18:** August housing starts and permits on September 17; August industrial production at 9:15 a.m. and August state employment at 10:00 a.m. on September 18, before the monthly exit close.
Rendered Options In Prompt options.yaml rendered for model prompt
Allowed option:
ID: CASH
Name: Cash / Do Not Invest
Symbol: N/A
Asset class: cash
Category: cash
Group: cash
Risk bucket: cash
Description: Cash position with no market exposure. Return is treated as 0 unless a round explicitly defines a cash yield proxy.

Allowed option:
ID: SHORT_TREASURY
Name: Short-Term Treasury Bills
Symbol: BIL
Asset class: cash_like
Category: treasury_bills
Group: cash_and_short_duration
Risk bucket: low
Description: Short-term US Treasury bill exposure. Typically used as a cash-like proxy with low duration risk.

Allowed option:
ID: SP500
Name: S&P 500
Symbol: SPY
Asset class: equity
Category: broad_us_equity
Group: us_broad_market
Risk bucket: medium
Description: Broad US large-cap equity exposure. Represents large publicly traded US companies across multiple sectors.

Allowed option:
ID: TOTAL_US_MARKET
Name: Total US Stock Market
Symbol: VTI
Asset class: equity
Category: broad_us_equity
Group: us_broad_market
Risk bucket: medium
Description: Broad exposure to the total US equity market, including large-, mid-, and small-cap companies. Useful as a diversified US equity proxy.

Allowed option:
ID: NASDAQ100
Name: Nasdaq 100
Symbol: QQQ
Asset class: equity
Category: growth_equity
Group: us_growth_and_technology
Risk bucket: high
Description: Large-cap, growth-oriented US equity exposure with heavy weights in technology and communication services. Sensitive to mega-cap earnings, rates, and growth-stock sentiment.

Allowed option:
ID: LARGE_GROWTH
Name: US Large-Cap Growth
Symbol: IWF
Asset class: equity
Category: style_factor
Group: us_style_factor
Risk bucket: high
Description: US large-cap growth stock exposure. Often tilted toward companies with higher expected growth, higher valuations, and greater sensitivity to interest rates.

Allowed option:
ID: LARGE_VALUE
Name: US Large-Cap Value
Symbol: IWD
Asset class: equity
Category: style_factor
Group: us_style_factor
Risk bucket: medium
Description: US large-cap value stock exposure. Often tilted toward companies with lower valuation multiples, dividends, financials, energy, and cyclical sectors.

Allowed option:
ID: MID_CAP
Name: US Mid-Cap Stocks
Symbol: IJH
Asset class: equity
Category: size_factor
Group: us_size_factor
Risk bucket: high
Description: US mid-cap equity exposure. Represents companies between large caps and small caps, with sensitivity to domestic growth, financing conditions, and risk appetite.

Allowed option:
ID: SMALL_CAP
Name: US Small-Cap Stocks
Symbol: IWM
Asset class: equity
Category: size_factor
Group: us_size_factor
Risk bucket: high
Description: US small-cap equity exposure. Often more sensitive to domestic economic growth, credit conditions, rates, and market risk appetite.

Allowed option:
ID: SMALL_VALUE
Name: US Small-Cap Value
Symbol: IWN
Asset class: equity
Category: style_and_size_factor
Group: us_style_factor
Risk bucket: high
Description: US small-cap value equity exposure. Combines smaller company exposure with value-oriented characteristics.

Allowed option:
ID: DIVIDEND
Name: US Dividend Equities
Symbol: SCHD
Asset class: equity
Category: dividend_equity
Group: us_factor_equity
Risk bucket: medium
Description: US dividend-oriented equity exposure. Often tilted toward profitable, mature companies with dividend histories.

Allowed option:
ID: LOW_VOL
Name: US Low Volatility Equities
Symbol: SPLV
Asset class: equity
Category: low_volatility_factor
Group: us_factor_equity
Risk bucket: medium
Description: US equity exposure focused on historically lower-volatility stocks. Often used as a defensive equity factor proxy.

Allowed option:
ID: MOMENTUM
Name: US Momentum Equities
Symbol: MTUM
Asset class: equity
Category: momentum_factor
Group: us_factor_equity
Risk bucket: high
Description: US equity exposure tilted toward stocks with stronger recent price momentum. Sensitive to trend persistence and factor rotations.

Allowed option:
ID: TECHNOLOGY
Name: Technology Sector
Symbol: XLK
Asset class: equity
Category: us_sector
Group: us_sector
Risk bucket: high
Description: US technology sector exposure within large-cap equities. Includes software, hardware, semiconductors, and technology services companies.

Allowed option:
ID: COMMUNICATIONS
Name: Communication Services Sector
Symbol: XLC
Asset class: equity
Category: us_sector
Group: us_sector
Risk bucket: high
Description: US communication services sector exposure. Includes large internet platforms, media, telecom, and entertainment companies.

Allowed option:
ID: CONSUMER_DISCRETIONARY
Name: Consumer Discretionary Sector
Symbol: XLY
Asset class: equity
Category: us_sector
Group: us_sector
Risk bucket: high
Description: US consumer discretionary sector exposure. Sensitive to consumer spending, employment, credit conditions, and household confidence.

Allowed option:
ID: CONSUMER_STAPLES
Name: Consumer Staples Sector
Symbol: XLP
Asset class: equity
Category: us_sector
Group: us_sector
Risk bucket: medium
Description: US consumer staples sector exposure. Includes companies selling essential consumer products and is often considered a defensive equity sector.

Allowed option:
ID: HEALTHCARE
Name: Healthcare Sector
Symbol: XLV
Asset class: equity
Category: us_sector
Group: us_sector
Risk bucket: medium
Description: US healthcare sector exposure. Includes pharmaceuticals, biotechnology, medical devices, healthcare services, and insurers.

Allowed option:
ID: FINANCIALS
Name: Financials Sector
Symbol: XLF
Asset class: equity
Category: us_sector
Group: us_sector
Risk bucket: high
Description: US financial sector exposure. Includes banks, insurers, capital markets firms, and financial services companies.

Allowed option:
ID: INDUSTRIALS
Name: Industrials Sector
Symbol: XLI
Asset class: equity
Category: us_sector
Group: us_sector
Risk bucket: medium
Description: US industrial sector exposure. Includes aerospace, machinery, transportation, logistics, and industrial services companies.

Allowed option:
ID: ENERGY
Name: Energy Sector
Symbol: XLE
Asset class: equity
Category: us_sector
Group: us_sector
Risk bucket: high
Description: US energy sector exposure. Sensitive to oil and gas prices, production trends, geopolitics, and capital discipline.

Allowed option:
ID: MATERIALS
Name: Materials Sector
Symbol: XLB
Asset class: equity
Category: us_sector
Group: us_sector
Risk bucket: medium
Description: US materials sector exposure. Includes chemicals, metals, mining, packaging, and construction materials companies.

Allowed option:
ID: UTILITIES
Name: Utilities Sector
Symbol: XLU
Asset class: equity
Category: us_sector
Group: us_sector
Risk bucket: medium
Description: US utilities sector exposure. Often sensitive to interest rates, electricity demand, regulation, and defensive equity flows.

Allowed option:
ID: REAL_ESTATE
Name: Real Estate Sector
Symbol: XLRE
Asset class: equity
Category: us_sector
Group: us_sector
Risk bucket: high
Description: US listed real estate equity exposure. Sensitive to interest rates, property fundamentals, credit conditions, and real estate valuations.

Allowed option:
ID: INTERMEDIATE_TREASURY
Name: Intermediate-Term US Treasury Bonds
Symbol: IEF
Asset class: bond
Category: treasury_duration
Group: bonds_and_rates
Risk bucket: medium
Description: Intermediate-duration US Treasury bond exposure. Sensitive to changes in interest rates, inflation expectations, and growth expectations.

Allowed option:
ID: LONG_TREASURY
Name: Long-Term US Treasury Bonds
Symbol: TLT
Asset class: bond
Category: treasury_duration
Group: bonds_and_rates
Risk bucket: high
Description: Long-duration US Treasury bond exposure. More sensitive to interest-rate changes than shorter-duration bond funds.

Allowed option:
ID: TIPS
Name: Treasury Inflation-Protected Securities
Symbol: TIP
Asset class: bond
Category: inflation_linked_bonds
Group: bonds_and_rates
Risk bucket: medium
Description: US Treasury inflation-protected bond exposure. Sensitive to real interest rates and inflation expectations.

Allowed option:
ID: INVESTMENT_GRADE_CREDIT
Name: Investment Grade Corporate Bonds
Symbol: LQD
Asset class: bond
Category: corporate_credit
Group: credit
Risk bucket: medium
Description: US investment-grade corporate bond exposure. Sensitive to interest rates, credit spreads, and corporate balance-sheet conditions.

Allowed option:
ID: HIGH_YIELD_CREDIT
Name: High Yield Corporate Bonds
Symbol: HYG
Asset class: bond
Category: corporate_credit
Group: credit
Risk bucket: high
Description: US high-yield corporate bond exposure. Sensitive to credit spreads, default expectations, liquidity, and risk appetite.

Allowed option:
ID: AGGREGATE_BONDS
Name: US Aggregate Bond Market
Symbol: AGG
Asset class: bond
Category: aggregate_bonds
Group: bonds_and_rates
Risk bucket: medium
Description: Broad US investment-grade bond market exposure. Includes Treasuries, agency securities, mortgage-backed securities, and corporate bonds.

Allowed option:
ID: DEVELOPED_EX_US
Name: Developed Markets ex-US
Symbol: VEA
Asset class: equity
Category: international_equity
Group: international_equity
Risk bucket: high
Description: Developed-market equity exposure outside the United States. Includes regions such as Europe, Japan, Canada, and developed Asia-Pacific markets.

Allowed option:
ID: EMERGING_MARKETS
Name: Emerging Markets
Symbol: VWO
Asset class: equity
Category: international_equity
Group: international_equity
Risk bucket: very_high
Description: Emerging-market equity exposure. Sensitive to global growth, currency moves, capital flows, commodity cycles, and country-specific policy risk.

Allowed option:
ID: EUROPE
Name: Europe Equities
Symbol: VGK
Asset class: equity
Category: regional_equity
Group: international_equity
Risk bucket: high
Description: European equity exposure. Sensitive to European growth, monetary policy, currency trends, energy costs, and regional earnings.

Allowed option:
ID: JAPAN
Name: Japan Equities
Symbol: EWJ
Asset class: equity
Category: regional_equity
Group: international_equity
Risk bucket: high
Description: Japanese equity exposure. Sensitive to Japanese corporate earnings, yen movements, monetary policy, and global trade conditions.

Allowed option:
ID: CHINA
Name: China Equities
Symbol: MCHI
Asset class: equity
Category: regional_equity
Group: international_equity
Risk bucket: very_high
Description: China equity exposure through publicly traded Chinese companies. Sensitive to Chinese growth, policy actions, currency moves, and geopolitical risk.

Allowed option:
ID: INDIA
Name: India Equities
Symbol: INDA
Asset class: equity
Category: regional_equity
Group: international_equity
Risk bucket: very_high
Description: Indian equity exposure. Sensitive to Indian economic growth, currency moves, domestic policy, valuations, and foreign capital flows.

Allowed option:
ID: GOLD
Name: Gold
Symbol: IAU
Asset class: commodity
Category: precious_metals
Group: commodities
Risk bucket: medium
Description: Gold exposure through a listed gold trust. Sensitive to real interest rates, US dollar strength, inflation expectations, and safe-haven demand.

Allowed option:
ID: BROAD_COMMODITIES
Name: Broad Commodities
Symbol: PDBC
Asset class: commodity
Category: broad_commodities
Group: commodities
Risk bucket: high
Description: Broad commodity exposure through a diversified commodity strategy ETF. Sensitive to energy, metals, agriculture, inflation expectations, and global demand.

Allowed option:
ID: SEMICONDUCTORS
Name: Semiconductors
Symbol: SMH
Asset class: equity
Category: thematic_equity
Group: ai_and_technology
Risk bucket: very_high
Description: Semiconductor equity exposure. Includes companies involved in chip design, manufacturing, equipment, and related supply chains.

Allowed option:
ID: SOFTWARE
Name: Software
Symbol: IGV
Asset class: equity
Category: thematic_equity
Group: ai_and_technology
Risk bucket: high
Description: Software equity exposure. Includes companies in application software, infrastructure software, and related technology services.

Allowed option:
ID: BROAD_AI_TECH
Name: Broad AI Technology
Symbol: AIQ
Asset class: equity
Category: thematic_equity
Group: ai_and_technology
Risk bucket: very_high
Description: Broad artificial intelligence and technology equity exposure. Includes companies associated with AI applications, infrastructure, data, and related technology services.

Allowed option:
ID: AUTONOMOUS_ROBOTICS
Name: Autonomous Technology and Robotics
Symbol: ARKQ
Asset class: equity
Category: thematic_equity
Group: ai_and_technology
Risk bucket: very_high
Description: Autonomous technology and robotics equity exposure. Includes companies associated with automation, robotics, autonomous transport, energy storage, and related technology platforms.

Allowed option:
ID: CYBERSECURITY
Name: Cybersecurity
Symbol: CIBR
Asset class: equity
Category: thematic_equity
Group: ai_and_technology
Risk bucket: high
Description: Cybersecurity equity exposure. Includes companies providing network security, identity, endpoint, cloud security, and related cybersecurity products and services.

Allowed option:
ID: SOLAR
Name: Solar Energy
Symbol: TAN
Asset class: equity
Category: thematic_equity
Group: clean_energy
Risk bucket: very_high
Description: Solar energy equity exposure. Includes companies associated with solar power equipment, development, installation, and related clean-energy supply chains.

Allowed option:
ID: METALS_MINING
Name: Metals and Mining
Symbol: XME
Asset class: equity
Category: commodity_equity
Group: commodities
Risk bucket: very_high
Description: Metals and mining equity exposure. Includes companies involved in steel, aluminum, precious metals, coal, copper, and diversified mining industries.

Allowed option:
ID: EQUAL_WEIGHT_SP500
Name: Equal-Weight S&P 500
Symbol: RSP
Asset class: equity
Category: broad_us_equity
Group: us_broad_market
Risk bucket: medium
Description: Equal-weight US large-cap equity exposure. Reduces concentration in the largest S&P 500 constituents compared with market-cap weighting.

Allowed option:
ID: BIOTECH
Name: Biotechnology
Symbol: XBI
Asset class: equity
Category: industry_equity
Group: healthcare_and_biotech
Risk bucket: very_high
Description: US biotechnology equity exposure. Sensitive to clinical data, financing conditions, regulation, mergers, and risk appetite.

Allowed option:
ID: REGIONAL_BANKS
Name: Regional Banks
Symbol: KRE
Asset class: equity
Category: industry_equity
Group: us_industry
Risk bucket: very_high
Description: US regional bank equity exposure. Sensitive to deposit trends, credit quality, yield curves, regulation, and commercial real estate conditions.

Allowed option:
ID: AEROSPACE_DEFENSE
Name: Aerospace and Defense
Symbol: ITA
Asset class: equity
Category: industry_equity
Group: us_industry
Risk bucket: high
Description: US aerospace and defense equity exposure. Sensitive to defense budgets, aircraft demand, supply chains, and geopolitical risk.

Allowed option:
ID: CANADA
Name: Canada Equities
Symbol: EWC
Asset class: equity
Category: country_equity
Group: country_equity
Risk bucket: high
Description: Canadian equity exposure through US-listed shares. Sensitive to financials, energy, materials, domestic growth, and Canadian dollar conditions.

Allowed option:
ID: UNITED_KINGDOM
Name: United Kingdom Equities
Symbol: EWU
Asset class: equity
Category: country_equity
Group: country_equity
Risk bucket: high
Description: United Kingdom equity exposure through US-listed shares. Sensitive to sterling, UK growth, global financials, energy, and dividend-oriented sectors.

Allowed option:
ID: AUSTRALIA
Name: Australia Equities
Symbol: EWA
Asset class: equity
Category: country_equity
Group: country_equity
Risk bucket: high
Description: Australian equity exposure through US-listed shares. Sensitive to banks, materials, commodity demand, China-linked growth, and Australian dollar conditions.

Allowed option:
ID: SOUTH_KOREA
Name: South Korea Equities
Symbol: EWY
Asset class: equity
Category: country_equity
Group: country_equity
Risk bucket: very_high
Description: South Korean equity exposure through US-listed shares. Sensitive to semiconductors, exports, won movements, global trade, and regional geopolitics.

Allowed option:
ID: TAIWAN
Name: Taiwan Equities
Symbol: EWT
Asset class: equity
Category: country_equity
Group: country_equity
Risk bucket: very_high
Description: Taiwan equity exposure through US-listed shares. Sensitive to semiconductor supply chains, global electronics demand, currency movements, and geopolitical risk.

Allowed option:
ID: BRAZIL
Name: Brazil Equities
Symbol: EWZ
Asset class: equity
Category: country_equity
Group: country_equity
Risk bucket: very_high
Description: Brazilian equity exposure through US-listed shares. Sensitive to commodities, rates, fiscal policy, currency moves, and emerging-market capital flows.

Allowed option:
ID: MEXICO
Name: Mexico Equities
Symbol: EWW
Asset class: equity
Category: country_equity
Group: country_equity
Risk bucket: high
Description: Mexican equity exposure through US-listed shares. Sensitive to domestic growth, currency moves, trade links, remittances, and nearshoring activity.

Allowed option:
ID: SOUTH_AFRICA
Name: South Africa Equities
Symbol: EZA
Asset class: equity
Category: country_equity
Group: country_equity
Risk bucket: very_high
Description: South African equity exposure through US-listed shares. Sensitive to resources, domestic policy, currency moves, power availability, and emerging-market flows.

Allowed option:
ID: MORTGAGE_BACKED_BONDS
Name: Agency Mortgage-Backed Bonds
Symbol: MBB
Asset class: bond
Category: securitized_bonds
Group: bonds_and_rates
Risk bucket: medium
Description: US agency mortgage-backed securities exposure. Sensitive to interest rates, prepayment behavior, mortgage spreads, and housing finance conditions.

Allowed option:
ID: MUNICIPAL_BONDS
Name: Municipal Bonds
Symbol: MUB
Asset class: bond
Category: municipal_bonds
Group: bonds_and_rates
Risk bucket: low
Description: US municipal bond exposure. Sensitive to rates, state and local credit conditions, fund flows, and tax-exempt fixed-income demand.

Allowed option:
ID: EMERGING_MARKET_BONDS
Name: Emerging Market USD Bonds
Symbol: EMB
Asset class: bond
Category: emerging_market_debt
Group: credit
Risk bucket: high
Description: US dollar emerging-market bond exposure. Sensitive to sovereign spreads, US rates, currency stress, commodity cycles, and global risk appetite.

Allowed option:
ID: INTERNATIONAL_BONDS
Name: International Aggregate Bonds
Symbol: BNDX
Asset class: bond
Category: international_bonds
Group: bonds_and_rates
Risk bucket: medium
Description: International investment-grade bond exposure. Sensitive to global rates, currency hedging, regional credit conditions, and non-US monetary policy.

Allowed option:
ID: SILVER
Name: Silver
Symbol: SLV
Asset class: commodity
Category: precious_metals
Group: commodities
Risk bucket: high
Description: Silver exposure through a listed trust. Sensitive to precious-metals demand, industrial usage, real rates, US dollar moves, and inflation expectations.

Allowed option:
ID: COPPER
Name: Copper
Symbol: CPER
Asset class: commodity
Category: industrial_metals
Group: commodities
Risk bucket: high
Description: Copper exposure through an exchange-traded product. Sensitive to industrial demand, China-linked growth, supply conditions, inventories, and electrification themes.

Allowed option:
ID: AGRICULTURE
Name: Agriculture Commodities
Symbol: DBA
Asset class: commodity
Category: agriculture
Group: commodities
Risk bucket: high
Description: Agricultural commodity exposure through a diversified exchange-traded product. Sensitive to weather, crop conditions, global demand, inventories, and currency moves.

Allowed option:
ID: OIL
Name: Crude Oil
Symbol: USO
Asset class: commodity
Category: energy_commodities
Group: commodities
Risk bucket: very_high
Description: Crude oil exposure through an exchange-traded product. Sensitive to supply, demand, inventories, OPEC policy, geopolitical risk, and futures-curve structure.

Allowed option:
ID: US_DOLLAR
Name: US Dollar
Symbol: UUP
Asset class: currency
Category: currency
Group: currencies
Risk bucket: medium
Description: US dollar currency exposure through an exchange-traded product. Sensitive to relative rates, global risk appetite, trade balances, and reserve-currency demand.

Allowed option:
ID: EURO
Name: Euro
Symbol: FXE
Asset class: currency
Category: currency
Group: currencies
Risk bucket: medium
Description: Euro currency exposure through an exchange-traded product. Sensitive to European rates, growth, fiscal policy, energy conditions, and US dollar movements.

Allowed option:
ID: YEN
Name: Japanese Yen
Symbol: FXY
Asset class: currency
Category: currency
Group: currencies
Risk bucket: high
Description: Japanese yen currency exposure through an exchange-traded product. Sensitive to Japanese monetary policy, rate differentials, carry trades, and safe-haven demand.

Allowed option:
ID: BITCOIN_ETF
Name: Bitcoin ETF
Symbol: IBIT
Asset class: crypto_proxy
Category: crypto_asset
Group: crypto_proxies
Risk bucket: very_high
Description: Bitcoin exposure through a US-listed spot bitcoin exchange-traded product. Sensitive to digital-asset flows, regulation, liquidity, rates, and risk appetite.

Allowed option:
ID: ETHEREUM_ETF
Name: Ethereum ETF
Symbol: ETHA
Asset class: crypto_proxy
Category: crypto_asset
Group: crypto_proxies
Risk bucket: very_high
Description: Ethereum exposure through a US-listed spot Ethereum exchange-traded product. Sensitive to digital-asset flows, network activity, regulation, liquidity, and risk appetite.
Source Options YAML options.yaml
options:
  - id: CASH
    name: Cash / Do Not Invest
    symbol: null
    tiingo_symbol: null
    asset_class: cash
    category: cash
    option_group: cash
    risk_bucket: cash
    currency: USD
    is_cash: true
    include_in_universe: true
    exposure_description: "Cash position with no market exposure. Return is treated as 0 unless a round explicitly defines a cash yield proxy."

  - id: SHORT_TREASURY
    name: Short-Term Treasury Bills
    symbol: BIL
    tiingo_symbol: BIL
    asset_class: cash_like
    category: treasury_bills
    option_group: cash_and_short_duration
    risk_bucket: low
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "Short-term US Treasury bill exposure. Typically used as a cash-like proxy with low duration risk."

  - id: SP500
    name: S&P 500
    symbol: SPY
    tiingo_symbol: SPY
    asset_class: equity
    category: broad_us_equity
    option_group: us_broad_market
    risk_bucket: medium
    currency: USD
    is_cash: false
    is_benchmark: true
    include_in_universe: true
    exposure_description: "Broad US large-cap equity exposure. Represents large publicly traded US companies across multiple sectors."

  - id: TOTAL_US_MARKET
    name: Total US Stock Market
    symbol: VTI
    tiingo_symbol: VTI
    asset_class: equity
    category: broad_us_equity
    option_group: us_broad_market
    risk_bucket: medium
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "Broad exposure to the total US equity market, including large-, mid-, and small-cap companies. Useful as a diversified US equity proxy."

  - id: NASDAQ100
    name: Nasdaq 100
    symbol: QQQ
    tiingo_symbol: QQQ
    asset_class: equity
    category: growth_equity
    option_group: us_growth_and_technology
    risk_bucket: high
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "Large-cap, growth-oriented US equity exposure with heavy weights in technology and communication services. Sensitive to mega-cap earnings, rates, and growth-stock sentiment."

  - id: LARGE_GROWTH
    name: US Large-Cap Growth
    symbol: IWF
    tiingo_symbol: IWF
    asset_class: equity
    category: style_factor
    option_group: us_style_factor
    risk_bucket: high
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "US large-cap growth stock exposure. Often tilted toward companies with higher expected growth, higher valuations, and greater sensitivity to interest rates."

  - id: LARGE_VALUE
    name: US Large-Cap Value
    symbol: IWD
    tiingo_symbol: IWD
    asset_class: equity
    category: style_factor
    option_group: us_style_factor
    risk_bucket: medium
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "US large-cap value stock exposure. Often tilted toward companies with lower valuation multiples, dividends, financials, energy, and cyclical sectors."

  - id: MID_CAP
    name: US Mid-Cap Stocks
    symbol: IJH
    tiingo_symbol: IJH
    asset_class: equity
    category: size_factor
    option_group: us_size_factor
    risk_bucket: high
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "US mid-cap equity exposure. Represents companies between large caps and small caps, with sensitivity to domestic growth, financing conditions, and risk appetite."

  - id: SMALL_CAP
    name: US Small-Cap Stocks
    symbol: IWM
    tiingo_symbol: IWM
    asset_class: equity
    category: size_factor
    option_group: us_size_factor
    risk_bucket: high
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "US small-cap equity exposure. Often more sensitive to domestic economic growth, credit conditions, rates, and market risk appetite."

  - id: SMALL_VALUE
    name: US Small-Cap Value
    symbol: IWN
    tiingo_symbol: IWN
    asset_class: equity
    category: style_and_size_factor
    option_group: us_style_factor
    risk_bucket: high
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "US small-cap value equity exposure. Combines smaller company exposure with value-oriented characteristics."

  - id: DIVIDEND
    name: US Dividend Equities
    symbol: SCHD
    tiingo_symbol: SCHD
    asset_class: equity
    category: dividend_equity
    option_group: us_factor_equity
    risk_bucket: medium
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "US dividend-oriented equity exposure. Often tilted toward profitable, mature companies with dividend histories."

  - id: LOW_VOL
    name: US Low Volatility Equities
    symbol: SPLV
    tiingo_symbol: SPLV
    asset_class: equity
    category: low_volatility_factor
    option_group: us_factor_equity
    risk_bucket: medium
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "US equity exposure focused on historically lower-volatility stocks. Often used as a defensive equity factor proxy."

  - id: MOMENTUM
    name: US Momentum Equities
    symbol: MTUM
    tiingo_symbol: MTUM
    asset_class: equity
    category: momentum_factor
    option_group: us_factor_equity
    risk_bucket: high
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "US equity exposure tilted toward stocks with stronger recent price momentum. Sensitive to trend persistence and factor rotations."

  - id: TECHNOLOGY
    name: Technology Sector
    symbol: XLK
    tiingo_symbol: XLK
    asset_class: equity
    category: us_sector
    option_group: us_sector
    risk_bucket: high
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "US technology sector exposure within large-cap equities. Includes software, hardware, semiconductors, and technology services companies."

  - id: COMMUNICATIONS
    name: Communication Services Sector
    symbol: XLC
    tiingo_symbol: XLC
    asset_class: equity
    category: us_sector
    option_group: us_sector
    risk_bucket: high
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "US communication services sector exposure. Includes large internet platforms, media, telecom, and entertainment companies."

  - id: CONSUMER_DISCRETIONARY
    name: Consumer Discretionary Sector
    symbol: XLY
    tiingo_symbol: XLY
    asset_class: equity
    category: us_sector
    option_group: us_sector
    risk_bucket: high
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "US consumer discretionary sector exposure. Sensitive to consumer spending, employment, credit conditions, and household confidence."

  - id: CONSUMER_STAPLES
    name: Consumer Staples Sector
    symbol: XLP
    tiingo_symbol: XLP
    asset_class: equity
    category: us_sector
    option_group: us_sector
    risk_bucket: medium
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "US consumer staples sector exposure. Includes companies selling essential consumer products and is often considered a defensive equity sector."

  - id: HEALTHCARE
    name: Healthcare Sector
    symbol: XLV
    tiingo_symbol: XLV
    asset_class: equity
    category: us_sector
    option_group: us_sector
    risk_bucket: medium
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "US healthcare sector exposure. Includes pharmaceuticals, biotechnology, medical devices, healthcare services, and insurers."

  - id: FINANCIALS
    name: Financials Sector
    symbol: XLF
    tiingo_symbol: XLF
    asset_class: equity
    category: us_sector
    option_group: us_sector
    risk_bucket: high
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "US financial sector exposure. Includes banks, insurers, capital markets firms, and financial services companies."

  - id: INDUSTRIALS
    name: Industrials Sector
    symbol: XLI
    tiingo_symbol: XLI
    asset_class: equity
    category: us_sector
    option_group: us_sector
    risk_bucket: medium
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "US industrial sector exposure. Includes aerospace, machinery, transportation, logistics, and industrial services companies."

  - id: ENERGY
    name: Energy Sector
    symbol: XLE
    tiingo_symbol: XLE
    asset_class: equity
    category: us_sector
    option_group: us_sector
    risk_bucket: high
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "US energy sector exposure. Sensitive to oil and gas prices, production trends, geopolitics, and capital discipline."

  - id: MATERIALS
    name: Materials Sector
    symbol: XLB
    tiingo_symbol: XLB
    asset_class: equity
    category: us_sector
    option_group: us_sector
    risk_bucket: medium
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "US materials sector exposure. Includes chemicals, metals, mining, packaging, and construction materials companies."

  - id: UTILITIES
    name: Utilities Sector
    symbol: XLU
    tiingo_symbol: XLU
    asset_class: equity
    category: us_sector
    option_group: us_sector
    risk_bucket: medium
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "US utilities sector exposure. Often sensitive to interest rates, electricity demand, regulation, and defensive equity flows."

  - id: REAL_ESTATE
    name: Real Estate Sector
    symbol: XLRE
    tiingo_symbol: XLRE
    asset_class: equity
    category: us_sector
    option_group: us_sector
    risk_bucket: high
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "US listed real estate equity exposure. Sensitive to interest rates, property fundamentals, credit conditions, and real estate valuations."

  - id: INTERMEDIATE_TREASURY
    name: Intermediate-Term US Treasury Bonds
    symbol: IEF
    tiingo_symbol: IEF
    asset_class: bond
    category: treasury_duration
    option_group: bonds_and_rates
    risk_bucket: medium
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "Intermediate-duration US Treasury bond exposure. Sensitive to changes in interest rates, inflation expectations, and growth expectations."

  - id: LONG_TREASURY
    name: Long-Term US Treasury Bonds
    symbol: TLT
    tiingo_symbol: TLT
    asset_class: bond
    category: treasury_duration
    option_group: bonds_and_rates
    risk_bucket: high
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "Long-duration US Treasury bond exposure. More sensitive to interest-rate changes than shorter-duration bond funds."

  - id: TIPS
    name: Treasury Inflation-Protected Securities
    symbol: TIP
    tiingo_symbol: TIP
    asset_class: bond
    category: inflation_linked_bonds
    option_group: bonds_and_rates
    risk_bucket: medium
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "US Treasury inflation-protected bond exposure. Sensitive to real interest rates and inflation expectations."

  - id: INVESTMENT_GRADE_CREDIT
    name: Investment Grade Corporate Bonds
    symbol: LQD
    tiingo_symbol: LQD
    asset_class: bond
    category: corporate_credit
    option_group: credit
    risk_bucket: medium
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "US investment-grade corporate bond exposure. Sensitive to interest rates, credit spreads, and corporate balance-sheet conditions."

  - id: HIGH_YIELD_CREDIT
    name: High Yield Corporate Bonds
    symbol: HYG
    tiingo_symbol: HYG
    asset_class: bond
    category: corporate_credit
    option_group: credit
    risk_bucket: high
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "US high-yield corporate bond exposure. Sensitive to credit spreads, default expectations, liquidity, and risk appetite."

  - id: AGGREGATE_BONDS
    name: US Aggregate Bond Market
    symbol: AGG
    tiingo_symbol: AGG
    asset_class: bond
    category: aggregate_bonds
    option_group: bonds_and_rates
    risk_bucket: medium
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "Broad US investment-grade bond market exposure. Includes Treasuries, agency securities, mortgage-backed securities, and corporate bonds."

  - id: DEVELOPED_EX_US
    name: Developed Markets ex-US
    symbol: VEA
    tiingo_symbol: VEA
    asset_class: equity
    category: international_equity
    option_group: international_equity
    risk_bucket: high
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "Developed-market equity exposure outside the United States. Includes regions such as Europe, Japan, Canada, and developed Asia-Pacific markets."

  - id: EMERGING_MARKETS
    name: Emerging Markets
    symbol: VWO
    tiingo_symbol: VWO
    asset_class: equity
    category: international_equity
    option_group: international_equity
    risk_bucket: very_high
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "Emerging-market equity exposure. Sensitive to global growth, currency moves, capital flows, commodity cycles, and country-specific policy risk."

  - id: EUROPE
    name: Europe Equities
    symbol: VGK
    tiingo_symbol: VGK
    asset_class: equity
    category: regional_equity
    option_group: international_equity
    risk_bucket: high
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "European equity exposure. Sensitive to European growth, monetary policy, currency trends, energy costs, and regional earnings."

  - id: JAPAN
    name: Japan Equities
    symbol: EWJ
    tiingo_symbol: EWJ
    asset_class: equity
    category: regional_equity
    option_group: international_equity
    risk_bucket: high
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "Japanese equity exposure. Sensitive to Japanese corporate earnings, yen movements, monetary policy, and global trade conditions."

  - id: CHINA
    name: China Equities
    symbol: MCHI
    tiingo_symbol: MCHI
    asset_class: equity
    category: regional_equity
    option_group: international_equity
    risk_bucket: very_high
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "China equity exposure through publicly traded Chinese companies. Sensitive to Chinese growth, policy actions, currency moves, and geopolitical risk."

  - id: INDIA
    name: India Equities
    symbol: INDA
    tiingo_symbol: INDA
    asset_class: equity
    category: regional_equity
    option_group: international_equity
    risk_bucket: very_high
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "Indian equity exposure. Sensitive to Indian economic growth, currency moves, domestic policy, valuations, and foreign capital flows."

  - id: GOLD
    name: Gold
    symbol: IAU
    tiingo_symbol: IAU
    asset_class: commodity
    category: precious_metals
    option_group: commodities
    risk_bucket: medium
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "Gold exposure through a listed gold trust. Sensitive to real interest rates, US dollar strength, inflation expectations, and safe-haven demand."

  - id: BROAD_COMMODITIES
    name: Broad Commodities
    symbol: PDBC
    tiingo_symbol: PDBC
    asset_class: commodity
    category: broad_commodities
    option_group: commodities
    risk_bucket: high
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "Broad commodity exposure through a diversified commodity strategy ETF. Sensitive to energy, metals, agriculture, inflation expectations, and global demand."

  - id: SEMICONDUCTORS
    name: Semiconductors
    symbol: SMH
    tiingo_symbol: SMH
    asset_class: equity
    category: thematic_equity
    option_group: ai_and_technology
    risk_bucket: very_high
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "Semiconductor equity exposure. Includes companies involved in chip design, manufacturing, equipment, and related supply chains."

  - id: SOFTWARE
    name: Software
    symbol: IGV
    tiingo_symbol: IGV
    asset_class: equity
    category: thematic_equity
    option_group: ai_and_technology
    risk_bucket: high
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "Software equity exposure. Includes companies in application software, infrastructure software, and related technology services."

  - id: BROAD_AI_TECH
    name: Broad AI Technology
    symbol: AIQ
    tiingo_symbol: AIQ
    asset_class: equity
    category: thematic_equity
    option_group: ai_and_technology
    risk_bucket: very_high
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "Broad artificial intelligence and technology equity exposure. Includes companies associated with AI applications, infrastructure, data, and related technology services."

  - id: AUTONOMOUS_ROBOTICS
    name: Autonomous Technology and Robotics
    symbol: ARKQ
    tiingo_symbol: ARKQ
    asset_class: equity
    category: thematic_equity
    option_group: ai_and_technology
    risk_bucket: very_high
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "Autonomous technology and robotics equity exposure. Includes companies associated with automation, robotics, autonomous transport, energy storage, and related technology platforms."

  - id: CYBERSECURITY
    name: Cybersecurity
    symbol: CIBR
    tiingo_symbol: CIBR
    asset_class: equity
    category: thematic_equity
    option_group: ai_and_technology
    risk_bucket: high
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "Cybersecurity equity exposure. Includes companies providing network security, identity, endpoint, cloud security, and related cybersecurity products and services."

  - id: SOLAR
    name: Solar Energy
    symbol: TAN
    tiingo_symbol: TAN
    asset_class: equity
    category: thematic_equity
    option_group: clean_energy
    risk_bucket: very_high
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "Solar energy equity exposure. Includes companies associated with solar power equipment, development, installation, and related clean-energy supply chains."

  - id: METALS_MINING
    name: Metals and Mining
    symbol: XME
    tiingo_symbol: XME
    asset_class: equity
    category: commodity_equity
    option_group: commodities
    risk_bucket: very_high
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "Metals and mining equity exposure. Includes companies involved in steel, aluminum, precious metals, coal, copper, and diversified mining industries."

  - id: EQUAL_WEIGHT_SP500
    name: Equal-Weight S&P 500
    symbol: RSP
    tiingo_symbol: RSP
    asset_class: equity
    category: broad_us_equity
    option_group: us_broad_market
    risk_bucket: medium
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "Equal-weight US large-cap equity exposure. Reduces concentration in the largest S&P 500 constituents compared with market-cap weighting."

  - id: BIOTECH
    name: Biotechnology
    symbol: XBI
    tiingo_symbol: XBI
    asset_class: equity
    category: industry_equity
    option_group: healthcare_and_biotech
    risk_bucket: very_high
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "US biotechnology equity exposure. Sensitive to clinical data, financing conditions, regulation, mergers, and risk appetite."

  - id: REGIONAL_BANKS
    name: Regional Banks
    symbol: KRE
    tiingo_symbol: KRE
    asset_class: equity
    category: industry_equity
    option_group: us_industry
    risk_bucket: very_high
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "US regional bank equity exposure. Sensitive to deposit trends, credit quality, yield curves, regulation, and commercial real estate conditions."

  - id: AEROSPACE_DEFENSE
    name: Aerospace and Defense
    symbol: ITA
    tiingo_symbol: ITA
    asset_class: equity
    category: industry_equity
    option_group: us_industry
    risk_bucket: high
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "US aerospace and defense equity exposure. Sensitive to defense budgets, aircraft demand, supply chains, and geopolitical risk."

  - id: CANADA
    name: Canada Equities
    symbol: EWC
    tiingo_symbol: EWC
    asset_class: equity
    category: country_equity
    option_group: country_equity
    risk_bucket: high
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "Canadian equity exposure through US-listed shares. Sensitive to financials, energy, materials, domestic growth, and Canadian dollar conditions."

  - id: UNITED_KINGDOM
    name: United Kingdom Equities
    symbol: EWU
    tiingo_symbol: EWU
    asset_class: equity
    category: country_equity
    option_group: country_equity
    risk_bucket: high
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "United Kingdom equity exposure through US-listed shares. Sensitive to sterling, UK growth, global financials, energy, and dividend-oriented sectors."

  - id: AUSTRALIA
    name: Australia Equities
    symbol: EWA
    tiingo_symbol: EWA
    asset_class: equity
    category: country_equity
    option_group: country_equity
    risk_bucket: high
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "Australian equity exposure through US-listed shares. Sensitive to banks, materials, commodity demand, China-linked growth, and Australian dollar conditions."

  - id: SOUTH_KOREA
    name: South Korea Equities
    symbol: EWY
    tiingo_symbol: EWY
    asset_class: equity
    category: country_equity
    option_group: country_equity
    risk_bucket: very_high
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "South Korean equity exposure through US-listed shares. Sensitive to semiconductors, exports, won movements, global trade, and regional geopolitics."

  - id: TAIWAN
    name: Taiwan Equities
    symbol: EWT
    tiingo_symbol: EWT
    asset_class: equity
    category: country_equity
    option_group: country_equity
    risk_bucket: very_high
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "Taiwan equity exposure through US-listed shares. Sensitive to semiconductor supply chains, global electronics demand, currency movements, and geopolitical risk."

  - id: BRAZIL
    name: Brazil Equities
    symbol: EWZ
    tiingo_symbol: EWZ
    asset_class: equity
    category: country_equity
    option_group: country_equity
    risk_bucket: very_high
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "Brazilian equity exposure through US-listed shares. Sensitive to commodities, rates, fiscal policy, currency moves, and emerging-market capital flows."

  - id: MEXICO
    name: Mexico Equities
    symbol: EWW
    tiingo_symbol: EWW
    asset_class: equity
    category: country_equity
    option_group: country_equity
    risk_bucket: high
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "Mexican equity exposure through US-listed shares. Sensitive to domestic growth, currency moves, trade links, remittances, and nearshoring activity."

  - id: SOUTH_AFRICA
    name: South Africa Equities
    symbol: EZA
    tiingo_symbol: EZA
    asset_class: equity
    category: country_equity
    option_group: country_equity
    risk_bucket: very_high
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "South African equity exposure through US-listed shares. Sensitive to resources, domestic policy, currency moves, power availability, and emerging-market flows."

  - id: MORTGAGE_BACKED_BONDS
    name: Agency Mortgage-Backed Bonds
    symbol: MBB
    tiingo_symbol: MBB
    asset_class: bond
    category: securitized_bonds
    option_group: bonds_and_rates
    risk_bucket: medium
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "US agency mortgage-backed securities exposure. Sensitive to interest rates, prepayment behavior, mortgage spreads, and housing finance conditions."

  - id: MUNICIPAL_BONDS
    name: Municipal Bonds
    symbol: MUB
    tiingo_symbol: MUB
    asset_class: bond
    category: municipal_bonds
    option_group: bonds_and_rates
    risk_bucket: low
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "US municipal bond exposure. Sensitive to rates, state and local credit conditions, fund flows, and tax-exempt fixed-income demand."

  - id: EMERGING_MARKET_BONDS
    name: Emerging Market USD Bonds
    symbol: EMB
    tiingo_symbol: EMB
    asset_class: bond
    category: emerging_market_debt
    option_group: credit
    risk_bucket: high
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "US dollar emerging-market bond exposure. Sensitive to sovereign spreads, US rates, currency stress, commodity cycles, and global risk appetite."

  - id: INTERNATIONAL_BONDS
    name: International Aggregate Bonds
    symbol: BNDX
    tiingo_symbol: BNDX
    asset_class: bond
    category: international_bonds
    option_group: bonds_and_rates
    risk_bucket: medium
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "International investment-grade bond exposure. Sensitive to global rates, currency hedging, regional credit conditions, and non-US monetary policy."

  - id: SILVER
    name: Silver
    symbol: SLV
    tiingo_symbol: SLV
    asset_class: commodity
    category: precious_metals
    option_group: commodities
    risk_bucket: high
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "Silver exposure through a listed trust. Sensitive to precious-metals demand, industrial usage, real rates, US dollar moves, and inflation expectations."

  - id: COPPER
    name: Copper
    symbol: CPER
    tiingo_symbol: CPER
    asset_class: commodity
    category: industrial_metals
    option_group: commodities
    risk_bucket: high
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "Copper exposure through an exchange-traded product. Sensitive to industrial demand, China-linked growth, supply conditions, inventories, and electrification themes."

  - id: AGRICULTURE
    name: Agriculture Commodities
    symbol: DBA
    tiingo_symbol: DBA
    asset_class: commodity
    category: agriculture
    option_group: commodities
    risk_bucket: high
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "Agricultural commodity exposure through a diversified exchange-traded product. Sensitive to weather, crop conditions, global demand, inventories, and currency moves."

  - id: OIL
    name: Crude Oil
    symbol: USO
    tiingo_symbol: USO
    asset_class: commodity
    category: energy_commodities
    option_group: commodities
    risk_bucket: very_high
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "Crude oil exposure through an exchange-traded product. Sensitive to supply, demand, inventories, OPEC policy, geopolitical risk, and futures-curve structure."

  - id: US_DOLLAR
    name: US Dollar
    symbol: UUP
    tiingo_symbol: UUP
    asset_class: currency
    category: currency
    option_group: currencies
    risk_bucket: medium
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "US dollar currency exposure through an exchange-traded product. Sensitive to relative rates, global risk appetite, trade balances, and reserve-currency demand."

  - id: EURO
    name: Euro
    symbol: FXE
    tiingo_symbol: FXE
    asset_class: currency
    category: currency
    option_group: currencies
    risk_bucket: medium
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "Euro currency exposure through an exchange-traded product. Sensitive to European rates, growth, fiscal policy, energy conditions, and US dollar movements."

  - id: YEN
    name: Japanese Yen
    symbol: FXY
    tiingo_symbol: FXY
    asset_class: currency
    category: currency
    option_group: currencies
    risk_bucket: high
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "Japanese yen currency exposure through an exchange-traded product. Sensitive to Japanese monetary policy, rate differentials, carry trades, and safe-haven demand."

  - id: BITCOIN_ETF
    name: Bitcoin ETF
    symbol: IBIT
    tiingo_symbol: IBIT
    asset_class: crypto_proxy
    category: crypto_asset
    option_group: crypto_proxies
    risk_bucket: very_high
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "Bitcoin exposure through a US-listed spot bitcoin exchange-traded product. Sensitive to digital-asset flows, regulation, liquidity, rates, and risk appetite."

  - id: ETHEREUM_ETF
    name: Ethereum ETF
    symbol: ETHA
    tiingo_symbol: ETHA
    asset_class: crypto_proxy
    category: crypto_asset
    option_group: crypto_proxies
    risk_bucket: very_high
    currency: USD
    is_cash: false
    include_in_universe: true
    exposure_description: "Ethereum exposure through a US-listed spot Ethereum exchange-traded product. Sensitive to digital-asset flows, network activity, regulation, liquidity, and risk appetite."
Round Hashes hashes.json
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  "algorithm": "sha256",
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    "briefing.md": "4edaec8125fd868a585c3e4ab4b55a21329c158c817874b629b01f774a82ef11",
    "manifest.yaml": "1bf4903ebbfc903f6b6f4938223192c43b4d98452a4fe3e7ef052e3fed41dfb3",
    "market_data/decision_context_source_history.json": "8ba17119637e40cc61b9dc91c34529a335c5fa883c9556fda92c3f52982f49da",
    "market_data/universe_decision_context.csv": "32a1b37ad2499d48219b6afb644998c4412831feb9c8d63ba8e10b6da23af781",
    "market_data/universe_decision_context.json": "5783dbec7eaa63435c1039eb078038112f23af136110fd7c159fbd1650e62d29",
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    "market_data/universe_quality_evidence.md": "5e67a40cc97cee7c4dc1b88b7ba92f27a41439c8c59b4d58993cdfd64f291b5e",
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}
Per-Model Prompt Suffixes 8 model calls
Claude Fable 5
For this specific call, return only JSON using exactly these identifiers:
- round_id: CB-2026-08-18-1W
- model_id: anthropic-claude-fable-5
- provider: anthropic
- mode: closed_capability
- allowed portfolio option_id values: CASH, SHORT_TREASURY, SP500, TOTAL_US_MARKET, NASDAQ100, LARGE_GROWTH, LARGE_VALUE, MID_CAP, SMALL_CAP, SMALL_VALUE, DIVIDEND, LOW_VOL, MOMENTUM, TECHNOLOGY, COMMUNICATIONS, CONSUMER_DISCRETIONARY, CONSUMER_STAPLES, HEALTHCARE, FINANCIALS, INDUSTRIALS, ENERGY, MATERIALS, UTILITIES, REAL_ESTATE, INTERMEDIATE_TREASURY, LONG_TREASURY, TIPS, INVESTMENT_GRADE_CREDIT, HIGH_YIELD_CREDIT, AGGREGATE_BONDS, DEVELOPED_EX_US, EMERGING_MARKETS, EUROPE, JAPAN, CHINA, INDIA, GOLD, BROAD_COMMODITIES, SEMICONDUCTORS, SOFTWARE, BROAD_AI_TECH, AUTONOMOUS_ROBOTICS, CYBERSECURITY, SOLAR, METALS_MINING, EQUAL_WEIGHT_SP500, BIOTECH, REGIONAL_BANKS, AEROSPACE_DEFENSE, CANADA, UNITED_KINGDOM, AUSTRALIA, SOUTH_KOREA, TAIWAN, BRAZIL, MEXICO, SOUTH_AFRICA, MORTGAGE_BACKED_BONDS, MUNICIPAL_BONDS, EMERGING_MARKET_BONDS, INTERNATIONAL_BONDS, SILVER, COPPER, AGRICULTURE, OIL, US_DOLLAR, EURO, YEN, BITCOIN_ETF, ETHEREUM_ETF
Claude Opus 4.8
For this specific call, return only JSON using exactly these identifiers:
- round_id: CB-2026-08-18-1W
- model_id: anthropic-claude-opus-4-8
- provider: anthropic
- mode: closed_capability
- allowed portfolio option_id values: CASH, SHORT_TREASURY, SP500, TOTAL_US_MARKET, NASDAQ100, LARGE_GROWTH, LARGE_VALUE, MID_CAP, SMALL_CAP, SMALL_VALUE, DIVIDEND, LOW_VOL, MOMENTUM, TECHNOLOGY, COMMUNICATIONS, CONSUMER_DISCRETIONARY, CONSUMER_STAPLES, HEALTHCARE, FINANCIALS, INDUSTRIALS, ENERGY, MATERIALS, UTILITIES, REAL_ESTATE, INTERMEDIATE_TREASURY, LONG_TREASURY, TIPS, INVESTMENT_GRADE_CREDIT, HIGH_YIELD_CREDIT, AGGREGATE_BONDS, DEVELOPED_EX_US, EMERGING_MARKETS, EUROPE, JAPAN, CHINA, INDIA, GOLD, BROAD_COMMODITIES, SEMICONDUCTORS, SOFTWARE, BROAD_AI_TECH, AUTONOMOUS_ROBOTICS, CYBERSECURITY, SOLAR, METALS_MINING, EQUAL_WEIGHT_SP500, BIOTECH, REGIONAL_BANKS, AEROSPACE_DEFENSE, CANADA, UNITED_KINGDOM, AUSTRALIA, SOUTH_KOREA, TAIWAN, BRAZIL, MEXICO, SOUTH_AFRICA, MORTGAGE_BACKED_BONDS, MUNICIPAL_BONDS, EMERGING_MARKET_BONDS, INTERNATIONAL_BONDS, SILVER, COPPER, AGRICULTURE, OIL, US_DOLLAR, EURO, YEN, BITCOIN_ETF, ETHEREUM_ETF
Claude Opus 5
For this specific call, return only JSON using exactly these identifiers:
- round_id: CB-2026-08-18-1W
- model_id: anthropic-claude-opus-5
- provider: anthropic
- mode: closed_capability
- allowed portfolio option_id values: CASH, SHORT_TREASURY, SP500, TOTAL_US_MARKET, NASDAQ100, LARGE_GROWTH, LARGE_VALUE, MID_CAP, SMALL_CAP, SMALL_VALUE, DIVIDEND, LOW_VOL, MOMENTUM, TECHNOLOGY, COMMUNICATIONS, CONSUMER_DISCRETIONARY, CONSUMER_STAPLES, HEALTHCARE, FINANCIALS, INDUSTRIALS, ENERGY, MATERIALS, UTILITIES, REAL_ESTATE, INTERMEDIATE_TREASURY, LONG_TREASURY, TIPS, INVESTMENT_GRADE_CREDIT, HIGH_YIELD_CREDIT, AGGREGATE_BONDS, DEVELOPED_EX_US, EMERGING_MARKETS, EUROPE, JAPAN, CHINA, INDIA, GOLD, BROAD_COMMODITIES, SEMICONDUCTORS, SOFTWARE, BROAD_AI_TECH, AUTONOMOUS_ROBOTICS, CYBERSECURITY, SOLAR, METALS_MINING, EQUAL_WEIGHT_SP500, BIOTECH, REGIONAL_BANKS, AEROSPACE_DEFENSE, CANADA, UNITED_KINGDOM, AUSTRALIA, SOUTH_KOREA, TAIWAN, BRAZIL, MEXICO, SOUTH_AFRICA, MORTGAGE_BACKED_BONDS, MUNICIPAL_BONDS, EMERGING_MARKET_BONDS, INTERNATIONAL_BONDS, SILVER, COPPER, AGRICULTURE, OIL, US_DOLLAR, EURO, YEN, BITCOIN_ETF, ETHEREUM_ETF
Gemini 3.1 Pro
For this specific call, return only JSON using exactly these identifiers:
- round_id: CB-2026-08-18-1W
- model_id: google-gemini-3-1-pro
- provider: google
- mode: closed_capability
- allowed portfolio option_id values: CASH, SHORT_TREASURY, SP500, TOTAL_US_MARKET, NASDAQ100, LARGE_GROWTH, LARGE_VALUE, MID_CAP, SMALL_CAP, SMALL_VALUE, DIVIDEND, LOW_VOL, MOMENTUM, TECHNOLOGY, COMMUNICATIONS, CONSUMER_DISCRETIONARY, CONSUMER_STAPLES, HEALTHCARE, FINANCIALS, INDUSTRIALS, ENERGY, MATERIALS, UTILITIES, REAL_ESTATE, INTERMEDIATE_TREASURY, LONG_TREASURY, TIPS, INVESTMENT_GRADE_CREDIT, HIGH_YIELD_CREDIT, AGGREGATE_BONDS, DEVELOPED_EX_US, EMERGING_MARKETS, EUROPE, JAPAN, CHINA, INDIA, GOLD, BROAD_COMMODITIES, SEMICONDUCTORS, SOFTWARE, BROAD_AI_TECH, AUTONOMOUS_ROBOTICS, CYBERSECURITY, SOLAR, METALS_MINING, EQUAL_WEIGHT_SP500, BIOTECH, REGIONAL_BANKS, AEROSPACE_DEFENSE, CANADA, UNITED_KINGDOM, AUSTRALIA, SOUTH_KOREA, TAIWAN, BRAZIL, MEXICO, SOUTH_AFRICA, MORTGAGE_BACKED_BONDS, MUNICIPAL_BONDS, EMERGING_MARKET_BONDS, INTERNATIONAL_BONDS, SILVER, COPPER, AGRICULTURE, OIL, US_DOLLAR, EURO, YEN, BITCOIN_ETF, ETHEREUM_ETF
GPT-5.6 Sol
For this specific call, return only JSON using exactly these identifiers:
- round_id: CB-2026-08-18-1W
- model_id: openai-gpt-5-6-sol
- provider: openai
- mode: closed_capability
- allowed portfolio option_id values: CASH, SHORT_TREASURY, SP500, TOTAL_US_MARKET, NASDAQ100, LARGE_GROWTH, LARGE_VALUE, MID_CAP, SMALL_CAP, SMALL_VALUE, DIVIDEND, LOW_VOL, MOMENTUM, TECHNOLOGY, COMMUNICATIONS, CONSUMER_DISCRETIONARY, CONSUMER_STAPLES, HEALTHCARE, FINANCIALS, INDUSTRIALS, ENERGY, MATERIALS, UTILITIES, REAL_ESTATE, INTERMEDIATE_TREASURY, LONG_TREASURY, TIPS, INVESTMENT_GRADE_CREDIT, HIGH_YIELD_CREDIT, AGGREGATE_BONDS, DEVELOPED_EX_US, EMERGING_MARKETS, EUROPE, JAPAN, CHINA, INDIA, GOLD, BROAD_COMMODITIES, SEMICONDUCTORS, SOFTWARE, BROAD_AI_TECH, AUTONOMOUS_ROBOTICS, CYBERSECURITY, SOLAR, METALS_MINING, EQUAL_WEIGHT_SP500, BIOTECH, REGIONAL_BANKS, AEROSPACE_DEFENSE, CANADA, UNITED_KINGDOM, AUSTRALIA, SOUTH_KOREA, TAIWAN, BRAZIL, MEXICO, SOUTH_AFRICA, MORTGAGE_BACKED_BONDS, MUNICIPAL_BONDS, EMERGING_MARKET_BONDS, INTERNATIONAL_BONDS, SILVER, COPPER, AGRICULTURE, OIL, US_DOLLAR, EURO, YEN, BITCOIN_ETF, ETHEREUM_ETF
Grok 4.3
For this specific call, return only JSON using exactly these identifiers:
- round_id: CB-2026-08-18-1W
- model_id: xai-grok-4-3
- provider: xai
- mode: closed_capability
- allowed portfolio option_id values: CASH, SHORT_TREASURY, SP500, TOTAL_US_MARKET, NASDAQ100, LARGE_GROWTH, LARGE_VALUE, MID_CAP, SMALL_CAP, SMALL_VALUE, DIVIDEND, LOW_VOL, MOMENTUM, TECHNOLOGY, COMMUNICATIONS, CONSUMER_DISCRETIONARY, CONSUMER_STAPLES, HEALTHCARE, FINANCIALS, INDUSTRIALS, ENERGY, MATERIALS, UTILITIES, REAL_ESTATE, INTERMEDIATE_TREASURY, LONG_TREASURY, TIPS, INVESTMENT_GRADE_CREDIT, HIGH_YIELD_CREDIT, AGGREGATE_BONDS, DEVELOPED_EX_US, EMERGING_MARKETS, EUROPE, JAPAN, CHINA, INDIA, GOLD, BROAD_COMMODITIES, SEMICONDUCTORS, SOFTWARE, BROAD_AI_TECH, AUTONOMOUS_ROBOTICS, CYBERSECURITY, SOLAR, METALS_MINING, EQUAL_WEIGHT_SP500, BIOTECH, REGIONAL_BANKS, AEROSPACE_DEFENSE, CANADA, UNITED_KINGDOM, AUSTRALIA, SOUTH_KOREA, TAIWAN, BRAZIL, MEXICO, SOUTH_AFRICA, MORTGAGE_BACKED_BONDS, MUNICIPAL_BONDS, EMERGING_MARKET_BONDS, INTERNATIONAL_BONDS, SILVER, COPPER, AGRICULTURE, OIL, US_DOLLAR, EURO, YEN, BITCOIN_ETF, ETHEREUM_ETF
Grok 4.5
For this specific call, return only JSON using exactly these identifiers:
- round_id: CB-2026-08-18-1W
- model_id: xai-grok-4-5
- provider: xai
- mode: closed_capability
- allowed portfolio option_id values: CASH, SHORT_TREASURY, SP500, TOTAL_US_MARKET, NASDAQ100, LARGE_GROWTH, LARGE_VALUE, MID_CAP, SMALL_CAP, SMALL_VALUE, DIVIDEND, LOW_VOL, MOMENTUM, TECHNOLOGY, COMMUNICATIONS, CONSUMER_DISCRETIONARY, CONSUMER_STAPLES, HEALTHCARE, FINANCIALS, INDUSTRIALS, ENERGY, MATERIALS, UTILITIES, REAL_ESTATE, INTERMEDIATE_TREASURY, LONG_TREASURY, TIPS, INVESTMENT_GRADE_CREDIT, HIGH_YIELD_CREDIT, AGGREGATE_BONDS, DEVELOPED_EX_US, EMERGING_MARKETS, EUROPE, JAPAN, CHINA, INDIA, GOLD, BROAD_COMMODITIES, SEMICONDUCTORS, SOFTWARE, BROAD_AI_TECH, AUTONOMOUS_ROBOTICS, CYBERSECURITY, SOLAR, METALS_MINING, EQUAL_WEIGHT_SP500, BIOTECH, REGIONAL_BANKS, AEROSPACE_DEFENSE, CANADA, UNITED_KINGDOM, AUSTRALIA, SOUTH_KOREA, TAIWAN, BRAZIL, MEXICO, SOUTH_AFRICA, MORTGAGE_BACKED_BONDS, MUNICIPAL_BONDS, EMERGING_MARKET_BONDS, INTERNATIONAL_BONDS, SILVER, COPPER, AGRICULTURE, OIL, US_DOLLAR, EURO, YEN, BITCOIN_ETF, ETHEREUM_ETF
Grok 4.6
For this specific call, return only JSON using exactly these identifiers:
- round_id: CB-2026-08-18-1W
- model_id: xai-grok-4-6
- provider: xai
- mode: closed_capability
- allowed portfolio option_id values: CASH, SHORT_TREASURY, SP500, TOTAL_US_MARKET, NASDAQ100, LARGE_GROWTH, LARGE_VALUE, MID_CAP, SMALL_CAP, SMALL_VALUE, DIVIDEND, LOW_VOL, MOMENTUM, TECHNOLOGY, COMMUNICATIONS, CONSUMER_DISCRETIONARY, CONSUMER_STAPLES, HEALTHCARE, FINANCIALS, INDUSTRIALS, ENERGY, MATERIALS, UTILITIES, REAL_ESTATE, INTERMEDIATE_TREASURY, LONG_TREASURY, TIPS, INVESTMENT_GRADE_CREDIT, HIGH_YIELD_CREDIT, AGGREGATE_BONDS, DEVELOPED_EX_US, EMERGING_MARKETS, EUROPE, JAPAN, CHINA, INDIA, GOLD, BROAD_COMMODITIES, SEMICONDUCTORS, SOFTWARE, BROAD_AI_TECH, AUTONOMOUS_ROBOTICS, CYBERSECURITY, SOLAR, METALS_MINING, EQUAL_WEIGHT_SP500, BIOTECH, REGIONAL_BANKS, AEROSPACE_DEFENSE, CANADA, UNITED_KINGDOM, AUSTRALIA, SOUTH_KOREA, TAIWAN, BRAZIL, MEXICO, SOUTH_AFRICA, MORTGAGE_BACKED_BONDS, MUNICIPAL_BONDS, EMERGING_MARKET_BONDS, INTERNATIONAL_BONDS, SILVER, COPPER, AGRICULTURE, OIL, US_DOLLAR, EURO, YEN, BITCOIN_ETF, ETHEREUM_ETF
Parsed provider responses

Model Outputs

These are the validated JSON submissions used by CapitalBench. Raw provider response text remains excluded from the public site.

Anthropic

Claude Fable 5

anthropic-claude-fable-5

3 holdings Software (IGV)
Software (IGV) 35% Cybersecurity (CIBR) 35% South Africa Equities (EZA) 30%
Confidence
0.58
Run Type
official
Rationale

Favor high-quality pullback reversals: software, cybersecurity, and South Africa all combine top-decile prior relative strength with modest one-week give-backs and no briefing evidence of fundamental deterioration. Avoid chasing high-volatility short-term spikes (Korea) and weak-trend laggards (Brazil, Mexico).

SPY flat over the past week with normal cross-sectional dispersion (2.37%). Several high-quality themes (software, cybersecurity, South Africa, China) posted strong prior 16-session relative trends followed by modest one-week pullbacks with no fundamental deterioration in the briefing, favoring pullback-reversal setups over chasing high-vol short-term winners like Korea/Taiwan.

Portfolio
  • Software (IGV): 35% - V3 selected model rank 1: overreaction with 60% estimated probability of beating SPY.
  • Cybersecurity (CIBR): 35% - V3 selected model rank 2: overreaction with 58% estimated probability of beating SPY.
  • South Africa Equities (EZA): 30% - V3 selected model rank 3: overreaction with 57% estimated probability of beating SPY.
Key Risks
  • FOMC minutes (Aug 19) could reprice rates and hit high-beta tech pullback trades
  • Big-box retailer earnings (HD/TGT/WMT) may shift consumer/macro sentiment against risk assets
  • High-vol thematic ETFs (IGV, CIBR) can extend declines rather than mean-revert within one week
  • EZA exposed to gold price reversal and rand/EM currency swings
Validated JSON
{
  "confidence": 0.5833,
  "is_official_score": true,
  "key_risks": [
    "FOMC minutes (Aug 19) could reprice rates and hit high-beta tech pullback trades",
    "Big-box retailer earnings (HD/TGT/WMT) may shift consumer/macro sentiment against risk assets",
    "High-vol thematic ETFs (IGV, CIBR) can extend declines rather than mean-revert within one week",
    "EZA exposed to gold price reversal and rand/EM currency swings"
  ],
  "metadata": {
    "portfolio_v3": {
      "candidate_assessments": [
        {
          "evidence": [
            "Prior 16s active return +9.16% then -2.83% pullback",
            "Highest prior active rank 0.985 and quality score 0.772",
            "No adverse software-specific news in briefing"
          ],
          "excess_return_p10_pct": -2.8,
          "excess_return_p50_pct": 0.9,
          "excess_return_p90_pct": 4.5,
          "mechanism": "reversal",
          "option_id": "SOFTWARE",
          "origin_lanes": [
            "shock_reversal",
            "medium_strength",
            "quality_pullback"
          ],
          "p_beat_spy_pct": 60,
          "p_top3_pct": 25,
          "rank": 1,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "Prior active +5.48% then -2.75% one-week pullback",
            "Quality score 0.760, only -4.32% from 52w high"
          ],
          "excess_return_p10_pct": -2.5,
          "excess_return_p50_pct": 0.7,
          "excess_return_p90_pct": 4,
          "mechanism": "reversal",
          "option_id": "CYBERSECURITY",
          "origin_lanes": [
            "shock_reversal"
          ],
          "p_beat_spy_pct": 58,
          "p_top3_pct": 22,
          "rank": 2,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "Prior active +7.82% with mild -2.16% pullback",
            "Quality score 0.772; gold +10% over 21 sessions supports resource-heavy EZA"
          ],
          "excess_return_p10_pct": -2.6,
          "excess_return_p50_pct": 0.7,
          "excess_return_p90_pct": 4,
          "mechanism": "reversal",
          "option_id": "SOUTH_AFRICA",
          "origin_lanes": [
            "quality_pullback"
          ],
          "p_beat_spy_pct": 57,
          "p_top3_pct": 20,
          "rank": 3,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "Prior active +2.95% then -3.24% pullback, top quality score 0.777",
            "July manufacturing PMI 49.2 is a soft-data headwind"
          ],
          "excess_return_p10_pct": -2.5,
          "excess_return_p50_pct": 0.4,
          "excess_return_p90_pct": 3.2,
          "mechanism": "reversal",
          "option_id": "CHINA",
          "origin_lanes": [
            "shock_reversal",
            "quality_pullback"
          ],
          "p_beat_spy_pct": 54,
          "p_top3_pct": 15,
          "rank": 4,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "ISM Manufacturing PMI 55.6 with new orders 56.7",
            "Near 52w high (-0.10%), low volume z -1.72"
          ],
          "excess_return_p10_pct": -1.3,
          "excess_return_p50_pct": 0.1,
          "excess_return_p90_pct": 1.5,
          "mechanism": "no_edge",
          "option_id": "INDUSTRIALS",
          "origin_lanes": [
            "volume_dislocation"
          ],
          "p_beat_spy_pct": 51,
          "p_top3_pct": 8,
          "rank": 5,
          "recent_return_interpretation": "no_edge"
        },
        {
          "evidence": [
            "Strongest prior active +12.99%; gold +10.08% over 21 sessions",
            "High vol 34.4% and -43.6% from 52w high"
          ],
          "excess_return_p10_pct": -3.5,
          "excess_return_p50_pct": 0,
          "excess_return_p90_pct": 3.8,
          "mechanism": "continuation",
          "option_id": "SILVER",
          "origin_lanes": [
            "medium_strength"
          ],
          "p_beat_spy_pct": 50,
          "p_top3_pct": 14,
          "rank": 6,
          "recent_return_interpretation": "no_edge"
        },
        {
          "evidence": [
            "Prior active +8.56% with flat recent week",
            "Very high vol 43.8% raises reversal risk"
          ],
          "excess_return_p10_pct": -4,
          "excess_return_p50_pct": -0.1,
          "excess_return_p90_pct": 4,
          "mechanism": "continuation",
          "option_id": "METALS_MINING",
          "origin_lanes": [
            "medium_strength"
          ],
          "p_beat_spy_pct": 49,
          "p_top3_pct": 13,
          "rank": 7,
          "recent_return_interpretation": "no_edge"
        },
        {
          "evidence": [
            "Recent -2.58% active but prior trend also negative (-1.89%)",
            "Moderate vol 13.9%, no supportive catalyst in briefing"
          ],
          "excess_return_p10_pct": -2,
          "excess_return_p50_pct": 0,
          "excess_return_p90_pct": 2.2,
          "mechanism": "reversal",
          "option_id": "MEXICO",
          "origin_lanes": [
            "shock_reversal"
          ],
          "p_beat_spy_pct": 50,
          "p_top3_pct": 9,
          "rank": 8,
          "recent_return_interpretation": "no_edge"
        },
        {
          "evidence": [
            "+5.55% active last week after modest prior trend",
            "Vol 41% and -12% max drawdown imply fade risk"
          ],
          "excess_return_p10_pct": -4.5,
          "excess_return_p50_pct": -0.3,
          "excess_return_p90_pct": 4,
          "mechanism": "continuation",
          "option_id": "TAIWAN",
          "origin_lanes": [
            "short_continuation"
          ],
          "p_beat_spy_pct": 46,
          "p_top3_pct": 12,
          "rank": 9,
          "recent_return_interpretation": "supported_continuation"
        },
        {
          "evidence": [
            "Both prior (-4.40%) and recent (-3.42%) active returns negative",
            "Low quality score 0.454, -17.8% from 52w high"
          ],
          "excess_return_p10_pct": -3.5,
          "excess_return_p50_pct": -0.3,
          "excess_return_p90_pct": 3,
          "mechanism": "reversal",
          "option_id": "BRAZIL",
          "origin_lanes": [
            "shock_reversal"
          ],
          "p_beat_spy_pct": 46,
          "p_top3_pct": 8,
          "rank": 10,
          "recent_return_interpretation": "fundamental_deterioration"
        },
        {
          "evidence": [
            "Mildly negative recent and prior active returns",
            "Low vol 12% but no catalyst supplied"
          ],
          "excess_return_p10_pct": -2,
          "excess_return_p50_pct": -0.2,
          "excess_return_p90_pct": 1.6,
          "mechanism": "no_edge",
          "option_id": "INDIA",
          "origin_lanes": [
            "volume_dislocation"
          ],
          "p_beat_spy_pct": 45,
          "p_top3_pct": 6,
          "rank": 11,
          "recent_return_interpretation": "no_edge"
        },
        {
          "evidence": [
            "Benchmark; flat 5-session return, -0.67% from 52w high"
          ],
          "excess_return_p10_pct": 0,
          "excess_return_p50_pct": 0,
          "excess_return_p90_pct": 0,
          "mechanism": "no_edge",
          "option_id": "SP500",
          "origin_lanes": [
            "benchmark"
          ],
          "p_beat_spy_pct": 50,
          "p_top3_pct": 5,
          "rank": 12,
          "recent_return_interpretation": "no_edge"
        },
        {
          "evidence": [
            "+13.52% active in one week after negative prior trend (-3.64%)",
            "Extreme 70% vol, -17% drawdown, lowest quality score 0.149"
          ],
          "excess_return_p10_pct": -9,
          "excess_return_p50_pct": -1,
          "excess_return_p90_pct": 7,
          "mechanism": "continuation",
          "option_id": "SOUTH_KOREA",
          "origin_lanes": [
            "short_continuation"
          ],
          "p_beat_spy_pct": 42,
          "p_top3_pct": 15,
          "rank": 13,
          "recent_return_interpretation": "no_edge"
        }
      ],
      "candidate_slate_option_ids": [
        "BRAZIL",
        "CHINA",
        "SOFTWARE",
        "CYBERSECURITY",
        "MEXICO",
        "SILVER",
        "METALS_MINING",
        "SOUTH_KOREA",
        "TAIWAN",
        "SOUTH_AFRICA",
        "INDUSTRIALS",
        "INDIA",
        "SP500"
      ],
      "confidence_derivation": "mean selected-active p_beat_spy_pct; 0.5 when all slots fall back to SPY",
      "deterministic_allocation": {
        "allocation_pct": {
          "CYBERSECURITY": 35,
          "SOFTWARE": 35,
          "SOUTH_AFRICA": 30
        },
        "benchmark_option_id": "SP500",
        "decisions": [
          {
            "eligible": true,
            "option_id": "SOFTWARE",
            "p_beat_spy_pct": 60,
            "rank": 1,
            "reason": "eligible",
            "recent_return_interpretation": "overreaction",
            "selected": true
          },
          {
            "eligible": true,
            "option_id": "CYBERSECURITY",
            "p_beat_spy_pct": 58,
            "rank": 2,
            "reason": "eligible",
            "recent_return_interpretation": "overreaction",
            "selected": true
          },
          {
            "eligible": true,
            "option_id": "SOUTH_AFRICA",
            "p_beat_spy_pct": 57,
            "rank": 3,
            "reason": "eligible",
            "recent_return_interpretation": "overreaction",
            "selected": true
          },
          {
            "eligible": false,
            "option_id": "CHINA",
            "p_beat_spy_pct": 54,
            "rank": 4,
            "reason": "below_probability_hurdle",
            "recent_return_interpretation": "overreaction",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "INDUSTRIALS",
            "p_beat_spy_pct": 51,
            "rank": 5,
            "reason": "not_overreaction",
            "recent_return_interpretation": "no_edge",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "SILVER",
            "p_beat_spy_pct": 50,
            "rank": 6,
            "reason": "not_overreaction",
            "recent_return_interpretation": "no_edge",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "METALS_MINING",
            "p_beat_spy_pct": 49,
            "rank": 7,
            "reason": "not_overreaction",
            "recent_return_interpretation": "no_edge",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "MEXICO",
            "p_beat_spy_pct": 50,
            "rank": 8,
            "reason": "not_overreaction",
            "recent_return_interpretation": "no_edge",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "TAIWAN",
            "p_beat_spy_pct": 46,
            "rank": 9,
            "reason": "not_overreaction",
            "recent_return_interpretation": "supported_continuation",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "BRAZIL",
            "p_beat_spy_pct": 46,
            "rank": 10,
            "reason": "not_overreaction",
            "recent_return_interpretation": "fundamental_deterioration",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "INDIA",
            "p_beat_spy_pct": 45,
            "rank": 11,
            "reason": "not_overreaction",
            "recent_return_interpretation": "no_edge",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "SP500",
            "p_beat_spy_pct": 50,
            "rank": 12,
            "reason": "benchmark_fallback",
            "recent_return_interpretation": "no_edge",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "SOUTH_KOREA",
            "p_beat_spy_pct": 42,
            "rank": 13,
            "reason": "not_overreaction",
            "recent_return_interpretation": "no_edge",
            "selected": false
          }
        ],
        "methodology_version": "portfolio-v3.0",
        "minimum_beat_spy_probability_pct": 55,
        "selected_active_option_ids": [
          "SOFTWARE",
          "CYBERSECURITY",
          "SOUTH_AFRICA"
        ],
        "slot_weights_pct": [
          35,
          35,
          30
        ]
      },
      "dispersion_state": "normal",
      "dominant_pattern": "reversal",
      "market_rationale": "SPY flat over the past week with normal cross-sectional dispersion (2.37%). Several high-quality themes (software, cybersecurity, South Africa, China) posted strong prior 16-session relative trends followed by modest one-week pullbacks with no fundamental deterioration in the briefing, favoring pullback-reversal setups over chasing high-vol short-term winners like Korea/Taiwan.",
      "methodology_version": "portfolio-v3.0",
      "prefer_spy": false,
      "top3_option_ids": [
        "SOFTWARE",
        "CYBERSECURITY",
        "SOUTH_AFRICA"
      ]
    }
  },
  "mode": "closed_capability",
  "model_id": "anthropic-claude-fable-5",
  "portfolio": [
    {
      "allocation_pct": 35,
      "option_id": "SOFTWARE",
      "rationale": "V3 selected model rank 1: overreaction with 60% estimated probability of beating SPY."
    },
    {
      "allocation_pct": 35,
      "option_id": "CYBERSECURITY",
      "rationale": "V3 selected model rank 2: overreaction with 58% estimated probability of beating SPY."
    },
    {
      "allocation_pct": 30,
      "option_id": "SOUTH_AFRICA",
      "rationale": "V3 selected model rank 3: overreaction with 57% estimated probability of beating SPY."
    }
  ],
  "portfolio_rationale": "Favor high-quality pullback reversals: software, cybersecurity, and South Africa all combine top-decile prior relative strength with modest one-week give-backs and no briefing evidence of fundamental deterioration. Avoid chasing high-volatility short-term spikes (Korea) and weak-trend laggards (Brazil, Mexico).",
  "provider": "anthropic",
  "rationale_summary": "SPY flat over the past week with normal cross-sectional dispersion (2.37%). Several high-quality themes (software, cybersecurity, South Africa, China) posted strong prior 16-session relative trends followed by modest one-week pullbacks with no fundamental deterioration in the briefing, favoring pullback-reversal setups over chasing high-vol short-term winners like Korea/Taiwan.",
  "replicate_count": 1,
  "replicate_index": 1,
  "round_id": "CB-2026-08-18-1W",
  "run_type": "official",
  "usage": {
    "input_tokens": 29117,
    "latency_seconds": 40.6953177510004,
    "output_tokens": 3236,
    "total_tokens": 32353
  }
}
Anthropic

Claude Opus 4.8

anthropic-claude-opus-4-8

Portfolio S&P 500 (SPY)
S&P 500 (SPY) 100%
Confidence
0.50
Run Type
official
Rationale

No slate candidate clears the 55% p_beat_spy threshold combined with overreaction labeling, so the deterministic rule fills all slots with SPY. Reversal candidates like China, Mexico, and Software show pullbacks but lack independent in-window catalysts to confidently beat a broad, moderately trending SPY over one week. Continuation names carry high volatility and stretched moves. Ranking reflects best relative risk/reward without conviction to override the benchmark.

SPY is essentially flat over 5 sessions but up ~4% over 21, with broad positive breadth. Macro data are mixed: soft payrolls (-23k), weak retail sales and sentiment, but firm ISM and elevated inflation with a hawkish-leaning Fed. Dispersion is moderate. No strong basis for a single-name overreaction bet that reliably beats SPY over one week; most slate reversal candidates lack independent in-window support.

Portfolio
  • S&P 500 (SPY): 100% - Deterministic SPY fallback for V3 slots without an eligible active candidate.
Key Risks
  • FOMC minutes on Aug 19 or major retailer earnings could shift risk appetite sharply
  • High-volatility reversal names (Software, South Korea) can gap either direction on thin catalysts
  • Emerging-market currency/policy shocks could invalidate China/Mexico/Brazil reversal theses
Validated JSON
{
  "confidence": 0.5,
  "is_official_score": true,
  "key_risks": [
    "FOMC minutes on Aug 19 or major retailer earnings could shift risk appetite sharply",
    "High-volatility reversal names (Software, South Korea) can gap either direction on thin catalysts",
    "Emerging-market currency/policy shocks could invalidate China/Mexico/Brazil reversal theses"
  ],
  "metadata": {
    "portfolio_v3": {
      "candidate_assessments": [
        {
          "evidence": [
            "recent active -3.24% after prior +2.95%",
            "China PMI weak at 49.2 but deep pullback",
            "quality score 0.777"
          ],
          "excess_return_p10_pct": -4,
          "excess_return_p50_pct": 0.2,
          "excess_return_p90_pct": 4.5,
          "mechanism": "reversal",
          "option_id": "CHINA",
          "origin_lanes": [
            "shock_reversal",
            "quality_pullback"
          ],
          "p_beat_spy_pct": 50,
          "p_top3_pct": 32,
          "rank": 1,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "recent active -2.58%",
            "low horizon vol 13.92%",
            "nearshoring exposure"
          ],
          "excess_return_p10_pct": -3,
          "excess_return_p50_pct": 0,
          "excess_return_p90_pct": 3.5,
          "mechanism": "reversal",
          "option_id": "MEXICO",
          "origin_lanes": [
            "shock_reversal"
          ],
          "p_beat_spy_pct": 48,
          "p_top3_pct": 26,
          "rank": 2,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "ISM manufacturing rose to 55.6",
            "near 52w high -0.10%",
            "volume z -1.72"
          ],
          "excess_return_p10_pct": -2,
          "excess_return_p50_pct": 0.1,
          "excess_return_p90_pct": 2.5,
          "mechanism": "continuation",
          "option_id": "INDUSTRIALS",
          "origin_lanes": [
            "volume_dislocation"
          ],
          "p_beat_spy_pct": 49,
          "p_top3_pct": 24,
          "rank": 3,
          "recent_return_interpretation": "no_edge"
        },
        {
          "evidence": [
            "recent active -2.83% after prior +9.16%",
            "high vol 35.11%",
            "quality 0.772"
          ],
          "excess_return_p10_pct": -5,
          "excess_return_p50_pct": 0,
          "excess_return_p90_pct": 5,
          "mechanism": "reversal",
          "option_id": "SOFTWARE",
          "origin_lanes": [
            "shock_reversal",
            "medium_strength",
            "quality_pullback"
          ],
          "p_beat_spy_pct": 47,
          "p_top3_pct": 22,
          "rank": 4,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "recent active -2.75% after prior +5.48%",
            "positive volume z 0.12",
            "quality 0.760"
          ],
          "excess_return_p10_pct": -4.5,
          "excess_return_p50_pct": -0.1,
          "excess_return_p90_pct": 4,
          "mechanism": "reversal",
          "option_id": "CYBERSECURITY",
          "origin_lanes": [
            "shock_reversal"
          ],
          "p_beat_spy_pct": 46,
          "p_top3_pct": 20,
          "rank": 5,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "recent active -1.07%",
            "low vol 12.01%",
            "volume z -1.64"
          ],
          "excess_return_p10_pct": -2.5,
          "excess_return_p50_pct": -0.2,
          "excess_return_p90_pct": 2,
          "mechanism": "reversal",
          "option_id": "INDIA",
          "origin_lanes": [
            "volume_dislocation"
          ],
          "p_beat_spy_pct": 45,
          "p_top3_pct": 16,
          "rank": 6,
          "recent_return_interpretation": "no_edge"
        },
        {
          "evidence": [
            "recent active -2.16% after prior +7.82%",
            "high beta 1.558",
            "quality 0.772"
          ],
          "excess_return_p10_pct": -5,
          "excess_return_p50_pct": -0.3,
          "excess_return_p90_pct": 4.5,
          "mechanism": "reversal",
          "option_id": "SOUTH_AFRICA",
          "origin_lanes": [
            "quality_pullback"
          ],
          "p_beat_spy_pct": 44,
          "p_top3_pct": 15,
          "rank": 7,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "recent active -3.42% with prior -4.40%",
            "-17.82% from 52w high",
            "positive volume z 0.11"
          ],
          "excess_return_p10_pct": -5,
          "excess_return_p50_pct": -0.4,
          "excess_return_p90_pct": 4,
          "mechanism": "reversal",
          "option_id": "BRAZIL",
          "origin_lanes": [
            "shock_reversal"
          ],
          "p_beat_spy_pct": 43,
          "p_top3_pct": 14,
          "rank": 8,
          "recent_return_interpretation": "fundamental_deterioration"
        },
        {
          "evidence": [
            "prior active +12.99% now stalled +0.32%",
            "very high vol 34.44%",
            "gold up 10% over 21s"
          ],
          "excess_return_p10_pct": -5,
          "excess_return_p50_pct": 0,
          "excess_return_p90_pct": 5.5,
          "mechanism": "continuation",
          "option_id": "SILVER",
          "origin_lanes": [
            "medium_strength"
          ],
          "p_beat_spy_pct": 47,
          "p_top3_pct": 18,
          "rank": 9,
          "recent_return_interpretation": "no_edge"
        },
        {
          "evidence": [
            "prior active +8.56%",
            "very high vol 43.84%",
            "volume z -1.08"
          ],
          "excess_return_p10_pct": -6,
          "excess_return_p50_pct": 0,
          "excess_return_p90_pct": 6,
          "mechanism": "continuation",
          "option_id": "METALS_MINING",
          "origin_lanes": [
            "medium_strength"
          ],
          "p_beat_spy_pct": 46,
          "p_top3_pct": 16,
          "rank": 10,
          "recent_return_interpretation": "no_edge"
        },
        {
          "evidence": [
            "recent active +5.55%",
            "semiconductor demand",
            "high vol 40.96%"
          ],
          "excess_return_p10_pct": -6,
          "excess_return_p50_pct": -0.2,
          "excess_return_p90_pct": 5.5,
          "mechanism": "continuation",
          "option_id": "TAIWAN",
          "origin_lanes": [
            "short_continuation"
          ],
          "p_beat_spy_pct": 45,
          "p_top3_pct": 15,
          "rank": 11,
          "recent_return_interpretation": "supported_continuation"
        },
        {
          "evidence": [
            "recent active +13.52%",
            "extreme vol 69.98% drawdown -17.05%",
            "beta 3.90"
          ],
          "excess_return_p10_pct": -10,
          "excess_return_p50_pct": -0.5,
          "excess_return_p90_pct": 9,
          "mechanism": "continuation",
          "option_id": "SOUTH_KOREA",
          "origin_lanes": [
            "short_continuation"
          ],
          "p_beat_spy_pct": 43,
          "p_top3_pct": 13,
          "rank": 12,
          "recent_return_interpretation": "supported_continuation"
        },
        {
          "evidence": [
            "benchmark",
            "broad breadth positive 73.91% over 21s"
          ],
          "excess_return_p10_pct": 0,
          "excess_return_p50_pct": 0,
          "excess_return_p90_pct": 0,
          "mechanism": "no_edge",
          "option_id": "SP500",
          "origin_lanes": [
            "benchmark"
          ],
          "p_beat_spy_pct": 50,
          "p_top3_pct": 30,
          "rank": 13,
          "recent_return_interpretation": "no_edge"
        }
      ],
      "candidate_slate_option_ids": [
        "BRAZIL",
        "CHINA",
        "SOFTWARE",
        "CYBERSECURITY",
        "MEXICO",
        "SILVER",
        "METALS_MINING",
        "SOUTH_KOREA",
        "TAIWAN",
        "SOUTH_AFRICA",
        "INDUSTRIALS",
        "INDIA",
        "SP500"
      ],
      "confidence_derivation": "mean selected-active p_beat_spy_pct; 0.5 when all slots fall back to SPY",
      "deterministic_allocation": {
        "allocation_pct": {
          "SP500": 100
        },
        "benchmark_option_id": "SP500",
        "decisions": [
          {
            "eligible": false,
            "option_id": "CHINA",
            "p_beat_spy_pct": 50,
            "rank": 1,
            "reason": "below_probability_hurdle",
            "recent_return_interpretation": "overreaction",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "MEXICO",
            "p_beat_spy_pct": 48,
            "rank": 2,
            "reason": "below_probability_hurdle",
            "recent_return_interpretation": "overreaction",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "INDUSTRIALS",
            "p_beat_spy_pct": 49,
            "rank": 3,
            "reason": "not_overreaction",
            "recent_return_interpretation": "no_edge",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "SOFTWARE",
            "p_beat_spy_pct": 47,
            "rank": 4,
            "reason": "below_probability_hurdle",
            "recent_return_interpretation": "overreaction",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "CYBERSECURITY",
            "p_beat_spy_pct": 46,
            "rank": 5,
            "reason": "below_probability_hurdle",
            "recent_return_interpretation": "overreaction",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "INDIA",
            "p_beat_spy_pct": 45,
            "rank": 6,
            "reason": "not_overreaction",
            "recent_return_interpretation": "no_edge",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "SOUTH_AFRICA",
            "p_beat_spy_pct": 44,
            "rank": 7,
            "reason": "below_probability_hurdle",
            "recent_return_interpretation": "overreaction",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "BRAZIL",
            "p_beat_spy_pct": 43,
            "rank": 8,
            "reason": "not_overreaction",
            "recent_return_interpretation": "fundamental_deterioration",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "SILVER",
            "p_beat_spy_pct": 47,
            "rank": 9,
            "reason": "not_overreaction",
            "recent_return_interpretation": "no_edge",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "METALS_MINING",
            "p_beat_spy_pct": 46,
            "rank": 10,
            "reason": "not_overreaction",
            "recent_return_interpretation": "no_edge",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "TAIWAN",
            "p_beat_spy_pct": 45,
            "rank": 11,
            "reason": "not_overreaction",
            "recent_return_interpretation": "supported_continuation",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "SOUTH_KOREA",
            "p_beat_spy_pct": 43,
            "rank": 12,
            "reason": "not_overreaction",
            "recent_return_interpretation": "supported_continuation",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "SP500",
            "p_beat_spy_pct": 50,
            "rank": 13,
            "reason": "benchmark_fallback",
            "recent_return_interpretation": "no_edge",
            "selected": false
          }
        ],
        "methodology_version": "portfolio-v3.0",
        "minimum_beat_spy_probability_pct": 55,
        "selected_active_option_ids": [],
        "slot_weights_pct": [
          35,
          35,
          30
        ]
      },
      "dispersion_state": "normal",
      "dominant_pattern": "mixed",
      "market_rationale": "SPY is essentially flat over 5 sessions but up ~4% over 21, with broad positive breadth. Macro data are mixed: soft payrolls (-23k), weak retail sales and sentiment, but firm ISM and elevated inflation with a hawkish-leaning Fed. Dispersion is moderate. No strong basis for a single-name overreaction bet that reliably beats SPY over one week; most slate reversal candidates lack independent in-window support.",
      "methodology_version": "portfolio-v3.0",
      "prefer_spy": true,
      "top3_option_ids": [
        "CHINA",
        "MEXICO",
        "INDUSTRIALS"
      ]
    }
  },
  "mode": "closed_capability",
  "model_id": "anthropic-claude-opus-4-8",
  "portfolio": [
    {
      "allocation_pct": 100,
      "option_id": "SP500",
      "rationale": "Deterministic SPY fallback for V3 slots without an eligible active candidate."
    }
  ],
  "portfolio_rationale": "No slate candidate clears the 55% p_beat_spy threshold combined with overreaction labeling, so the deterministic rule fills all slots with SPY. Reversal candidates like China, Mexico, and Software show pullbacks but lack independent in-window catalysts to confidently beat a broad, moderately trending SPY over one week. Continuation names carry high volatility and stretched moves. Ranking reflects best relative risk/reward without conviction to override the benchmark.",
  "provider": "anthropic",
  "rationale_summary": "SPY is essentially flat over 5 sessions but up ~4% over 21, with broad positive breadth. Macro data are mixed: soft payrolls (-23k), weak retail sales and sentiment, but firm ISM and elevated inflation with a hawkish-leaning Fed. Dispersion is moderate. No strong basis for a single-name overreaction bet that reliably beats SPY over one week; most slate reversal candidates lack independent in-window support.",
  "replicate_count": 1,
  "replicate_index": 1,
  "round_id": "CB-2026-08-18-1W",
  "run_type": "official",
  "usage": {
    "input_tokens": 29123,
    "latency_seconds": 36.16747875400324,
    "output_tokens": 2890,
    "total_tokens": 32013
  }
}
Anthropic

Claude Opus 5

anthropic-claude-opus-5

3 holdings Software (IGV)
Software (IGV) 35% Cybersecurity (CIBR) 35% South Africa Equities (EZA) 30%
Confidence
0.57
Run Type
official
Rationale

Rank order favors high-quality prior-trend leaders that pulled back sharply in the last week without briefing-level fundamental deterioration: SOFTWARE, CYBERSECURITY, and SOUTH_AFRICA all combine top-decile prior relative strength with deep recent relative pullbacks. Parabolic short-horizon movers (SOUTH_KOREA, TAIWAN) are ranked low because their strength is unsupported by quality metrics and carries extreme volatility. CHINA's pullback is offset by deteriorating PMI, so it is not labeled overreaction. SPY sits mid-rank as the neutral default.

SPY is flat over 5 sessions but up ~4% over 21 with broad participation; inflation is cooling modestly while labor data soften and the FOMC remains on hold with hawkish dissents. Dispersion of 2.37% weekly active return is normal, so single-week edges are small. The clearest mechanical setups are quality names with strong prior relative trends that gave back ground in the last week (SOFTWARE, CYBERSECURITY, SOUTH_AFRICA, CHINA), versus low-quality extreme momentum (SOUTH_KOREA, TAIWAN) that carries high reversal risk. Week ahead is retailer-earnings and FOMC-minutes driven, which favors modest, diversified tilts over concentrated beta bets.

Portfolio
  • Software (IGV): 35% - V3 selected model rank 1: overreaction with 58% estimated probability of beating SPY.
  • Cybersecurity (CIBR): 35% - V3 selected model rank 2: overreaction with 57% estimated probability of beating SPY.
  • South Africa Equities (EZA): 30% - V3 selected model rank 3: overreaction with 55% estimated probability of beating SPY.
Key Risks
  • Mean-reversion setups can extend if tech-sector selling continues through retailer earnings and FOMC minutes
  • High-beta software and cybersecurity exposure amplifies any broad equity drawdown within a single week
  • South Africa carries emerging-market currency and commodity risk uncorrelated to the thesis
  • Hawkish July FOMC minutes on August 19 could lift the long end and pressure high-multiple growth
  • Volume z-scores are broadly negative, indicating thin participation and unstable weekly signals
Validated JSON
{
  "confidence": 0.5667,
  "is_official_score": true,
  "key_risks": [
    "Mean-reversion setups can extend if tech-sector selling continues through retailer earnings and FOMC minutes",
    "High-beta software and cybersecurity exposure amplifies any broad equity drawdown within a single week",
    "South Africa carries emerging-market currency and commodity risk uncorrelated to the thesis",
    "Hawkish July FOMC minutes on August 19 could lift the long end and pressure high-multiple growth",
    "Volume z-scores are broadly negative, indicating thin participation and unstable weekly signals"
  ],
  "metadata": {
    "portfolio_v3": {
      "candidate_assessments": [
        {
          "evidence": [
            "-2.83% active last week against +9.16% prior 16-session active",
            "Highest prior active rank (0.985) and recent pullback rank (0.970)",
            "No fundamental catalyst in briefing explaining the pullback"
          ],
          "excess_return_p10_pct": -4.5,
          "excess_return_p50_pct": 1,
          "excess_return_p90_pct": 6,
          "mechanism": "reversal",
          "option_id": "SOFTWARE",
          "origin_lanes": [
            "shock_reversal",
            "medium_strength",
            "quality_pullback"
          ],
          "p_beat_spy_pct": 58,
          "p_top3_pct": 45,
          "rank": 1,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "-2.59% 3-session return and -2.75% active after +5.48% prior active",
            "Only -4.32% from 52-week high, shallow 21s drawdown -5.02%",
            "Quality score 0.760 with modest volume uptick (z 0.12)"
          ],
          "excess_return_p10_pct": -3.8,
          "excess_return_p50_pct": 0.9,
          "excess_return_p90_pct": 5,
          "mechanism": "reversal",
          "option_id": "CYBERSECURITY",
          "origin_lanes": [
            "shock_reversal"
          ],
          "p_beat_spy_pct": 57,
          "p_top3_pct": 40,
          "rank": 2,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "-2.16% active last week vs +7.82% prior 16s active",
            "Quality score 0.772 with prior active rank 0.955",
            "Gold up 10% over 21 sessions supports resource-linked exposure"
          ],
          "excess_return_p10_pct": -4.5,
          "excess_return_p50_pct": 0.7,
          "excess_return_p90_pct": 5.5,
          "mechanism": "reversal",
          "option_id": "SOUTH_AFRICA",
          "origin_lanes": [
            "quality_pullback"
          ],
          "p_beat_spy_pct": 55,
          "p_top3_pct": 33,
          "rank": 3,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "-3.24% active last week after +2.95% prior active",
            "July official manufacturing PMI fell to 49.2 with new orders 48.5",
            "Trade surplus narrowed to $112.5B from $125.6B"
          ],
          "excess_return_p10_pct": -4,
          "excess_return_p50_pct": 0.3,
          "excess_return_p90_pct": 4.5,
          "mechanism": "reversal",
          "option_id": "CHINA",
          "origin_lanes": [
            "shock_reversal",
            "quality_pullback"
          ],
          "p_beat_spy_pct": 52,
          "p_top3_pct": 25,
          "rank": 4,
          "recent_return_interpretation": "no_edge"
        },
        {
          "evidence": [
            "+12.99% prior 16s active, top prior-active rank 1.000",
            "Gold +10.08% over 21 sessions, dollar slightly weaker",
            "High 34% volatility and -43.6% from 52-week high"
          ],
          "excess_return_p10_pct": -4.5,
          "excess_return_p50_pct": 0.2,
          "excess_return_p90_pct": 5.5,
          "mechanism": "continuation",
          "option_id": "SILVER",
          "origin_lanes": [
            "medium_strength"
          ],
          "p_beat_spy_pct": 51,
          "p_top3_pct": 22,
          "rank": 5,
          "recent_return_interpretation": "supported_continuation"
        },
        {
          "evidence": [
            "ISM Manufacturing rose to 55.6 with new orders 56.7",
            "At 52-week high (-0.10%) with volume z -1.72",
            "Modest +0.98% active last week"
          ],
          "excess_return_p10_pct": -2,
          "excess_return_p50_pct": 0.1,
          "excess_return_p90_pct": 2.2,
          "mechanism": "no_edge",
          "option_id": "INDUSTRIALS",
          "origin_lanes": [
            "volume_dislocation"
          ],
          "p_beat_spy_pct": 50,
          "p_top3_pct": 15,
          "rank": 6,
          "recent_return_interpretation": "no_edge"
        },
        {
          "evidence": [
            "+8.56% prior active, prior rank 0.970",
            "43.8% horizon volatility, lowest low-vol rank tier",
            "Volume z -1.08 shows fading participation"
          ],
          "excess_return_p10_pct": -6,
          "excess_return_p50_pct": 0,
          "excess_return_p90_pct": 6.5,
          "mechanism": "continuation",
          "option_id": "METALS_MINING",
          "origin_lanes": [
            "medium_strength"
          ],
          "p_beat_spy_pct": 49,
          "p_top3_pct": 16,
          "rank": 7,
          "recent_return_interpretation": "supported_continuation"
        },
        {
          "evidence": [
            "-1.07% active last week and -1.09% prior active: persistent lag",
            "Volume z -1.64 indicates disengagement",
            "-10.33% from 52-week high"
          ],
          "excess_return_p10_pct": -2.5,
          "excess_return_p50_pct": -0.1,
          "excess_return_p90_pct": 2.4,
          "mechanism": "no_edge",
          "option_id": "INDIA",
          "origin_lanes": [
            "volume_dislocation"
          ],
          "p_beat_spy_pct": 48,
          "p_top3_pct": 12,
          "rank": 8,
          "recent_return_interpretation": "no_edge"
        },
        {
          "evidence": [
            "Benchmark; +13.1% YTD through August 17",
            "Flat 5-session return, 13.24% volatility"
          ],
          "excess_return_p10_pct": 0,
          "excess_return_p50_pct": 0,
          "excess_return_p90_pct": 0,
          "mechanism": "no_edge",
          "option_id": "SP500",
          "origin_lanes": [
            "benchmark"
          ],
          "p_beat_spy_pct": 50,
          "p_top3_pct": 10,
          "rank": 9,
          "recent_return_interpretation": "no_edge"
        },
        {
          "evidence": [
            "-2.58% active last week and -1.89% prior active: weak trend",
            "Moderate 13.9% volatility",
            "Volume z -0.30, no dislocation signal"
          ],
          "excess_return_p10_pct": -3.2,
          "excess_return_p50_pct": -0.2,
          "excess_return_p90_pct": 3,
          "mechanism": "reversal",
          "option_id": "MEXICO",
          "origin_lanes": [
            "shock_reversal"
          ],
          "p_beat_spy_pct": 47,
          "p_top3_pct": 10,
          "rank": 10,
          "recent_return_interpretation": "no_edge"
        },
        {
          "evidence": [
            "+5.55% active last week, semis SMH +4.38% active",
            "41% volatility and -12.07% 21s drawdown",
            "Volume z -1.36 with only -3.34% from 52-week high"
          ],
          "excess_return_p10_pct": -6.5,
          "excess_return_p50_pct": -0.4,
          "excess_return_p90_pct": 5.5,
          "mechanism": "continuation",
          "option_id": "TAIWAN",
          "origin_lanes": [
            "short_continuation"
          ],
          "p_beat_spy_pct": 46,
          "p_top3_pct": 11,
          "rank": 11,
          "recent_return_interpretation": "supported_continuation"
        },
        {
          "evidence": [
            "-3.42% active last week and -4.40% prior active: sustained lag",
            "-17.82% from 52-week high, -7.86% 21s drawdown",
            "Quality score 0.454 with weak prior trend rank 0.209"
          ],
          "excess_return_p10_pct": -5,
          "excess_return_p50_pct": -0.4,
          "excess_return_p90_pct": 4.5,
          "mechanism": "reversal",
          "option_id": "BRAZIL",
          "origin_lanes": [
            "shock_reversal"
          ],
          "p_beat_spy_pct": 45,
          "p_top3_pct": 9,
          "rank": 12,
          "recent_return_interpretation": "fundamental_deterioration"
        },
        {
          "evidence": [
            "+13.52% active in one week with 69.98% volatility",
            "Beta to SPY 3.90 and -17.05% 21s max drawdown",
            "Lowest quality score 0.149; prior active -3.64%"
          ],
          "excess_return_p10_pct": -11,
          "excess_return_p50_pct": -1,
          "excess_return_p90_pct": 9,
          "mechanism": "continuation",
          "option_id": "SOUTH_KOREA",
          "origin_lanes": [
            "short_continuation"
          ],
          "p_beat_spy_pct": 42,
          "p_top3_pct": 10,
          "rank": 13,
          "recent_return_interpretation": "supported_continuation"
        }
      ],
      "candidate_slate_option_ids": [
        "BRAZIL",
        "CHINA",
        "SOFTWARE",
        "CYBERSECURITY",
        "MEXICO",
        "SILVER",
        "METALS_MINING",
        "SOUTH_KOREA",
        "TAIWAN",
        "SOUTH_AFRICA",
        "INDUSTRIALS",
        "INDIA",
        "SP500"
      ],
      "confidence_derivation": "mean selected-active p_beat_spy_pct; 0.5 when all slots fall back to SPY",
      "deterministic_allocation": {
        "allocation_pct": {
          "CYBERSECURITY": 35,
          "SOFTWARE": 35,
          "SOUTH_AFRICA": 30
        },
        "benchmark_option_id": "SP500",
        "decisions": [
          {
            "eligible": true,
            "option_id": "SOFTWARE",
            "p_beat_spy_pct": 58,
            "rank": 1,
            "reason": "eligible",
            "recent_return_interpretation": "overreaction",
            "selected": true
          },
          {
            "eligible": true,
            "option_id": "CYBERSECURITY",
            "p_beat_spy_pct": 57,
            "rank": 2,
            "reason": "eligible",
            "recent_return_interpretation": "overreaction",
            "selected": true
          },
          {
            "eligible": true,
            "option_id": "SOUTH_AFRICA",
            "p_beat_spy_pct": 55,
            "rank": 3,
            "reason": "eligible",
            "recent_return_interpretation": "overreaction",
            "selected": true
          },
          {
            "eligible": false,
            "option_id": "CHINA",
            "p_beat_spy_pct": 52,
            "rank": 4,
            "reason": "not_overreaction",
            "recent_return_interpretation": "no_edge",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "SILVER",
            "p_beat_spy_pct": 51,
            "rank": 5,
            "reason": "not_overreaction",
            "recent_return_interpretation": "supported_continuation",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "INDUSTRIALS",
            "p_beat_spy_pct": 50,
            "rank": 6,
            "reason": "not_overreaction",
            "recent_return_interpretation": "no_edge",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "METALS_MINING",
            "p_beat_spy_pct": 49,
            "rank": 7,
            "reason": "not_overreaction",
            "recent_return_interpretation": "supported_continuation",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "INDIA",
            "p_beat_spy_pct": 48,
            "rank": 8,
            "reason": "not_overreaction",
            "recent_return_interpretation": "no_edge",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "SP500",
            "p_beat_spy_pct": 50,
            "rank": 9,
            "reason": "benchmark_fallback",
            "recent_return_interpretation": "no_edge",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "MEXICO",
            "p_beat_spy_pct": 47,
            "rank": 10,
            "reason": "not_overreaction",
            "recent_return_interpretation": "no_edge",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "TAIWAN",
            "p_beat_spy_pct": 46,
            "rank": 11,
            "reason": "not_overreaction",
            "recent_return_interpretation": "supported_continuation",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "BRAZIL",
            "p_beat_spy_pct": 45,
            "rank": 12,
            "reason": "not_overreaction",
            "recent_return_interpretation": "fundamental_deterioration",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "SOUTH_KOREA",
            "p_beat_spy_pct": 42,
            "rank": 13,
            "reason": "not_overreaction",
            "recent_return_interpretation": "supported_continuation",
            "selected": false
          }
        ],
        "methodology_version": "portfolio-v3.0",
        "minimum_beat_spy_probability_pct": 55,
        "selected_active_option_ids": [
          "SOFTWARE",
          "CYBERSECURITY",
          "SOUTH_AFRICA"
        ],
        "slot_weights_pct": [
          35,
          35,
          30
        ]
      },
      "dispersion_state": "normal",
      "dominant_pattern": "mixed",
      "market_rationale": "SPY is flat over 5 sessions but up ~4% over 21 with broad participation; inflation is cooling modestly while labor data soften and the FOMC remains on hold with hawkish dissents. Dispersion of 2.37% weekly active return is normal, so single-week edges are small. The clearest mechanical setups are quality names with strong prior relative trends that gave back ground in the last week (SOFTWARE, CYBERSECURITY, SOUTH_AFRICA, CHINA), versus low-quality extreme momentum (SOUTH_KOREA, TAIWAN) that carries high reversal risk. Week ahead is retailer-earnings and FOMC-minutes driven, which favors modest, diversified tilts over concentrated beta bets.",
      "methodology_version": "portfolio-v3.0",
      "prefer_spy": false,
      "top3_option_ids": [
        "SOFTWARE",
        "CYBERSECURITY",
        "SOUTH_AFRICA"
      ]
    }
  },
  "mode": "closed_capability",
  "model_id": "anthropic-claude-opus-5",
  "portfolio": [
    {
      "allocation_pct": 35,
      "option_id": "SOFTWARE",
      "rationale": "V3 selected model rank 1: overreaction with 58% estimated probability of beating SPY."
    },
    {
      "allocation_pct": 35,
      "option_id": "CYBERSECURITY",
      "rationale": "V3 selected model rank 2: overreaction with 57% estimated probability of beating SPY."
    },
    {
      "allocation_pct": 30,
      "option_id": "SOUTH_AFRICA",
      "rationale": "V3 selected model rank 3: overreaction with 55% estimated probability of beating SPY."
    }
  ],
  "portfolio_rationale": "Rank order favors high-quality prior-trend leaders that pulled back sharply in the last week without briefing-level fundamental deterioration: SOFTWARE, CYBERSECURITY, and SOUTH_AFRICA all combine top-decile prior relative strength with deep recent relative pullbacks. Parabolic short-horizon movers (SOUTH_KOREA, TAIWAN) are ranked low because their strength is unsupported by quality metrics and carries extreme volatility. CHINA's pullback is offset by deteriorating PMI, so it is not labeled overreaction. SPY sits mid-rank as the neutral default.",
  "provider": "anthropic",
  "rationale_summary": "SPY is flat over 5 sessions but up ~4% over 21 with broad participation; inflation is cooling modestly while labor data soften and the FOMC remains on hold with hawkish dissents. Dispersion of 2.37% weekly active return is normal, so single-week edges are small. The clearest mechanical setups are quality names with strong prior relative trends that gave back ground in the last week (SOFTWARE, CYBERSECURITY, SOUTH_AFRICA, CHINA), versus low-quality extreme momentum (SOUTH_KOREA, TAIWAN) that carries high reversal risk. Week ahead is retailer-earnings and FOMC-minutes driven, which favors modest, diversified tilts over concentrated beta bets.",
  "replicate_count": 1,
  "replicate_index": 1,
  "round_id": "CB-2026-08-18-1W",
  "run_type": "official",
  "usage": {
    "input_tokens": 29117,
    "latency_seconds": 46.377132822999556,
    "output_tokens": 3525,
    "total_tokens": 32642
  }
}
Google

Gemini 3.1 Pro

google-gemini-3-1-pro

3 holdings Software (IGV)
Software (IGV) 35% Cybersecurity (CIBR) 35% China Equities (MCHI) 30%
Confidence
0.58
Run Type
official
Rationale

The portfolio targets high-quality assets that have experienced recent pullbacks, suggesting potential for reversal in a mixed economic environment.

The market is digesting mixed economic data, with inflation showing signs of cooling but labor and consumer data softening. This creates a mixed environment where defensive and quality assets may outperform.

Portfolio
  • Software (IGV): 35% - V3 selected model rank 1: overreaction with 60% estimated probability of beating SPY.
  • Cybersecurity (CIBR): 35% - V3 selected model rank 2: overreaction with 58% estimated probability of beating SPY.
  • China Equities (MCHI): 30% - V3 selected model rank 3: overreaction with 56% estimated probability of beating SPY.
Key Risks
  • Economic data could worsen, leading to a broader market selloff.
  • Inflation could remain sticky, prompting the Fed to maintain higher rates for longer.
Validated JSON
{
  "confidence": 0.58,
  "is_official_score": true,
  "key_risks": [
    "Economic data could worsen, leading to a broader market selloff.",
    "Inflation could remain sticky, prompting the Fed to maintain higher rates for longer."
  ],
  "metadata": {
    "portfolio_v3": {
      "candidate_assessments": [
        {
          "evidence": [
            "Software has a high quality evidence score of 0.772.",
            "Recent active return was -2.83%, suggesting a pullback."
          ],
          "excess_return_p10_pct": -2,
          "excess_return_p50_pct": 1,
          "excess_return_p90_pct": 4,
          "mechanism": "reversal",
          "option_id": "SOFTWARE",
          "origin_lanes": [
            "shock_reversal",
            "medium_strength",
            "quality_pullback"
          ],
          "p_beat_spy_pct": 60,
          "p_top3_pct": 40,
          "rank": 1,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "Cybersecurity has a high quality evidence score of 0.760.",
            "Recent active return was -2.75%."
          ],
          "excess_return_p10_pct": -2.5,
          "excess_return_p50_pct": 0.8,
          "excess_return_p90_pct": 3.5,
          "mechanism": "reversal",
          "option_id": "CYBERSECURITY",
          "origin_lanes": [
            "shock_reversal"
          ],
          "p_beat_spy_pct": 58,
          "p_top3_pct": 35,
          "rank": 2,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "China has a high quality evidence score of 0.777.",
            "Recent active return was -3.24%."
          ],
          "excess_return_p10_pct": -3,
          "excess_return_p50_pct": 0.5,
          "excess_return_p90_pct": 4,
          "mechanism": "reversal",
          "option_id": "CHINA",
          "origin_lanes": [
            "shock_reversal",
            "quality_pullback"
          ],
          "p_beat_spy_pct": 56,
          "p_top3_pct": 30,
          "rank": 3,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "South Africa has a high quality evidence score of 0.772.",
            "Recent active return was -2.16%."
          ],
          "excess_return_p10_pct": -3,
          "excess_return_p50_pct": 0.2,
          "excess_return_p90_pct": 3.5,
          "mechanism": "reversal",
          "option_id": "SOUTH_AFRICA",
          "origin_lanes": [
            "quality_pullback"
          ],
          "p_beat_spy_pct": 54,
          "p_top3_pct": 25,
          "rank": 4,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "Mexico has a quality evidence score of 0.613.",
            "Recent active return was -2.58%."
          ],
          "excess_return_p10_pct": -2.5,
          "excess_return_p50_pct": 0.1,
          "excess_return_p90_pct": 3,
          "mechanism": "reversal",
          "option_id": "MEXICO",
          "origin_lanes": [
            "shock_reversal"
          ],
          "p_beat_spy_pct": 52,
          "p_top3_pct": 20,
          "rank": 5,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "Brazil has a quality evidence score of 0.454.",
            "Recent active return was -3.42%."
          ],
          "excess_return_p10_pct": -3.5,
          "excess_return_p50_pct": 0,
          "excess_return_p90_pct": 3.5,
          "mechanism": "reversal",
          "option_id": "BRAZIL",
          "origin_lanes": [
            "shock_reversal"
          ],
          "p_beat_spy_pct": 50,
          "p_top3_pct": 15,
          "rank": 6,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "India has a quality evidence score of 0.654.",
            "Recent active return was -1.07%."
          ],
          "excess_return_p10_pct": -2,
          "excess_return_p50_pct": -0.2,
          "excess_return_p90_pct": 2,
          "mechanism": "no_edge",
          "option_id": "INDIA",
          "origin_lanes": [
            "volume_dislocation"
          ],
          "p_beat_spy_pct": 48,
          "p_top3_pct": 10,
          "rank": 7,
          "recent_return_interpretation": "no_edge"
        },
        {
          "evidence": [
            "Industrials has a quality evidence score of 0.411.",
            "Recent active return was 0.98%."
          ],
          "excess_return_p10_pct": -1.5,
          "excess_return_p50_pct": -0.5,
          "excess_return_p90_pct": 1.5,
          "mechanism": "no_edge",
          "option_id": "INDUSTRIALS",
          "origin_lanes": [
            "volume_dislocation"
          ],
          "p_beat_spy_pct": 45,
          "p_top3_pct": 5,
          "rank": 8,
          "recent_return_interpretation": "no_edge"
        },
        {
          "evidence": [
            "Silver has a quality evidence score of 0.640.",
            "Recent active return was 0.32%."
          ],
          "excess_return_p10_pct": -3,
          "excess_return_p50_pct": -0.5,
          "excess_return_p90_pct": 2.5,
          "mechanism": "continuation",
          "option_id": "SILVER",
          "origin_lanes": [
            "medium_strength"
          ],
          "p_beat_spy_pct": 45,
          "p_top3_pct": 5,
          "rank": 9,
          "recent_return_interpretation": "supported_continuation"
        },
        {
          "evidence": [
            "Metals and Mining has a quality evidence score of 0.584.",
            "Recent active return was 0.52%."
          ],
          "excess_return_p10_pct": -3.5,
          "excess_return_p50_pct": -0.5,
          "excess_return_p90_pct": 3,
          "mechanism": "continuation",
          "option_id": "METALS_MINING",
          "origin_lanes": [
            "medium_strength"
          ],
          "p_beat_spy_pct": 45,
          "p_top3_pct": 5,
          "rank": 10,
          "recent_return_interpretation": "supported_continuation"
        },
        {
          "evidence": [
            "South Korea has a low quality evidence score of 0.149.",
            "Recent active return was 13.52%."
          ],
          "excess_return_p10_pct": -5,
          "excess_return_p50_pct": -1,
          "excess_return_p90_pct": 4,
          "mechanism": "continuation",
          "option_id": "SOUTH_KOREA",
          "origin_lanes": [
            "short_continuation"
          ],
          "p_beat_spy_pct": 40,
          "p_top3_pct": 5,
          "rank": 11,
          "recent_return_interpretation": "supported_continuation"
        },
        {
          "evidence": [
            "Taiwan has a low quality evidence score of 0.383.",
            "Recent active return was 5.55%."
          ],
          "excess_return_p10_pct": -4,
          "excess_return_p50_pct": -1,
          "excess_return_p90_pct": 3,
          "mechanism": "continuation",
          "option_id": "TAIWAN",
          "origin_lanes": [
            "short_continuation"
          ],
          "p_beat_spy_pct": 40,
          "p_top3_pct": 5,
          "rank": 12,
          "recent_return_interpretation": "supported_continuation"
        },
        {
          "evidence": [
            "SPY is the benchmark."
          ],
          "excess_return_p10_pct": 0,
          "excess_return_p50_pct": 0,
          "excess_return_p90_pct": 0,
          "mechanism": "no_edge",
          "option_id": "SP500",
          "origin_lanes": [
            "benchmark"
          ],
          "p_beat_spy_pct": 0,
          "p_top3_pct": 0,
          "rank": 13,
          "recent_return_interpretation": "no_edge"
        }
      ],
      "candidate_slate_option_ids": [
        "BRAZIL",
        "CHINA",
        "SOFTWARE",
        "CYBERSECURITY",
        "MEXICO",
        "SILVER",
        "METALS_MINING",
        "SOUTH_KOREA",
        "TAIWAN",
        "SOUTH_AFRICA",
        "INDUSTRIALS",
        "INDIA",
        "SP500"
      ],
      "confidence_derivation": "mean selected-active p_beat_spy_pct; 0.5 when all slots fall back to SPY",
      "deterministic_allocation": {
        "allocation_pct": {
          "CHINA": 30,
          "CYBERSECURITY": 35,
          "SOFTWARE": 35
        },
        "benchmark_option_id": "SP500",
        "decisions": [
          {
            "eligible": true,
            "option_id": "SOFTWARE",
            "p_beat_spy_pct": 60,
            "rank": 1,
            "reason": "eligible",
            "recent_return_interpretation": "overreaction",
            "selected": true
          },
          {
            "eligible": true,
            "option_id": "CYBERSECURITY",
            "p_beat_spy_pct": 58,
            "rank": 2,
            "reason": "eligible",
            "recent_return_interpretation": "overreaction",
            "selected": true
          },
          {
            "eligible": true,
            "option_id": "CHINA",
            "p_beat_spy_pct": 56,
            "rank": 3,
            "reason": "eligible",
            "recent_return_interpretation": "overreaction",
            "selected": true
          },
          {
            "eligible": false,
            "option_id": "SOUTH_AFRICA",
            "p_beat_spy_pct": 54,
            "rank": 4,
            "reason": "below_probability_hurdle",
            "recent_return_interpretation": "overreaction",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "MEXICO",
            "p_beat_spy_pct": 52,
            "rank": 5,
            "reason": "below_probability_hurdle",
            "recent_return_interpretation": "overreaction",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "BRAZIL",
            "p_beat_spy_pct": 50,
            "rank": 6,
            "reason": "below_probability_hurdle",
            "recent_return_interpretation": "overreaction",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "INDIA",
            "p_beat_spy_pct": 48,
            "rank": 7,
            "reason": "not_overreaction",
            "recent_return_interpretation": "no_edge",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "INDUSTRIALS",
            "p_beat_spy_pct": 45,
            "rank": 8,
            "reason": "not_overreaction",
            "recent_return_interpretation": "no_edge",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "SILVER",
            "p_beat_spy_pct": 45,
            "rank": 9,
            "reason": "not_overreaction",
            "recent_return_interpretation": "supported_continuation",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "METALS_MINING",
            "p_beat_spy_pct": 45,
            "rank": 10,
            "reason": "not_overreaction",
            "recent_return_interpretation": "supported_continuation",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "SOUTH_KOREA",
            "p_beat_spy_pct": 40,
            "rank": 11,
            "reason": "not_overreaction",
            "recent_return_interpretation": "supported_continuation",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "TAIWAN",
            "p_beat_spy_pct": 40,
            "rank": 12,
            "reason": "not_overreaction",
            "recent_return_interpretation": "supported_continuation",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "SP500",
            "p_beat_spy_pct": 0,
            "rank": 13,
            "reason": "benchmark_fallback",
            "recent_return_interpretation": "no_edge",
            "selected": false
          }
        ],
        "methodology_version": "portfolio-v3.0",
        "minimum_beat_spy_probability_pct": 55,
        "selected_active_option_ids": [
          "SOFTWARE",
          "CYBERSECURITY",
          "CHINA"
        ],
        "slot_weights_pct": [
          35,
          35,
          30
        ]
      },
      "dispersion_state": "normal",
      "dominant_pattern": "mixed",
      "market_rationale": "The market is digesting mixed economic data, with inflation showing signs of cooling but labor and consumer data softening. This creates a mixed environment where defensive and quality assets may outperform.",
      "methodology_version": "portfolio-v3.0",
      "prefer_spy": false,
      "top3_option_ids": [
        "SOFTWARE",
        "CYBERSECURITY",
        "CHINA"
      ]
    }
  },
  "mode": "closed_capability",
  "model_id": "google-gemini-3-1-pro",
  "portfolio": [
    {
      "allocation_pct": 35,
      "option_id": "SOFTWARE",
      "rationale": "V3 selected model rank 1: overreaction with 60% estimated probability of beating SPY."
    },
    {
      "allocation_pct": 35,
      "option_id": "CYBERSECURITY",
      "rationale": "V3 selected model rank 2: overreaction with 58% estimated probability of beating SPY."
    },
    {
      "allocation_pct": 30,
      "option_id": "CHINA",
      "rationale": "V3 selected model rank 3: overreaction with 56% estimated probability of beating SPY."
    }
  ],
  "portfolio_rationale": "The portfolio targets high-quality assets that have experienced recent pullbacks, suggesting potential for reversal in a mixed economic environment.",
  "provider": "google",
  "rationale_summary": "The market is digesting mixed economic data, with inflation showing signs of cooling but labor and consumer data softening. This creates a mixed environment where defensive and quality assets may outperform.",
  "replicate_count": 1,
  "replicate_index": 1,
  "round_id": "CB-2026-08-18-1W",
  "run_type": "official",
  "usage": {
    "input_tokens": 20127,
    "latency_seconds": 21.78444242400292,
    "output_tokens": 2752,
    "total_tokens": 22879
  }
}
OpenAI

GPT-5.6 Sol

openai-gpt-5-6-sol

3 holdings Software (IGV)
Software (IGV) 35% Cybersecurity (CIBR) 35% South Africa Equities (EZA) 30%
Confidence
0.57
Run Type
official
Rationale

Software, cybersecurity, and South Africa combine strong prior relative trends with sharp recent pullbacks and high quality scores, creating the best reversal setups. China narrowly misses eligibility because contractionary manufacturing data weakens the overreaction case.

Breadth is positive but macro signals conflict: softer inflation supports risk assets while weak payrolls, retail sales, and consumer sentiment constrain cyclicals. High-quality pullbacks offer better one-week asymmetry than extended high-beta winners.

Portfolio
  • Software (IGV): 35% - V3 selected model rank 1: overreaction with 59% estimated probability of beating SPY.
  • Cybersecurity (CIBR): 35% - V3 selected model rank 2: overreaction with 57% estimated probability of beating SPY.
  • South Africa Equities (EZA): 30% - V3 selected model rank 3: overreaction with 56% estimated probability of beating SPY.
Key Risks
  • FOMC minutes could reinforce inflation concerns and pressure high-duration software shares
  • Weak retail and labor data could deepen rather than reverse cyclical and emerging-market declines
  • High volatility could overwhelm one-week mean-reversion signals
  • China-linked growth weakness could spill into emerging markets and metals
Validated JSON
{
  "confidence": 0.5733,
  "is_official_score": true,
  "key_risks": [
    "FOMC minutes could reinforce inflation concerns and pressure high-duration software shares",
    "Weak retail and labor data could deepen rather than reverse cyclical and emerging-market declines",
    "High volatility could overwhelm one-week mean-reversion signals",
    "China-linked growth weakness could spill into emerging markets and metals"
  ],
  "metadata": {
    "portfolio_v3": {
      "candidate_assessments": [
        {
          "evidence": [
            "Prior active return was 9.16% before the latest window",
            "Recent active return fell 2.83%",
            "Quality evidence score was 0.772"
          ],
          "excess_return_p10_pct": -4.8,
          "excess_return_p50_pct": 0.8,
          "excess_return_p90_pct": 6.2,
          "mechanism": "reversal",
          "option_id": "SOFTWARE",
          "origin_lanes": [
            "shock_reversal",
            "medium_strength",
            "quality_pullback"
          ],
          "p_beat_spy_pct": 59,
          "p_top3_pct": 38,
          "rank": 1,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "Prior active return was 5.48%",
            "Recent active return was -2.75%",
            "Quality evidence score was 0.760"
          ],
          "excess_return_p10_pct": -4.2,
          "excess_return_p50_pct": 0.6,
          "excess_return_p90_pct": 5.3,
          "mechanism": "reversal",
          "option_id": "CYBERSECURITY",
          "origin_lanes": [
            "shock_reversal"
          ],
          "p_beat_spy_pct": 57,
          "p_top3_pct": 34,
          "rank": 2,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "Prior active return was 7.82%",
            "Recent active return was -2.16%",
            "Quality evidence score was 0.772"
          ],
          "excess_return_p10_pct": -4,
          "excess_return_p50_pct": 0.5,
          "excess_return_p90_pct": 4.9,
          "mechanism": "reversal",
          "option_id": "SOUTH_AFRICA",
          "origin_lanes": [
            "quality_pullback"
          ],
          "p_beat_spy_pct": 56,
          "p_top3_pct": 31,
          "rank": 3,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "Quality evidence score was slate-leading 0.777",
            "Recent active return was -3.24% after 2.95% prior strength",
            "Manufacturing PMI fell to 49.2"
          ],
          "excess_return_p10_pct": -3.8,
          "excess_return_p50_pct": 0.3,
          "excess_return_p90_pct": 4.5,
          "mechanism": "reversal",
          "option_id": "CHINA",
          "origin_lanes": [
            "shock_reversal",
            "quality_pullback"
          ],
          "p_beat_spy_pct": 54,
          "p_top3_pct": 28,
          "rank": 4,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "Recent active return was -2.58%",
            "Volatility was a relatively low 13.92%",
            "Quality evidence score was 0.613"
          ],
          "excess_return_p10_pct": -2.8,
          "excess_return_p50_pct": 0.1,
          "excess_return_p90_pct": 3.1,
          "mechanism": "reversal",
          "option_id": "MEXICO",
          "origin_lanes": [
            "shock_reversal"
          ],
          "p_beat_spy_pct": 52,
          "p_top3_pct": 22,
          "rank": 5,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "Prior active return was 12.99%",
            "Gold gained 10.08% over 21 sessions",
            "Silver volatility was elevated at 34.44%"
          ],
          "excess_return_p10_pct": -5,
          "excess_return_p50_pct": 0.1,
          "excess_return_p90_pct": 5.4,
          "mechanism": "continuation",
          "option_id": "SILVER",
          "origin_lanes": [
            "medium_strength"
          ],
          "p_beat_spy_pct": 51,
          "p_top3_pct": 21,
          "rank": 6,
          "recent_return_interpretation": "supported_continuation"
        },
        {
          "evidence": [
            "ISM manufacturing rose to 55.6",
            "Recent active return was 0.98%",
            "Volume z-score was -1.72"
          ],
          "excess_return_p10_pct": -2.5,
          "excess_return_p50_pct": 0.1,
          "excess_return_p90_pct": 2.8,
          "mechanism": "catalyst",
          "option_id": "INDUSTRIALS",
          "origin_lanes": [
            "volume_dislocation"
          ],
          "p_beat_spy_pct": 51,
          "p_top3_pct": 18,
          "rank": 7,
          "recent_return_interpretation": "no_edge"
        },
        {
          "evidence": [
            "Prior active return was 8.56%",
            "ISM manufacturing indicated expansion",
            "Volatility was very high at 43.84%"
          ],
          "excess_return_p10_pct": -6.4,
          "excess_return_p50_pct": 0,
          "excess_return_p90_pct": 6.6,
          "mechanism": "continuation",
          "option_id": "METALS_MINING",
          "origin_lanes": [
            "medium_strength"
          ],
          "p_beat_spy_pct": 50,
          "p_top3_pct": 18,
          "rank": 8,
          "recent_return_interpretation": "supported_continuation"
        },
        {
          "evidence": [
            "SPY is the scoring benchmark",
            "SPY gained 3.95% over 21 sessions",
            "SPY was 0.67% below its 52-week high"
          ],
          "excess_return_p10_pct": 0,
          "excess_return_p50_pct": 0,
          "excess_return_p90_pct": 0,
          "mechanism": "no_edge",
          "option_id": "SP500",
          "origin_lanes": [
            "benchmark"
          ],
          "p_beat_spy_pct": 50,
          "p_top3_pct": 17,
          "rank": 9,
          "recent_return_interpretation": "no_edge"
        },
        {
          "evidence": [
            "Recent active return was -1.07%",
            "Prior active return was also negative at -1.09%",
            "Volume z-score was -1.64"
          ],
          "excess_return_p10_pct": -2.5,
          "excess_return_p50_pct": -0.1,
          "excess_return_p90_pct": 2.3,
          "mechanism": "no_edge",
          "option_id": "INDIA",
          "origin_lanes": [
            "volume_dislocation"
          ],
          "p_beat_spy_pct": 48,
          "p_top3_pct": 14,
          "rank": 10,
          "recent_return_interpretation": "no_edge"
        },
        {
          "evidence": [
            "Recent active return was -3.42%",
            "Prior active return was also -4.40%",
            "Quality evidence score was only 0.454"
          ],
          "excess_return_p10_pct": -4,
          "excess_return_p50_pct": -0.3,
          "excess_return_p90_pct": 3.5,
          "mechanism": "no_edge",
          "option_id": "BRAZIL",
          "origin_lanes": [
            "shock_reversal"
          ],
          "p_beat_spy_pct": 46,
          "p_top3_pct": 12,
          "rank": 11,
          "recent_return_interpretation": "fundamental_deterioration"
        },
        {
          "evidence": [
            "Recent active return was 5.55%",
            "Prior active return was 0.98%",
            "Volatility was 40.96% with a 12.07% drawdown"
          ],
          "excess_return_p10_pct": -6.2,
          "excess_return_p50_pct": -0.5,
          "excess_return_p90_pct": 5.4,
          "mechanism": "continuation",
          "option_id": "TAIWAN",
          "origin_lanes": [
            "short_continuation"
          ],
          "p_beat_spy_pct": 45,
          "p_top3_pct": 11,
          "rank": 12,
          "recent_return_interpretation": "supported_continuation"
        },
        {
          "evidence": [
            "Recent active return surged 13.52% without briefing support",
            "Prior active return was -3.64%",
            "Volatility was 69.98% and quality score 0.149"
          ],
          "excess_return_p10_pct": -10.5,
          "excess_return_p50_pct": -1.5,
          "excess_return_p90_pct": 8,
          "mechanism": "no_edge",
          "option_id": "SOUTH_KOREA",
          "origin_lanes": [
            "short_continuation"
          ],
          "p_beat_spy_pct": 38,
          "p_top3_pct": 7,
          "rank": 13,
          "recent_return_interpretation": "no_edge"
        }
      ],
      "candidate_slate_option_ids": [
        "BRAZIL",
        "CHINA",
        "SOFTWARE",
        "CYBERSECURITY",
        "MEXICO",
        "SILVER",
        "METALS_MINING",
        "SOUTH_KOREA",
        "TAIWAN",
        "SOUTH_AFRICA",
        "INDUSTRIALS",
        "INDIA",
        "SP500"
      ],
      "confidence_derivation": "mean selected-active p_beat_spy_pct; 0.5 when all slots fall back to SPY",
      "deterministic_allocation": {
        "allocation_pct": {
          "CYBERSECURITY": 35,
          "SOFTWARE": 35,
          "SOUTH_AFRICA": 30
        },
        "benchmark_option_id": "SP500",
        "decisions": [
          {
            "eligible": true,
            "option_id": "SOFTWARE",
            "p_beat_spy_pct": 59,
            "rank": 1,
            "reason": "eligible",
            "recent_return_interpretation": "overreaction",
            "selected": true
          },
          {
            "eligible": true,
            "option_id": "CYBERSECURITY",
            "p_beat_spy_pct": 57,
            "rank": 2,
            "reason": "eligible",
            "recent_return_interpretation": "overreaction",
            "selected": true
          },
          {
            "eligible": true,
            "option_id": "SOUTH_AFRICA",
            "p_beat_spy_pct": 56,
            "rank": 3,
            "reason": "eligible",
            "recent_return_interpretation": "overreaction",
            "selected": true
          },
          {
            "eligible": false,
            "option_id": "CHINA",
            "p_beat_spy_pct": 54,
            "rank": 4,
            "reason": "below_probability_hurdle",
            "recent_return_interpretation": "overreaction",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "MEXICO",
            "p_beat_spy_pct": 52,
            "rank": 5,
            "reason": "below_probability_hurdle",
            "recent_return_interpretation": "overreaction",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "SILVER",
            "p_beat_spy_pct": 51,
            "rank": 6,
            "reason": "not_overreaction",
            "recent_return_interpretation": "supported_continuation",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "INDUSTRIALS",
            "p_beat_spy_pct": 51,
            "rank": 7,
            "reason": "not_overreaction",
            "recent_return_interpretation": "no_edge",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "METALS_MINING",
            "p_beat_spy_pct": 50,
            "rank": 8,
            "reason": "not_overreaction",
            "recent_return_interpretation": "supported_continuation",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "SP500",
            "p_beat_spy_pct": 50,
            "rank": 9,
            "reason": "benchmark_fallback",
            "recent_return_interpretation": "no_edge",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "INDIA",
            "p_beat_spy_pct": 48,
            "rank": 10,
            "reason": "not_overreaction",
            "recent_return_interpretation": "no_edge",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "BRAZIL",
            "p_beat_spy_pct": 46,
            "rank": 11,
            "reason": "not_overreaction",
            "recent_return_interpretation": "fundamental_deterioration",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "TAIWAN",
            "p_beat_spy_pct": 45,
            "rank": 12,
            "reason": "not_overreaction",
            "recent_return_interpretation": "supported_continuation",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "SOUTH_KOREA",
            "p_beat_spy_pct": 38,
            "rank": 13,
            "reason": "not_overreaction",
            "recent_return_interpretation": "no_edge",
            "selected": false
          }
        ],
        "methodology_version": "portfolio-v3.0",
        "minimum_beat_spy_probability_pct": 55,
        "selected_active_option_ids": [
          "SOFTWARE",
          "CYBERSECURITY",
          "SOUTH_AFRICA"
        ],
        "slot_weights_pct": [
          35,
          35,
          30
        ]
      },
      "dispersion_state": "normal",
      "dominant_pattern": "reversal",
      "market_rationale": "Breadth is positive but macro signals conflict: softer inflation supports risk assets while weak payrolls, retail sales, and consumer sentiment constrain cyclicals. High-quality pullbacks offer better one-week asymmetry than extended high-beta winners.",
      "methodology_version": "portfolio-v3.0",
      "prefer_spy": false,
      "top3_option_ids": [
        "SOFTWARE",
        "CYBERSECURITY",
        "SOUTH_AFRICA"
      ]
    }
  },
  "mode": "closed_capability",
  "model_id": "openai-gpt-5-6-sol",
  "portfolio": [
    {
      "allocation_pct": 35,
      "option_id": "SOFTWARE",
      "rationale": "V3 selected model rank 1: overreaction with 59% estimated probability of beating SPY."
    },
    {
      "allocation_pct": 35,
      "option_id": "CYBERSECURITY",
      "rationale": "V3 selected model rank 2: overreaction with 57% estimated probability of beating SPY."
    },
    {
      "allocation_pct": 30,
      "option_id": "SOUTH_AFRICA",
      "rationale": "V3 selected model rank 3: overreaction with 56% estimated probability of beating SPY."
    }
  ],
  "portfolio_rationale": "Software, cybersecurity, and South Africa combine strong prior relative trends with sharp recent pullbacks and high quality scores, creating the best reversal setups. China narrowly misses eligibility because contractionary manufacturing data weakens the overreaction case.",
  "provider": "openai",
  "rationale_summary": "Breadth is positive but macro signals conflict: softer inflation supports risk assets while weak payrolls, retail sales, and consumer sentiment constrain cyclicals. High-quality pullbacks offer better one-week asymmetry than extended high-beta winners.",
  "replicate_count": 1,
  "replicate_index": 1,
  "round_id": "CB-2026-08-18-1W",
  "run_type": "official",
  "usage": {
    "input_tokens": 16808,
    "latency_seconds": 22.275469207997958,
    "output_tokens": 1861,
    "reasoning_tokens": 0,
    "total_tokens": 18669
  }
}
xAI

Grok 4.3

xai-grok-4-3

3 holdings China Equities (MCHI)
China Equities (MCHI) 35% South Africa Equities (EZA) 35% Software (IGV) 30%
Confidence
0.58
Run Type
official
Rationale

Top ranks assigned to highest quality scores with recent pullbacks meeting overreaction criteria for potential one-week reversal.

Softening labor data and contained inflation create mixed signals with limited one-week edge outside quality pullbacks in low dispersion environment.

Portfolio
  • China Equities (MCHI): 35% - V3 selected model rank 1: overreaction with 62% estimated probability of beating SPY.
  • South Africa Equities (EZA): 35% - V3 selected model rank 2: overreaction with 58% estimated probability of beating SPY.
  • Software (IGV): 30% - V3 selected model rank 3: overreaction with 55% estimated probability of beating SPY.
Key Risks
  • Further labor market deterioration
  • Persistent inflation readings
  • Geopolitical escalation in Asia
Validated JSON
{
  "confidence": 0.5833,
  "is_official_score": true,
  "key_risks": [
    "Further labor market deterioration",
    "Persistent inflation readings",
    "Geopolitical escalation in Asia"
  ],
  "metadata": {
    "portfolio_v3": {
      "candidate_assessments": [
        {
          "evidence": [
            "High quality evidence score 0.777",
            "Recent active -3.24% after prior positive"
          ],
          "excess_return_p10_pct": -1.8,
          "excess_return_p50_pct": 1.1,
          "excess_return_p90_pct": 3.4,
          "mechanism": "reversal",
          "option_id": "CHINA",
          "origin_lanes": [
            "shock_reversal",
            "quality_pullback"
          ],
          "p_beat_spy_pct": 62,
          "p_top3_pct": 48,
          "rank": 1,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "Quality evidence score 0.772",
            "Recent active -2.16%"
          ],
          "excess_return_p10_pct": -1.5,
          "excess_return_p50_pct": 0.9,
          "excess_return_p90_pct": 3.1,
          "mechanism": "reversal",
          "option_id": "SOUTH_AFRICA",
          "origin_lanes": [
            "quality_pullback"
          ],
          "p_beat_spy_pct": 58,
          "p_top3_pct": 41,
          "rank": 2,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "Quality evidence score 0.772",
            "Recent active -2.83%"
          ],
          "excess_return_p10_pct": -2.4,
          "excess_return_p50_pct": 0.7,
          "excess_return_p90_pct": 3,
          "mechanism": "reversal",
          "option_id": "SOFTWARE",
          "origin_lanes": [
            "shock_reversal",
            "medium_strength",
            "quality_pullback"
          ],
          "p_beat_spy_pct": 55,
          "p_top3_pct": 37,
          "rank": 3,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "Quality evidence score 0.760",
            "Recent active -2.75%"
          ],
          "excess_return_p10_pct": -2.9,
          "excess_return_p50_pct": 0.3,
          "excess_return_p90_pct": 2.8,
          "mechanism": "reversal",
          "option_id": "CYBERSECURITY",
          "origin_lanes": [
            "shock_reversal"
          ],
          "p_beat_spy_pct": 48,
          "p_top3_pct": 29,
          "rank": 4,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "Low horizon vol 12.01%",
            "Recent active -1.07%"
          ],
          "excess_return_p10_pct": -1.9,
          "excess_return_p50_pct": 0.1,
          "excess_return_p90_pct": 2.1,
          "mechanism": "defensive",
          "option_id": "INDIA",
          "origin_lanes": [
            "volume_dislocation"
          ],
          "p_beat_spy_pct": 44,
          "p_top3_pct": 22,
          "rank": 5,
          "recent_return_interpretation": "no_edge"
        },
        {
          "evidence": [
            "Benchmark status",
            "Low vol 13.24%"
          ],
          "excess_return_p10_pct": -1.2,
          "excess_return_p50_pct": 0,
          "excess_return_p90_pct": 1.2,
          "mechanism": "no_edge",
          "option_id": "SP500",
          "origin_lanes": [
            "benchmark"
          ],
          "p_beat_spy_pct": 50,
          "p_top3_pct": 18,
          "rank": 6,
          "recent_return_interpretation": "no_edge"
        },
        {
          "evidence": [
            "Volume z -1.72",
            "Recent active 0.98%"
          ],
          "excess_return_p10_pct": -1.6,
          "excess_return_p50_pct": -0.1,
          "excess_return_p90_pct": 1.5,
          "mechanism": "defensive",
          "option_id": "INDUSTRIALS",
          "origin_lanes": [
            "volume_dislocation"
          ],
          "p_beat_spy_pct": 41,
          "p_top3_pct": 15,
          "rank": 7,
          "recent_return_interpretation": "no_edge"
        },
        {
          "evidence": [
            "Recent active -2.58%",
            "Low vol 13.92%"
          ],
          "excess_return_p10_pct": -2.1,
          "excess_return_p50_pct": -0.3,
          "excess_return_p90_pct": 1.6,
          "mechanism": "no_edge",
          "option_id": "MEXICO",
          "origin_lanes": [
            "shock_reversal"
          ],
          "p_beat_spy_pct": 39,
          "p_top3_pct": 12,
          "rank": 8,
          "recent_return_interpretation": "fundamental_deterioration"
        },
        {
          "evidence": [
            "Recent active -3.42%",
            "52w high distance -17.82%"
          ],
          "excess_return_p10_pct": -2.5,
          "excess_return_p50_pct": -0.4,
          "excess_return_p90_pct": 1.8,
          "mechanism": "no_edge",
          "option_id": "BRAZIL",
          "origin_lanes": [
            "shock_reversal"
          ],
          "p_beat_spy_pct": 37,
          "p_top3_pct": 11,
          "rank": 9,
          "recent_return_interpretation": "fundamental_deterioration"
        },
        {
          "evidence": [
            "Recent active 0.52%",
            "High vol 43.84%"
          ],
          "excess_return_p10_pct": -3.1,
          "excess_return_p50_pct": -0.6,
          "excess_return_p90_pct": 2.2,
          "mechanism": "continuation",
          "option_id": "METALS_MINING",
          "origin_lanes": [
            "medium_strength"
          ],
          "p_beat_spy_pct": 35,
          "p_top3_pct": 9,
          "rank": 10,
          "recent_return_interpretation": "supported_continuation"
        },
        {
          "evidence": [
            "Recent active 0.32%",
            "High vol 34.44%"
          ],
          "excess_return_p10_pct": -3.4,
          "excess_return_p50_pct": -0.8,
          "excess_return_p90_pct": 2.5,
          "mechanism": "continuation",
          "option_id": "SILVER",
          "origin_lanes": [
            "medium_strength"
          ],
          "p_beat_spy_pct": 33,
          "p_top3_pct": 8,
          "rank": 11,
          "recent_return_interpretation": "supported_continuation"
        },
        {
          "evidence": [
            "Recent active 5.55%",
            "High vol 40.96%"
          ],
          "excess_return_p10_pct": -3.8,
          "excess_return_p50_pct": -1,
          "excess_return_p90_pct": 2.3,
          "mechanism": "continuation",
          "option_id": "TAIWAN",
          "origin_lanes": [
            "short_continuation"
          ],
          "p_beat_spy_pct": 31,
          "p_top3_pct": 7,
          "rank": 12,
          "recent_return_interpretation": "supported_continuation"
        },
        {
          "evidence": [
            "Recent active 13.52%",
            "High vol 69.98%"
          ],
          "excess_return_p10_pct": -5.2,
          "excess_return_p50_pct": -1.5,
          "excess_return_p90_pct": 3.5,
          "mechanism": "continuation",
          "option_id": "SOUTH_KOREA",
          "origin_lanes": [
            "short_continuation"
          ],
          "p_beat_spy_pct": 28,
          "p_top3_pct": 6,
          "rank": 13,
          "recent_return_interpretation": "supported_continuation"
        }
      ],
      "candidate_slate_option_ids": [
        "BRAZIL",
        "CHINA",
        "SOFTWARE",
        "CYBERSECURITY",
        "MEXICO",
        "SILVER",
        "METALS_MINING",
        "SOUTH_KOREA",
        "TAIWAN",
        "SOUTH_AFRICA",
        "INDUSTRIALS",
        "INDIA",
        "SP500"
      ],
      "confidence_derivation": "mean selected-active p_beat_spy_pct; 0.5 when all slots fall back to SPY",
      "deterministic_allocation": {
        "allocation_pct": {
          "CHINA": 35,
          "SOFTWARE": 30,
          "SOUTH_AFRICA": 35
        },
        "benchmark_option_id": "SP500",
        "decisions": [
          {
            "eligible": true,
            "option_id": "CHINA",
            "p_beat_spy_pct": 62,
            "rank": 1,
            "reason": "eligible",
            "recent_return_interpretation": "overreaction",
            "selected": true
          },
          {
            "eligible": true,
            "option_id": "SOUTH_AFRICA",
            "p_beat_spy_pct": 58,
            "rank": 2,
            "reason": "eligible",
            "recent_return_interpretation": "overreaction",
            "selected": true
          },
          {
            "eligible": true,
            "option_id": "SOFTWARE",
            "p_beat_spy_pct": 55,
            "rank": 3,
            "reason": "eligible",
            "recent_return_interpretation": "overreaction",
            "selected": true
          },
          {
            "eligible": false,
            "option_id": "CYBERSECURITY",
            "p_beat_spy_pct": 48,
            "rank": 4,
            "reason": "below_probability_hurdle",
            "recent_return_interpretation": "overreaction",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "INDIA",
            "p_beat_spy_pct": 44,
            "rank": 5,
            "reason": "not_overreaction",
            "recent_return_interpretation": "no_edge",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "SP500",
            "p_beat_spy_pct": 50,
            "rank": 6,
            "reason": "benchmark_fallback",
            "recent_return_interpretation": "no_edge",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "INDUSTRIALS",
            "p_beat_spy_pct": 41,
            "rank": 7,
            "reason": "not_overreaction",
            "recent_return_interpretation": "no_edge",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "MEXICO",
            "p_beat_spy_pct": 39,
            "rank": 8,
            "reason": "not_overreaction",
            "recent_return_interpretation": "fundamental_deterioration",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "BRAZIL",
            "p_beat_spy_pct": 37,
            "rank": 9,
            "reason": "not_overreaction",
            "recent_return_interpretation": "fundamental_deterioration",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "METALS_MINING",
            "p_beat_spy_pct": 35,
            "rank": 10,
            "reason": "not_overreaction",
            "recent_return_interpretation": "supported_continuation",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "SILVER",
            "p_beat_spy_pct": 33,
            "rank": 11,
            "reason": "not_overreaction",
            "recent_return_interpretation": "supported_continuation",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "TAIWAN",
            "p_beat_spy_pct": 31,
            "rank": 12,
            "reason": "not_overreaction",
            "recent_return_interpretation": "supported_continuation",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "SOUTH_KOREA",
            "p_beat_spy_pct": 28,
            "rank": 13,
            "reason": "not_overreaction",
            "recent_return_interpretation": "supported_continuation",
            "selected": false
          }
        ],
        "methodology_version": "portfolio-v3.0",
        "minimum_beat_spy_probability_pct": 55,
        "selected_active_option_ids": [
          "CHINA",
          "SOUTH_AFRICA",
          "SOFTWARE"
        ],
        "slot_weights_pct": [
          35,
          35,
          30
        ]
      },
      "dispersion_state": "normal",
      "dominant_pattern": "mixed",
      "market_rationale": "Softening labor data and contained inflation create mixed signals with limited one-week edge outside quality pullbacks in low dispersion environment.",
      "methodology_version": "portfolio-v3.0",
      "prefer_spy": true,
      "top3_option_ids": [
        "CHINA",
        "SOUTH_AFRICA",
        "SOFTWARE"
      ]
    }
  },
  "mode": "closed_capability",
  "model_id": "xai-grok-4-3",
  "portfolio": [
    {
      "allocation_pct": 35,
      "option_id": "CHINA",
      "rationale": "V3 selected model rank 1: overreaction with 62% estimated probability of beating SPY."
    },
    {
      "allocation_pct": 35,
      "option_id": "SOUTH_AFRICA",
      "rationale": "V3 selected model rank 2: overreaction with 58% estimated probability of beating SPY."
    },
    {
      "allocation_pct": 30,
      "option_id": "SOFTWARE",
      "rationale": "V3 selected model rank 3: overreaction with 55% estimated probability of beating SPY."
    }
  ],
  "portfolio_rationale": "Top ranks assigned to highest quality scores with recent pullbacks meeting overreaction criteria for potential one-week reversal.",
  "provider": "xai",
  "rationale_summary": "Softening labor data and contained inflation create mixed signals with limited one-week edge outside quality pullbacks in low dispersion environment.",
  "replicate_count": 1,
  "replicate_index": 1,
  "round_id": "CB-2026-08-18-1W",
  "run_type": "official",
  "usage": {
    "input_tokens": 17029,
    "latency_seconds": 20.687389182006882,
    "output_tokens": 1784,
    "reasoning_tokens": 920,
    "total_tokens": 19733
  }
}
xAI

Grok 4.5

xai-grok-4-5

3 holdings China Equities (MCHI)
China Equities (MCHI) 35% Software (IGV) 35% Cybersecurity (CIBR) 30%
Confidence
0.57
Run Type
official
Rationale

Highest-conviction one-week edges are quality-supported pullbacks in China, software, and cybersecurity after sharp relative underperformance versus strong priors; other slate names either lack sufficient overreaction probability or carry excessive continuation/vol risk. Prefer SPY as base given low dispersion and benchmark proximity to highs, with only the top overreaction labels clearing the eligibility bar.

SPY near flat on the week with low 5s dispersion; soft July payrolls and retail sales contrast with still-elevated ISM prices and sticky core inflation while Fed remains on hold. Quality pullbacks in prior-strong tech/EM names offer selective reversal setups against a low-vol benchmark near highs; extreme high-beta continuations carry mean-reversion risk over one week.

Portfolio
  • China Equities (MCHI): 35% - V3 selected model rank 1: overreaction with 58% estimated probability of beating SPY.
  • Software (IGV): 35% - V3 selected model rank 2: overreaction with 57% estimated probability of beating SPY.
  • Cybersecurity (CIBR): 30% - V3 selected model rank 3: overreaction with 56% estimated probability of beating SPY.
Key Risks
  • Sticky ISM prices and still-elevated core inflation could reprice rate-cut odds and pressure growth/EM beta
  • Extreme vol and beta in Korea/Taiwan/semis-linked names risk sharp mean reversion if risk appetite fades
  • Soft retail sales and consumer sentiment may weigh on cyclicals and discretionary-linked EM
  • FOMC minutes and retail earnings (HD/TGT/WMT) this week can reverse short-term factor leadership
Validated JSON
{
  "confidence": 0.57,
  "is_official_score": true,
  "key_risks": [
    "Sticky ISM prices and still-elevated core inflation could reprice rate-cut odds and pressure growth/EM beta",
    "Extreme vol and beta in Korea/Taiwan/semis-linked names risk sharp mean reversion if risk appetite fades",
    "Soft retail sales and consumer sentiment may weigh on cyclicals and discretionary-linked EM",
    "FOMC minutes and retail earnings (HD/TGT/WMT) this week can reverse short-term factor leadership"
  ],
  "metadata": {
    "portfolio_v3": {
      "candidate_assessments": [
        {
          "evidence": [
            "Quality evidence score 0.777 with recent pullback rank 0.985 and strong prior active rank 0.866",
            "Active return 5s -3.24% after prior_16s_active +2.95%",
            "Official manufacturing PMI slipped to 49.2 while distance to 52w high remains -16.25%"
          ],
          "excess_return_p10_pct": -3.2,
          "excess_return_p50_pct": 0.7,
          "excess_return_p90_pct": 4.1,
          "mechanism": "reversal",
          "option_id": "CHINA",
          "origin_lanes": [
            "shock_reversal",
            "quality_pullback"
          ],
          "p_beat_spy_pct": 58,
          "p_top3_pct": 22,
          "rank": 1,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "Quality score 0.772 driven by prior active rank 0.985 and recent pullback rank 0.970",
            "Active 5s -2.83% after prior_16s_active +9.16%",
            "Horizon vol elevated at 35.11% with max drawdown -6.32%"
          ],
          "excess_return_p10_pct": -4.5,
          "excess_return_p50_pct": 0.6,
          "excess_return_p90_pct": 5,
          "mechanism": "reversal",
          "option_id": "SOFTWARE",
          "origin_lanes": [
            "shock_reversal",
            "medium_strength",
            "quality_pullback"
          ],
          "p_beat_spy_pct": 57,
          "p_top3_pct": 20,
          "rank": 2,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "Quality score 0.760 with prior active rank 0.925 and pullback rank 0.955",
            "Recent return -2.59% and active 5s -2.75% after prior +5.48%",
            "Closer to 52w high (-4.32%) than many peers with moderate volume z 0.12"
          ],
          "excess_return_p10_pct": -4,
          "excess_return_p50_pct": 0.5,
          "excess_return_p90_pct": 4.6,
          "mechanism": "reversal",
          "option_id": "CYBERSECURITY",
          "origin_lanes": [
            "shock_reversal"
          ],
          "p_beat_spy_pct": 56,
          "p_top3_pct": 18,
          "rank": 3,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "Quality score 0.772 with prior active rank 0.955 and pullback rank 0.910",
            "Active 5s -2.16% after strong prior_16s_active +7.82%",
            "Horizon vol 28.21% and SPY beta 1.56"
          ],
          "excess_return_p10_pct": -3.8,
          "excess_return_p50_pct": 0.35,
          "excess_return_p90_pct": 4.2,
          "mechanism": "reversal",
          "option_id": "SOUTH_AFRICA",
          "origin_lanes": [
            "quality_pullback"
          ],
          "p_beat_spy_pct": 54,
          "p_top3_pct": 14,
          "rank": 4,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "Recent return -2.03% and active 5s -2.58% with pullback rank 0.940",
            "Quality score 0.613 and relatively contained vol 13.92%",
            "Distance to 52w high -6.42%"
          ],
          "excess_return_p10_pct": -2.8,
          "excess_return_p50_pct": 0.3,
          "excess_return_p90_pct": 3.2,
          "mechanism": "reversal",
          "option_id": "MEXICO",
          "origin_lanes": [
            "shock_reversal"
          ],
          "p_beat_spy_pct": 53,
          "p_top3_pct": 12,
          "rank": 5,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "Recent active -3.42% with pullback rank 1.000 but weaker prior active rank 0.209",
            "Quality score only 0.454 and max drawdown -7.86%",
            "Still -17.82% from 52w high"
          ],
          "excess_return_p10_pct": -3.5,
          "excess_return_p50_pct": 0.25,
          "excess_return_p90_pct": 3.8,
          "mechanism": "reversal",
          "option_id": "BRAZIL",
          "origin_lanes": [
            "shock_reversal"
          ],
          "p_beat_spy_pct": 52,
          "p_top3_pct": 11,
          "rank": 6,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "Volume z -1.72 indicating dislocation while price near 52w high (-0.10%)",
            "Active 5s +0.98% with ISM manufacturing PMI at 55.6",
            "Quality score modest at 0.411"
          ],
          "excess_return_p10_pct": -2,
          "excess_return_p50_pct": 0.15,
          "excess_return_p90_pct": 2.3,
          "mechanism": "continuation",
          "option_id": "INDUSTRIALS",
          "origin_lanes": [
            "volume_dislocation"
          ],
          "p_beat_spy_pct": 51,
          "p_top3_pct": 10,
          "rank": 7,
          "recent_return_interpretation": "supported_continuation"
        },
        {
          "evidence": [
            "Prior active rank 1.000 and prior_16s_active +12.99%",
            "Recent active only +0.32% with quality score 0.640",
            "High vol 34.44% and deep -43.59% from 52w high"
          ],
          "excess_return_p10_pct": -5.5,
          "excess_return_p50_pct": 0.2,
          "excess_return_p90_pct": 5.8,
          "mechanism": "continuation",
          "option_id": "SILVER",
          "origin_lanes": [
            "medium_strength"
          ],
          "p_beat_spy_pct": 50,
          "p_top3_pct": 13,
          "rank": 8,
          "recent_return_interpretation": "supported_continuation"
        },
        {
          "evidence": [
            "Prior active rank 0.970 and prior_16s_active +8.56%",
            "Recent active +0.52% with quality 0.584",
            "Very high horizon vol 43.84%"
          ],
          "excess_return_p10_pct": -5,
          "excess_return_p50_pct": 0.1,
          "excess_return_p90_pct": 5.5,
          "mechanism": "continuation",
          "option_id": "METALS_MINING",
          "origin_lanes": [
            "medium_strength"
          ],
          "p_beat_spy_pct": 49,
          "p_top3_pct": 12,
          "rank": 9,
          "recent_return_interpretation": "supported_continuation"
        },
        {
          "evidence": [
            "Volume z -1.64 with active 5s -1.07% and quality 0.654",
            "Lower vol 12.01% and shallow drawdown -2.62%",
            "Distance to 52w high -10.33%"
          ],
          "excess_return_p10_pct": -2.2,
          "excess_return_p50_pct": 0,
          "excess_return_p90_pct": 2.1,
          "mechanism": "defensive",
          "option_id": "INDIA",
          "origin_lanes": [
            "volume_dislocation"
          ],
          "p_beat_spy_pct": 48,
          "p_top3_pct": 8,
          "rank": 10,
          "recent_return_interpretation": "no_edge"
        },
        {
          "evidence": [
            "Active 5s +5.55% and recent return +1.53% with prior modest +0.98%",
            "High beta 2.46 and vol 40.96% with max DD -12.07%",
            "Quality score only 0.383"
          ],
          "excess_return_p10_pct": -6,
          "excess_return_p50_pct": -0.2,
          "excess_return_p90_pct": 5.5,
          "mechanism": "continuation",
          "option_id": "TAIWAN",
          "origin_lanes": [
            "short_continuation"
          ],
          "p_beat_spy_pct": 47,
          "p_top3_pct": 15,
          "rank": 11,
          "recent_return_interpretation": "supported_continuation"
        },
        {
          "evidence": [
            "Extreme active 5s +13.52% and recent +5.25% after prior -3.64%",
            "Horizon vol 69.98%, beta 3.90, max DD -17.05%",
            "Quality score very low at 0.149"
          ],
          "excess_return_p10_pct": -10,
          "excess_return_p50_pct": -0.8,
          "excess_return_p90_pct": 8.5,
          "mechanism": "continuation",
          "option_id": "SOUTH_KOREA",
          "origin_lanes": [
            "short_continuation"
          ],
          "p_beat_spy_pct": 42,
          "p_top3_pct": 16,
          "rank": 12,
          "recent_return_interpretation": "supported_continuation"
        },
        {
          "evidence": [
            "Benchmark with 5s return near flat and 21s +3.95%",
            "Distance to 52w high only -0.67% with vol 13.24%",
            "Positive asset share 5s 59% and dispersion 2.37%"
          ],
          "excess_return_p10_pct": 0,
          "excess_return_p50_pct": 0,
          "excess_return_p90_pct": 0,
          "mechanism": "no_edge",
          "option_id": "SP500",
          "origin_lanes": [
            "benchmark"
          ],
          "p_beat_spy_pct": 0,
          "p_top3_pct": 5,
          "rank": 13,
          "recent_return_interpretation": "no_edge"
        }
      ],
      "candidate_slate_option_ids": [
        "BRAZIL",
        "CHINA",
        "SOFTWARE",
        "CYBERSECURITY",
        "MEXICO",
        "SILVER",
        "METALS_MINING",
        "SOUTH_KOREA",
        "TAIWAN",
        "SOUTH_AFRICA",
        "INDUSTRIALS",
        "INDIA",
        "SP500"
      ],
      "confidence_derivation": "mean selected-active p_beat_spy_pct; 0.5 when all slots fall back to SPY",
      "deterministic_allocation": {
        "allocation_pct": {
          "CHINA": 35,
          "CYBERSECURITY": 30,
          "SOFTWARE": 35
        },
        "benchmark_option_id": "SP500",
        "decisions": [
          {
            "eligible": true,
            "option_id": "CHINA",
            "p_beat_spy_pct": 58,
            "rank": 1,
            "reason": "eligible",
            "recent_return_interpretation": "overreaction",
            "selected": true
          },
          {
            "eligible": true,
            "option_id": "SOFTWARE",
            "p_beat_spy_pct": 57,
            "rank": 2,
            "reason": "eligible",
            "recent_return_interpretation": "overreaction",
            "selected": true
          },
          {
            "eligible": true,
            "option_id": "CYBERSECURITY",
            "p_beat_spy_pct": 56,
            "rank": 3,
            "reason": "eligible",
            "recent_return_interpretation": "overreaction",
            "selected": true
          },
          {
            "eligible": false,
            "option_id": "SOUTH_AFRICA",
            "p_beat_spy_pct": 54,
            "rank": 4,
            "reason": "below_probability_hurdle",
            "recent_return_interpretation": "overreaction",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "MEXICO",
            "p_beat_spy_pct": 53,
            "rank": 5,
            "reason": "below_probability_hurdle",
            "recent_return_interpretation": "overreaction",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "BRAZIL",
            "p_beat_spy_pct": 52,
            "rank": 6,
            "reason": "below_probability_hurdle",
            "recent_return_interpretation": "overreaction",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "INDUSTRIALS",
            "p_beat_spy_pct": 51,
            "rank": 7,
            "reason": "not_overreaction",
            "recent_return_interpretation": "supported_continuation",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "SILVER",
            "p_beat_spy_pct": 50,
            "rank": 8,
            "reason": "not_overreaction",
            "recent_return_interpretation": "supported_continuation",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "METALS_MINING",
            "p_beat_spy_pct": 49,
            "rank": 9,
            "reason": "not_overreaction",
            "recent_return_interpretation": "supported_continuation",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "INDIA",
            "p_beat_spy_pct": 48,
            "rank": 10,
            "reason": "not_overreaction",
            "recent_return_interpretation": "no_edge",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "TAIWAN",
            "p_beat_spy_pct": 47,
            "rank": 11,
            "reason": "not_overreaction",
            "recent_return_interpretation": "supported_continuation",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "SOUTH_KOREA",
            "p_beat_spy_pct": 42,
            "rank": 12,
            "reason": "not_overreaction",
            "recent_return_interpretation": "supported_continuation",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "SP500",
            "p_beat_spy_pct": 0,
            "rank": 13,
            "reason": "benchmark_fallback",
            "recent_return_interpretation": "no_edge",
            "selected": false
          }
        ],
        "methodology_version": "portfolio-v3.0",
        "minimum_beat_spy_probability_pct": 55,
        "selected_active_option_ids": [
          "CHINA",
          "SOFTWARE",
          "CYBERSECURITY"
        ],
        "slot_weights_pct": [
          35,
          35,
          30
        ]
      },
      "dispersion_state": "normal",
      "dominant_pattern": "mixed",
      "market_rationale": "SPY near flat on the week with low 5s dispersion; soft July payrolls and retail sales contrast with still-elevated ISM prices and sticky core inflation while Fed remains on hold. Quality pullbacks in prior-strong tech/EM names offer selective reversal setups against a low-vol benchmark near highs; extreme high-beta continuations carry mean-reversion risk over one week.",
      "methodology_version": "portfolio-v3.0",
      "prefer_spy": true,
      "top3_option_ids": [
        "CHINA",
        "SOFTWARE",
        "CYBERSECURITY"
      ]
    }
  },
  "mode": "closed_capability",
  "model_id": "xai-grok-4-5",
  "portfolio": [
    {
      "allocation_pct": 35,
      "option_id": "CHINA",
      "rationale": "V3 selected model rank 1: overreaction with 58% estimated probability of beating SPY."
    },
    {
      "allocation_pct": 35,
      "option_id": "SOFTWARE",
      "rationale": "V3 selected model rank 2: overreaction with 57% estimated probability of beating SPY."
    },
    {
      "allocation_pct": 30,
      "option_id": "CYBERSECURITY",
      "rationale": "V3 selected model rank 3: overreaction with 56% estimated probability of beating SPY."
    }
  ],
  "portfolio_rationale": "Highest-conviction one-week edges are quality-supported pullbacks in China, software, and cybersecurity after sharp relative underperformance versus strong priors; other slate names either lack sufficient overreaction probability or carry excessive continuation/vol risk. Prefer SPY as base given low dispersion and benchmark proximity to highs, with only the top overreaction labels clearing the eligibility bar.",
  "provider": "xai",
  "rationale_summary": "SPY near flat on the week with low 5s dispersion; soft July payrolls and retail sales contrast with still-elevated ISM prices and sticky core inflation while Fed remains on hold. Quality pullbacks in prior-strong tech/EM names offer selective reversal setups against a low-vol benchmark near highs; extreme high-beta continuations carry mean-reversion risk over one week.",
  "replicate_count": 1,
  "replicate_index": 1,
  "round_id": "CB-2026-08-18-1W",
  "run_type": "official",
  "usage": {
    "input_tokens": 18061,
    "latency_seconds": 51.98903009400237,
    "output_tokens": 2968,
    "reasoning_tokens": 343,
    "total_tokens": 21372
  }
}
xAI

Grok 4.6

xai-grok-4-6

3 holdings China Equities (MCHI)
China Equities (MCHI) 35% Software (IGV) 35% Cybersecurity (CIBR) 30%
Confidence
0.56
Run Type
official
Rationale

The cleanest one-week edges are quality pullbacks in China, software, and cybersecurity after sharp 5-session underperformance against still-positive prior trends. Those three are the only slate names that combine an overreaction read with at least a 55% chance of beating SPY. High-vol Asia continuations and metals strength look more like already-used momentum than reliable weekly excess, so the diagnostic preference remains the benchmark if those reversal labels fail.

SPY is within 1% of its 52-week high after a flat 5-session return while 5-session active-return dispersion is only 2.37%. Soft July payrolls and retail sales sit against still-elevated inflation, a hold-from-the-FOMC, and a dense in-window data/earnings calendar, so one-week outcomes look mixed rather than a clean continuation or broad reversal.

Portfolio
  • China Equities (MCHI): 35% - V3 selected model rank 1: overreaction with 58% estimated probability of beating SPY.
  • Software (IGV): 35% - V3 selected model rank 2: overreaction with 56% estimated probability of beating SPY.
  • Cybersecurity (CIBR): 30% - V3 selected model rank 3: overreaction with 55% estimated probability of beating SPY.
Key Risks
  • August 19 FOMC minutes could reprice the still-elevated inflation / 9-3 hold setup and lift SPY relative to EM and high-beta tech.
  • China PMI already contracted in July, so the MCHI dip may be fundamental rather than a tradable overreaction.
  • Software and cybersecurity betas above 1.2 can extend the drawdown if retail earnings or housing data weaken US risk appetite.
  • South Korea and Taiwan residual volatility can spill into broader EM/tech risk even if they are not held.
Validated JSON
{
  "confidence": 0.5633,
  "is_official_score": true,
  "key_risks": [
    "August 19 FOMC minutes could reprice the still-elevated inflation / 9-3 hold setup and lift SPY relative to EM and high-beta tech.",
    "China PMI already contracted in July, so the MCHI dip may be fundamental rather than a tradable overreaction.",
    "Software and cybersecurity betas above 1.2 can extend the drawdown if retail earnings or housing data weaken US risk appetite.",
    "South Korea and Taiwan residual volatility can spill into broader EM/tech risk even if they are not held."
  ],
  "metadata": {
    "portfolio_v3": {
      "candidate_assessments": [
        {
          "evidence": [
            "Quality evidence score 0.777 with recent-pullback rank 0.985 after a -3.24% 5-session active return versus +2.95% prior active.",
            "Official July manufacturing PMI fell to 49.2 with new orders 48.5, a known but already-printed growth soft patch.",
            "SPY beta 0.61 and 52-week distance -16.25% leave room for a one-week mean-reversion bounce without requiring a US-beta surge."
          ],
          "excess_return_p10_pct": -3.2,
          "excess_return_p50_pct": 0.4,
          "excess_return_p90_pct": 3.6,
          "mechanism": "reversal",
          "option_id": "CHINA",
          "origin_lanes": [
            "shock_reversal",
            "quality_pullback"
          ],
          "p_beat_spy_pct": 58,
          "p_top3_pct": 22,
          "rank": 1,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "Prior 16-session active return +9.16% then a -2.83% 5-session active pullback with quality score 0.772.",
            "Horizon vol 35.11% and beta 1.23 make a snapback possible but noisy versus SPY.",
            "No software-specific in-window catalyst is supplied beyond the general US data/earnings calendar."
          ],
          "excess_return_p10_pct": -4,
          "excess_return_p50_pct": 0.35,
          "excess_return_p90_pct": 4.2,
          "mechanism": "reversal",
          "option_id": "SOFTWARE",
          "origin_lanes": [
            "shock_reversal",
            "medium_strength",
            "quality_pullback"
          ],
          "p_beat_spy_pct": 56,
          "p_top3_pct": 20,
          "rank": 2,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "Recent active return -2.75% after +5.48% prior active, quality score 0.760 and recent-pullback rank 0.955.",
            "Only -4.32% from the 52-week high, so the dip is a short shock rather than a deep structural break.",
            "Beta 1.29 versus SPY raises the chance the bounce fails if US risk appetite fades into FOMC minutes."
          ],
          "excess_return_p10_pct": -3.6,
          "excess_return_p50_pct": 0.3,
          "excess_return_p90_pct": 3.8,
          "mechanism": "reversal",
          "option_id": "CYBERSECURITY",
          "origin_lanes": [
            "shock_reversal"
          ],
          "p_beat_spy_pct": 55,
          "p_top3_pct": 18,
          "rank": 3,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "Quality score 0.772 with prior active +7.82% and a milder -2.16% 5-session active pullback.",
            "Beta 1.56 and vol 28.21% keep one-week excess return wide versus SPY.",
            "No South Africa-specific catalyst is in the briefing through August 25."
          ],
          "excess_return_p10_pct": -3.4,
          "excess_return_p50_pct": 0.15,
          "excess_return_p90_pct": 3.5,
          "mechanism": "reversal",
          "option_id": "SOUTH_AFRICA",
          "origin_lanes": [
            "quality_pullback"
          ],
          "p_beat_spy_pct": 52,
          "p_top3_pct": 14,
          "rank": 4,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "5-session active return -2.58% with recent-pullback rank 0.940 and comparatively low 13.92% horizon vol.",
            "Quality score 0.613 is mid-pack versus China/software/cyber.",
            "SPY corr 0.56 and no Mexico-specific in-window news limit conviction above a coin-flip."
          ],
          "excess_return_p10_pct": -2.4,
          "excess_return_p50_pct": 0.1,
          "excess_return_p90_pct": 2.6,
          "mechanism": "reversal",
          "option_id": "MEXICO",
          "origin_lanes": [
            "shock_reversal"
          ],
          "p_beat_spy_pct": 51,
          "p_top3_pct": 12,
          "rank": 5,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "Largest recent-pullback rank (1.000) after -3.42% 5-session active and -4.40% prior active.",
            "Weekly return already +0.32%, so some bounce may have started before entry.",
            "Quality score only 0.454 with drawdown -7.86% and commodity/EM sensitivity."
          ],
          "excess_return_p10_pct": -3,
          "excess_return_p50_pct": 0,
          "excess_return_p90_pct": 3.1,
          "mechanism": "reversal",
          "option_id": "BRAZIL",
          "origin_lanes": [
            "shock_reversal"
          ],
          "p_beat_spy_pct": 48,
          "p_top3_pct": 10,
          "rank": 6,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "Volume z -1.64 with only a modest -1.07% 5-session active return and low 12.01% vol.",
            "Quality score 0.654 but both recent and prior active returns are slightly negative.",
            "No India-specific catalyst is supplied inside the weekly window."
          ],
          "excess_return_p10_pct": -2,
          "excess_return_p50_pct": -0.1,
          "excess_return_p90_pct": 1.8,
          "mechanism": "no_edge",
          "option_id": "INDIA",
          "origin_lanes": [
            "volume_dislocation"
          ],
          "p_beat_spy_pct": 46,
          "p_top3_pct": 8,
          "rank": 7,
          "recent_return_interpretation": "no_edge"
        },
        {
          "evidence": [
            "Volume z -1.72 is the slate's most extreme dislocation, but 5-session active is already +0.98%.",
            "Price is only -0.10% from the 52-week high, leaving little unused upside versus SPY.",
            "ISM manufacturing 55.6 is already printed and does not create a fresh one-week catalyst."
          ],
          "excess_return_p10_pct": -1.8,
          "excess_return_p50_pct": -0.05,
          "excess_return_p90_pct": 1.6,
          "mechanism": "no_edge",
          "option_id": "INDUSTRIALS",
          "origin_lanes": [
            "volume_dislocation"
          ],
          "p_beat_spy_pct": 45,
          "p_top3_pct": 8,
          "rank": 8,
          "recent_return_interpretation": "no_edge"
        },
        {
          "evidence": [
            "5-session return -0.05% and 21-session +3.95% with the index only -0.67% from the 52-week high.",
            "In-window events include FOMC minutes, retail earnings, and housing/industrial data that can move the benchmark itself.",
            "Equal-weight minus SPY is +0.31% over 5 sessions, showing only mild breadth, not a breakdown."
          ],
          "excess_return_p10_pct": 0,
          "excess_return_p50_pct": 0,
          "excess_return_p90_pct": 0,
          "mechanism": "no_edge",
          "option_id": "SP500",
          "origin_lanes": [
            "benchmark"
          ],
          "p_beat_spy_pct": 0,
          "p_top3_pct": 15,
          "rank": 9,
          "recent_return_interpretation": "no_edge"
        },
        {
          "evidence": [
            "Prior active +12.99% with still-positive 5-session active +0.32% and quality 0.640.",
            "Distance to 52-week high is -43.59%, so the medium-horizon trend is not a near-high squeeze.",
            "Horizon vol 34.44% and beta 1.88 make one-week excess versus SPY highly uncertain."
          ],
          "excess_return_p10_pct": -4.5,
          "excess_return_p50_pct": -0.1,
          "excess_return_p90_pct": 4.8,
          "mechanism": "continuation",
          "option_id": "SILVER",
          "origin_lanes": [
            "medium_strength"
          ],
          "p_beat_spy_pct": 44,
          "p_top3_pct": 11,
          "rank": 10,
          "recent_return_interpretation": "supported_continuation"
        },
        {
          "evidence": [
            "Prior active +8.56% and 5-session active still +0.52% with quality 0.584.",
            "Horizon vol 43.84% and volume z -1.08 show a strong but thinning tape.",
            "Brent near $91 is a commodity tailwind already in the price, not a new weekly catalyst."
          ],
          "excess_return_p10_pct": -4.8,
          "excess_return_p50_pct": -0.15,
          "excess_return_p90_pct": 4.6,
          "mechanism": "continuation",
          "option_id": "METALS_MINING",
          "origin_lanes": [
            "medium_strength"
          ],
          "p_beat_spy_pct": 43,
          "p_top3_pct": 10,
          "rank": 11,
          "recent_return_interpretation": "supported_continuation"
        },
        {
          "evidence": [
            "5-session active +5.55% after +0.98% prior active, a short-horizon continuation.",
            "Vol 40.96%, beta 2.46, and volume z -1.36 raise fade risk after the burst.",
            "Quality score only 0.383 with recent-pullback rank 0.015."
          ],
          "excess_return_p10_pct": -5,
          "excess_return_p50_pct": -0.2,
          "excess_return_p90_pct": 4.4,
          "mechanism": "continuation",
          "option_id": "TAIWAN",
          "origin_lanes": [
            "short_continuation"
          ],
          "p_beat_spy_pct": 42,
          "p_top3_pct": 12,
          "rank": 12,
          "recent_return_interpretation": "supported_continuation"
        },
        {
          "evidence": [
            "5-session active +13.52% with horizon vol 69.98%, max drawdown -17.05%, and beta 3.90.",
            "Quality evidence score 0.149 is the weakest on the slate.",
            "A one-week continuation after that magnitude is more lottery than edge versus SPY."
          ],
          "excess_return_p10_pct": -8.5,
          "excess_return_p50_pct": -0.8,
          "excess_return_p90_pct": 6.5,
          "mechanism": "no_edge",
          "option_id": "SOUTH_KOREA",
          "origin_lanes": [
            "short_continuation"
          ],
          "p_beat_spy_pct": 35,
          "p_top3_pct": 9,
          "rank": 13,
          "recent_return_interpretation": "no_edge"
        }
      ],
      "candidate_slate_option_ids": [
        "BRAZIL",
        "CHINA",
        "SOFTWARE",
        "CYBERSECURITY",
        "MEXICO",
        "SILVER",
        "METALS_MINING",
        "SOUTH_KOREA",
        "TAIWAN",
        "SOUTH_AFRICA",
        "INDUSTRIALS",
        "INDIA",
        "SP500"
      ],
      "confidence_derivation": "mean selected-active p_beat_spy_pct; 0.5 when all slots fall back to SPY",
      "deterministic_allocation": {
        "allocation_pct": {
          "CHINA": 35,
          "CYBERSECURITY": 30,
          "SOFTWARE": 35
        },
        "benchmark_option_id": "SP500",
        "decisions": [
          {
            "eligible": true,
            "option_id": "CHINA",
            "p_beat_spy_pct": 58,
            "rank": 1,
            "reason": "eligible",
            "recent_return_interpretation": "overreaction",
            "selected": true
          },
          {
            "eligible": true,
            "option_id": "SOFTWARE",
            "p_beat_spy_pct": 56,
            "rank": 2,
            "reason": "eligible",
            "recent_return_interpretation": "overreaction",
            "selected": true
          },
          {
            "eligible": true,
            "option_id": "CYBERSECURITY",
            "p_beat_spy_pct": 55,
            "rank": 3,
            "reason": "eligible",
            "recent_return_interpretation": "overreaction",
            "selected": true
          },
          {
            "eligible": false,
            "option_id": "SOUTH_AFRICA",
            "p_beat_spy_pct": 52,
            "rank": 4,
            "reason": "below_probability_hurdle",
            "recent_return_interpretation": "overreaction",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "MEXICO",
            "p_beat_spy_pct": 51,
            "rank": 5,
            "reason": "below_probability_hurdle",
            "recent_return_interpretation": "overreaction",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "BRAZIL",
            "p_beat_spy_pct": 48,
            "rank": 6,
            "reason": "below_probability_hurdle",
            "recent_return_interpretation": "overreaction",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "INDIA",
            "p_beat_spy_pct": 46,
            "rank": 7,
            "reason": "not_overreaction",
            "recent_return_interpretation": "no_edge",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "INDUSTRIALS",
            "p_beat_spy_pct": 45,
            "rank": 8,
            "reason": "not_overreaction",
            "recent_return_interpretation": "no_edge",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "SP500",
            "p_beat_spy_pct": 0,
            "rank": 9,
            "reason": "benchmark_fallback",
            "recent_return_interpretation": "no_edge",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "SILVER",
            "p_beat_spy_pct": 44,
            "rank": 10,
            "reason": "not_overreaction",
            "recent_return_interpretation": "supported_continuation",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "METALS_MINING",
            "p_beat_spy_pct": 43,
            "rank": 11,
            "reason": "not_overreaction",
            "recent_return_interpretation": "supported_continuation",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "TAIWAN",
            "p_beat_spy_pct": 42,
            "rank": 12,
            "reason": "not_overreaction",
            "recent_return_interpretation": "supported_continuation",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "SOUTH_KOREA",
            "p_beat_spy_pct": 35,
            "rank": 13,
            "reason": "not_overreaction",
            "recent_return_interpretation": "no_edge",
            "selected": false
          }
        ],
        "methodology_version": "portfolio-v3.0",
        "minimum_beat_spy_probability_pct": 55,
        "selected_active_option_ids": [
          "CHINA",
          "SOFTWARE",
          "CYBERSECURITY"
        ],
        "slot_weights_pct": [
          35,
          35,
          30
        ]
      },
      "dispersion_state": "normal",
      "dominant_pattern": "mixed",
      "market_rationale": "SPY is within 1% of its 52-week high after a flat 5-session return while 5-session active-return dispersion is only 2.37%. Soft July payrolls and retail sales sit against still-elevated inflation, a hold-from-the-FOMC, and a dense in-window data/earnings calendar, so one-week outcomes look mixed rather than a clean continuation or broad reversal.",
      "methodology_version": "portfolio-v3.0",
      "prefer_spy": true,
      "top3_option_ids": [
        "CHINA",
        "SOFTWARE",
        "CYBERSECURITY"
      ]
    }
  },
  "mode": "closed_capability",
  "model_id": "xai-grok-4-6",
  "portfolio": [
    {
      "allocation_pct": 35,
      "option_id": "CHINA",
      "rationale": "V3 selected model rank 1: overreaction with 58% estimated probability of beating SPY."
    },
    {
      "allocation_pct": 35,
      "option_id": "SOFTWARE",
      "rationale": "V3 selected model rank 2: overreaction with 56% estimated probability of beating SPY."
    },
    {
      "allocation_pct": 30,
      "option_id": "CYBERSECURITY",
      "rationale": "V3 selected model rank 3: overreaction with 55% estimated probability of beating SPY."
    }
  ],
  "portfolio_rationale": "The cleanest one-week edges are quality pullbacks in China, software, and cybersecurity after sharp 5-session underperformance against still-positive prior trends. Those three are the only slate names that combine an overreaction read with at least a 55% chance of beating SPY. High-vol Asia continuations and metals strength look more like already-used momentum than reliable weekly excess, so the diagnostic preference remains the benchmark if those reversal labels fail.",
  "provider": "xai",
  "rationale_summary": "SPY is within 1% of its 52-week high after a flat 5-session return while 5-session active-return dispersion is only 2.37%. Soft July payrolls and retail sales sit against still-elevated inflation, a hold-from-the-FOMC, and a dense in-window data/earnings calendar, so one-week outcomes look mixed rather than a clean continuation or broad reversal.",
  "replicate_count": 1,
  "replicate_index": 1,
  "round_id": "CB-2026-08-18-1W",
  "run_type": "official",
  "usage": {
    "input_tokens": 17773,
    "latency_seconds": 52.65260577600566,
    "output_tokens": 2771,
    "reasoning_tokens": 511,
    "total_tokens": 21055
  }
}
Public model run

Model Portfolios

This round used the portfolio format. The weights below are the submitted model portfolios. Expand a row to inspect rationale and risk lists without crowding the main table.

ModelProviderPortfolioConfidenceProtocol
Claude Fable 5
anthropic-claude-fable-5
Anthropic
Software (IGV)35%Cybersecurity (CIBR)35%South Africa Equities (EZA)30%
0.58
Portfolio round
Claude Opus 4.8
anthropic-claude-opus-4-8
Anthropic
S&P 500 (SPY)100%
0.50
Portfolio round
Claude Opus 5
anthropic-claude-opus-5
Anthropic
Software (IGV)35%Cybersecurity (CIBR)35%South Africa Equities (EZA)30%
0.57
Portfolio round
Gemini 3.1 Pro
google-gemini-3-1-pro
Google
Software (IGV)35%Cybersecurity (CIBR)35%China Equities (MCHI)30%
0.58
Portfolio round
GPT-5.6 Sol
openai-gpt-5-6-sol
OpenAI
Software (IGV)35%Cybersecurity (CIBR)35%South Africa Equities (EZA)30%
0.57
Portfolio round
Grok 4.3
xai-grok-4-3
xAI
China Equities (MCHI)35%South Africa Equities (EZA)35%Software (IGV)30%
0.58
Portfolio round
Grok 4.5
xai-grok-4-5
xAI
China Equities (MCHI)35%Software (IGV)35%Cybersecurity (CIBR)30%
0.57
Portfolio round
Grok 4.6
xai-grok-4-6
xAI
China Equities (MCHI)35%Software (IGV)35%Cybersecurity (CIBR)30%
0.56
Portfolio round
Pricing

Starting Prices

Ending prices are intentionally absent until the round is complete.

No pricing rows are published yet.

Audit

Published Hashes

Round inputs are hashed before model calls and mirrored into the public read model.

briefing.md
4edaec8125fd...4a82ef11
manifest.yaml
1bf4903ebbfc...ed41dfb3
market_data/decision_context_source_history.json
8ba17119637e...982f49da
market_data/universe_decision_context.csv
32a1b37ad249...a23af781
market_data/universe_decision_context.json
5783dbec7eaa...50e62d29
market_data/universe_decision_context.md
fe3a7e5a854d...615a10b3
market_data/universe_quality_evidence.json
20ce1e078bc5...7e6363bf
market_data/universe_quality_evidence.md
5e67a40cc97c...4f291b5e
options.yaml
1003c5795615...4ce0c729
prompt.md
c86dfbb217e0...c2230431
submission_schema.json
fb15e640b97f...2e10166d