Round audit packet

CB-2026-09-01-1W

Weekly round one week

One-week market allocation evaluation round.

Test CB-2026-09-01-1W pending
Portfolios Frozen By 2026-09-02
Start Date 2026-09-02
End Date 2026-09-10
Run ID official-v3-20260901-weekly
  1. 1 Inputs saved

    11 public audit hashes are available.

  2. 2 Portfolios collected

    7 valid model portfolios.

  3. 3 Start priced

    0 starting-price rows published.

  4. 4 Ending prices pending

    Scores publish after 2026-09-10 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

7 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-v3-20260901-weekly

Model-facing prompt available

35,006 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%

Gold (IAU)

Top 3 exposures 81.4%

Combined average allocation to the three largest assets.

Effective spread 4.1 assets

Higher means model capital was spread across more assets.

Average allocation across 7 model portfolios Assets
Gold (IAU) 6 models: Claude Fable 5 35% / Claude Opus 5 35% / Gemini 3.1 Pro 35% / GPT-5.6 Sol 35% / +2 more
30%
Silver (SLV) 6 models: Claude Fable 5 35% / Gemini 3.1 Pro 35% / Claude Opus 5 30% / GPT-5.6 Sol 30% / +2 more
27.1%
Healthcare Sector (XLV) 5 models: Claude Opus 5 35% / GPT-5.6 Sol 35% / Grok 4.5 35% / Grok 4.6 35% / +1 more
24.3%
S&P 500 (SPY) 1 model: Grok 4.3 100%
14.3%
South Africa Equities (EZA) 1 model: Claude Fable 5 30%
4.3%
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 35,006 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-2026-09-01-1W
- Decision date: 2026-09-01
- Research cutoff UTC: 2026-09-01T05:56:06Z
- Decision deadline UTC: 2026-09-02T13:25:00Z
- Horizon: one week
- Entry date: 2026-09-02
- Exit date: 2026-09-10
- Entry rule: Use the official entry prices supplied in prices/entry_prices.csv.
- Exit rule: Use the official exit prices supplied in prices/exit_prices.csv.
- Scoring benchmark: S&P 500 / SPY
- Return calculation: adjusted close prices are used when available.

## Briefing

# CapitalBench Fixed Factual Briefing — September 1, 2026

Research cutoff: **2026-09-01T05:56:06Z**. Latest fully completed U.S. cash-equity session: **August 31, 2026**.

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.

## U.S. market close and rates

- The Associated Press reported that on August 31 the S&P 500 closed at 7,686.14, down 0.3%; the Dow closed at 53,185.90, down 0.7%; the Nasdaq closed at 26,370.89, down 0.1%; and the Russell 2000 closed at 2,956.45, down 0.5%. Nearly every S&P 500 sector finished lower while energy gained. The S&P 500 rose 2.6% in August and the Nasdaq rose 3.9%.
- Brent crude settled at $90.49 per barrel on August 31, up 2.7% for the session. The 10-year Treasury yield rose to 4.75% from 4.73%, according to the same AP report.
- The Federal Reserve's August 31 H.15 release listed August 28 constant-maturity Treasury yields of 4.15% at one year, 4.34% at two years, 4.48% at five years, 4.73% at ten years, and 5.22% at thirty years. The effective federal funds rate was 3.63%.

## U.S. monetary policy and prices

- On July 29 the Federal Open Market Committee 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 next scheduled FOMC meeting is September 15–16.
- In an August 28 speech, Federal Reserve Chair Kevin Warsh stated that 12-month PCE inflation was 3.7% and the six-month change was 4.1%. He described the 2% PCE objective as fixed, characterized labor markets as consistent with full employment, and committed to a policy discipline rather than a specific rate decision.
- The Bureau of Labor Statistics reported that July CPI rose 0.1% seasonally adjusted and 3.4% over 12 months. CPI excluding food and energy rose 0.2% for the month and 2.5% over 12 months. Recent chained-CPI values remain subject to revision.
- The July final-demand PPI was unchanged for the month and rose 4.7% over 12 months. Final-demand services rose 0.2%, construction rose 2.2%, and goods fell 0.7%. July PPI values were preliminary, and March-through-June values included revisions.
- The Bureau of Economic Analysis reported that in July personal income rose 0.4%, disposable personal income rose 0.5%, current-dollar personal consumption expenditures rose 0.2%, real PCE was little changed, and the personal saving rate was 3.0%. Headline and food-and-energy-excluding PCE price indexes each rose 0.2% for the month and rose 3.7% and 3.3%, respectively, over 12 months.

## U.S. growth, labor, and production

- BEA's second estimate put second-quarter real GDP growth at a 1.5% seasonally adjusted annual rate after 2.1% in the first quarter. Real final sales to private domestic purchasers rose 4.2%, real GDI rose 2.2%, and the average of real GDP and real GDI rose 1.8%. BEA's September 30 annual update will supersede these estimates.
- BLS reported July nonfarm payroll change of -23,000, a 4.1% unemployment rate, 61.4% labor-force participation, and 3.2% year-over-year average-hourly-earnings growth. May and June payroll gains were revised down by a combined 103,000. Monthly payroll estimates are revised when additional reports arrive.
- BLS's preliminary March 2026 payroll benchmark estimated a -79,000 revision, or -0.1%, to total nonfarm employment and a -178,000 revision, or -0.1%, to private employment. Official monthly estimates have not yet been changed; the final benchmark is scheduled for February 2027.
- Federal Reserve data showed July industrial production and manufacturing production each rose 0.2%. Total industrial production was 1.1% above a year earlier and capacity utilization was 76.3%, 3.1 percentage points below its 1972–2025 average. July values were preliminary.
- Census estimated July retail and food-services sales of $763.6 billion, down 0.6% (±0.4%) from June and up 5.0% (±0.5%) from July 2025. The estimates are not adjusted for price changes.
- Census's advance indicators put July durable-goods orders at $339.3 billion, up 1.1%; the July goods-trade deficit at $118.8 billion, up $17.4 billion; wholesale inventories up 1.3% (±0.2%); and retail inventories up 0.7% (±0.2%). These are advance estimates subject to later revision.

## Housing and energy

- Census estimated July housing starts at a 1.239 million annual rate, down 12.4% (±9.5%) from June and 13.5% (±11.0%) from a year earlier. Building permits were at a 1.443 million rate, up 5.0% from June and 3.1% from a year earlier.
- Census and HUD estimated July new single-family home sales at a 607,000 annual rate, down 10.5% (±14.0%) from June and 6.3% (±19.6%) from a year earlier; neither change was statistically conclusive at the stated confidence level. For-sale inventory represented 9.6 months of supply, and the median sales price was $393,800.
- The Energy Information Administration's August forecast, completed August 6, projected Brent crude to average about $85 per barrel in the third quarter, $87 for full-year 2026, and $69 in 2027. It forecast U.S. crude production of 13.8 million barrels per day in 2026 and 14.2 million in 2027. These forecasts depend on EIA's assumptions about production and shipping disruptions.
- EIA reported total U.S. crude-oil and petroleum-product stocks including the Strategic Petroleum Reserve of 1.535 billion barrels for the week ended August 21, down from 1.539 billion one week earlier. Weekly values are estimates and may not sum because of independent rounding.

## International and company-reported data

- Eurostat reported final July euro-area annual inflation of 2.9%. Energy contributed 0.94 percentage point and services 1.55 percentage points. The European Central Bank kept its deposit, main-refinancing, and marginal-lending rates at 2.25%, 2.40%, and 2.65% on July 23.
- China's National Bureau of Statistics reported July industrial value added up 4.5% from a year earlier, retail sales up 0.6%, CPI up 0.5%, and manufacturing PMI at 49.2. Fixed-asset investment for January through July fell 6.7% from the corresponding 2025 period.
- NVIDIA reported fiscal-2027 second-quarter revenue of $96.2 billion, up 106% from a year earlier, data-center revenue of $89.0 billion, up 117%, and GAAP and non-GAAP gross margin of 75.0%.
- Salesforce reported fiscal-2027 second-quarter revenue of $11.3 billion, up 11% from a year earlier, and current remaining performance obligation of $33.5 billion, up 14% in constant currency. Its company guidance put fiscal-2027 revenue at $46.1–$46.4 billion, conditional on stated acquisition and currency assumptions.

## Scheduled releases and events

Times are Eastern Time. Publisher schedules can change.

- September 1, 10:00 a.m.: BLS July JOLTS and Census July construction spending. Eurostat's August flash inflation estimate is also scheduled for September 1.
- September 2: EIA Weekly Petroleum Status Report; Broadcom fiscal-2026 third-quarter results after the U.S. market close.
- September 3, 8:30 a.m.: BEA/Census July international trade and BLS revised second-quarter productivity and costs. Federal Reserve Governor Christopher Waller is scheduled to discuss the economic outlook at 8:30 a.m.
- September 4, 8:30 a.m.: BLS August Employment Situation.
- September 7: NYSE markets closed for Labor Day.
- September 9: EIA Short-Term Energy Outlook and BLS Employer Costs for Employee Compensation.
- September 10, 8:30 a.m.: BLS August PPI. September 11, 8:30 a.m.: BLS August CPI.
- September 15–16: FOMC meeting, with the decision scheduled for 2:00 p.m. and the press conference for 2:30 p.m. on September 16. Census August retail sales are scheduled for 8:30 a.m. that day.
- September 18: Federal Reserve August industrial production. September 24: BEA second-quarter international transactions and investment position and Census August new-home sales.
- September 30, 8:30 a.m.: BEA third estimate of second-quarter GDP and August personal income and outlays, both incorporating BEA's 2026 annual update.

This briefing contains fixed, cutoff-safe datapoints and publisher-labeled forecasts or estimates only. It provides no ranking, recommendation, option mapping, or selected mechanical performance context. The complete mechanical appendices are generated separately and retain frozen option order.

## 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-2026-09-01-1W
title: CapitalBench CB-2026-09-01-1W
description: One-week market allocation evaluation round.
decision_date: '2026-09-01'
decision_deadline: '2026-09-02T13:25:00Z'
horizon: one week
methodology_version: portfolio-v3.0
model_roster_version: portfolio-v3-roster-446d2fe37cff
model_roster_frozen_at_utc: '2026-09-01T05:59:13.112093+00:00'
expected_model_ids:
- openai-gpt-5-6-sol
- 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 official entry prices supplied in prices/entry_prices.csv.
exit_rule: Use the official exit prices supplied in prices/exit_prices.csv.
entry_date: '2026-09-02'
exit_date: '2026-09-10'
created_at: '2026-09-01T05:59:13.112093+00:00'
notes: 'Fresh September 1, 2026 public-web research; no prior input report reused. Latest completed U.S. session: August 31, 2026. Weekly exit is September 10 because NYSE markets are closed for Labor Day on September 7.'
Briefing briefing.md
# CapitalBench Fixed Factual Briefing — September 1, 2026

Research cutoff: **2026-09-01T05:56:06Z**. Latest fully completed U.S. cash-equity session: **August 31, 2026**.

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.

## U.S. market close and rates

- The Associated Press reported that on August 31 the S&P 500 closed at 7,686.14, down 0.3%; the Dow closed at 53,185.90, down 0.7%; the Nasdaq closed at 26,370.89, down 0.1%; and the Russell 2000 closed at 2,956.45, down 0.5%. Nearly every S&P 500 sector finished lower while energy gained. The S&P 500 rose 2.6% in August and the Nasdaq rose 3.9%.
- Brent crude settled at $90.49 per barrel on August 31, up 2.7% for the session. The 10-year Treasury yield rose to 4.75% from 4.73%, according to the same AP report.
- The Federal Reserve's August 31 H.15 release listed August 28 constant-maturity Treasury yields of 4.15% at one year, 4.34% at two years, 4.48% at five years, 4.73% at ten years, and 5.22% at thirty years. The effective federal funds rate was 3.63%.

## U.S. monetary policy and prices

- On July 29 the Federal Open Market Committee 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 next scheduled FOMC meeting is September 15–16.
- In an August 28 speech, Federal Reserve Chair Kevin Warsh stated that 12-month PCE inflation was 3.7% and the six-month change was 4.1%. He described the 2% PCE objective as fixed, characterized labor markets as consistent with full employment, and committed to a policy discipline rather than a specific rate decision.
- The Bureau of Labor Statistics reported that July CPI rose 0.1% seasonally adjusted and 3.4% over 12 months. CPI excluding food and energy rose 0.2% for the month and 2.5% over 12 months. Recent chained-CPI values remain subject to revision.
- The July final-demand PPI was unchanged for the month and rose 4.7% over 12 months. Final-demand services rose 0.2%, construction rose 2.2%, and goods fell 0.7%. July PPI values were preliminary, and March-through-June values included revisions.
- The Bureau of Economic Analysis reported that in July personal income rose 0.4%, disposable personal income rose 0.5%, current-dollar personal consumption expenditures rose 0.2%, real PCE was little changed, and the personal saving rate was 3.0%. Headline and food-and-energy-excluding PCE price indexes each rose 0.2% for the month and rose 3.7% and 3.3%, respectively, over 12 months.

## U.S. growth, labor, and production

- BEA's second estimate put second-quarter real GDP growth at a 1.5% seasonally adjusted annual rate after 2.1% in the first quarter. Real final sales to private domestic purchasers rose 4.2%, real GDI rose 2.2%, and the average of real GDP and real GDI rose 1.8%. BEA's September 30 annual update will supersede these estimates.
- BLS reported July nonfarm payroll change of -23,000, a 4.1% unemployment rate, 61.4% labor-force participation, and 3.2% year-over-year average-hourly-earnings growth. May and June payroll gains were revised down by a combined 103,000. Monthly payroll estimates are revised when additional reports arrive.
- BLS's preliminary March 2026 payroll benchmark estimated a -79,000 revision, or -0.1%, to total nonfarm employment and a -178,000 revision, or -0.1%, to private employment. Official monthly estimates have not yet been changed; the final benchmark is scheduled for February 2027.
- Federal Reserve data showed July industrial production and manufacturing production each rose 0.2%. Total industrial production was 1.1% above a year earlier and capacity utilization was 76.3%, 3.1 percentage points below its 1972–2025 average. July values were preliminary.
- Census estimated July retail and food-services sales of $763.6 billion, down 0.6% (±0.4%) from June and up 5.0% (±0.5%) from July 2025. The estimates are not adjusted for price changes.
- Census's advance indicators put July durable-goods orders at $339.3 billion, up 1.1%; the July goods-trade deficit at $118.8 billion, up $17.4 billion; wholesale inventories up 1.3% (±0.2%); and retail inventories up 0.7% (±0.2%). These are advance estimates subject to later revision.

## Housing and energy

- Census estimated July housing starts at a 1.239 million annual rate, down 12.4% (±9.5%) from June and 13.5% (±11.0%) from a year earlier. Building permits were at a 1.443 million rate, up 5.0% from June and 3.1% from a year earlier.
- Census and HUD estimated July new single-family home sales at a 607,000 annual rate, down 10.5% (±14.0%) from June and 6.3% (±19.6%) from a year earlier; neither change was statistically conclusive at the stated confidence level. For-sale inventory represented 9.6 months of supply, and the median sales price was $393,800.
- The Energy Information Administration's August forecast, completed August 6, projected Brent crude to average about $85 per barrel in the third quarter, $87 for full-year 2026, and $69 in 2027. It forecast U.S. crude production of 13.8 million barrels per day in 2026 and 14.2 million in 2027. These forecasts depend on EIA's assumptions about production and shipping disruptions.
- EIA reported total U.S. crude-oil and petroleum-product stocks including the Strategic Petroleum Reserve of 1.535 billion barrels for the week ended August 21, down from 1.539 billion one week earlier. Weekly values are estimates and may not sum because of independent rounding.

## International and company-reported data

- Eurostat reported final July euro-area annual inflation of 2.9%. Energy contributed 0.94 percentage point and services 1.55 percentage points. The European Central Bank kept its deposit, main-refinancing, and marginal-lending rates at 2.25%, 2.40%, and 2.65% on July 23.
- China's National Bureau of Statistics reported July industrial value added up 4.5% from a year earlier, retail sales up 0.6%, CPI up 0.5%, and manufacturing PMI at 49.2. Fixed-asset investment for January through July fell 6.7% from the corresponding 2025 period.
- NVIDIA reported fiscal-2027 second-quarter revenue of $96.2 billion, up 106% from a year earlier, data-center revenue of $89.0 billion, up 117%, and GAAP and non-GAAP gross margin of 75.0%.
- Salesforce reported fiscal-2027 second-quarter revenue of $11.3 billion, up 11% from a year earlier, and current remaining performance obligation of $33.5 billion, up 14% in constant currency. Its company guidance put fiscal-2027 revenue at $46.1–$46.4 billion, conditional on stated acquisition and currency assumptions.

## Scheduled releases and events

Times are Eastern Time. Publisher schedules can change.

- September 1, 10:00 a.m.: BLS July JOLTS and Census July construction spending. Eurostat's August flash inflation estimate is also scheduled for September 1.
- September 2: EIA Weekly Petroleum Status Report; Broadcom fiscal-2026 third-quarter results after the U.S. market close.
- September 3, 8:30 a.m.: BEA/Census July international trade and BLS revised second-quarter productivity and costs. Federal Reserve Governor Christopher Waller is scheduled to discuss the economic outlook at 8:30 a.m.
- September 4, 8:30 a.m.: BLS August Employment Situation.
- September 7: NYSE markets closed for Labor Day.
- September 9: EIA Short-Term Energy Outlook and BLS Employer Costs for Employee Compensation.
- September 10, 8:30 a.m.: BLS August PPI. September 11, 8:30 a.m.: BLS August CPI.
- September 15–16: FOMC meeting, with the decision scheduled for 2:00 p.m. and the press conference for 2:30 p.m. on September 16. Census August retail sales are scheduled for 8:30 a.m. that day.
- September 18: Federal Reserve August industrial production. September 24: BEA second-quarter international transactions and investment position and Census August new-home sales.
- September 30, 8:30 a.m.: BEA third estimate of second-quarter GDP and August personal income and outlays, both incorporating BEA's 2026 annual update.

This briefing contains fixed, cutoff-safe datapoints and publisher-labeled forecasts or estimates only. It provides no ranking, recommendation, option mapping, or selected mechanical performance context. The complete mechanical appendices are generated separately and retain frozen option order.
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": "25ea4f21542b2e6d6c391d52fd554e6c5eaea9f16fbe9c2e581843e70c82dcae",
    "manifest.yaml": "8c35a4cdeb4af9f8135a84cf8c8b3fb6e6dc48953392c37770b6447e70651791",
    "market_data/decision_context_source_history.json": "e18856fe73c329cc97c219d4658138ccc642a19fe0513191b154d35b3c1c03a6",
    "market_data/universe_decision_context.csv": "15be75afdb4410659625fc4f84addf99abd15e30cf190cfe7bedb77a9e4b2237",
    "market_data/universe_decision_context.json": "d28da7ee8d0c2af8512e18041f0bc64fadf3dfa21d1002600e4a5f6b29a90642",
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}
Per-Model Prompt Suffixes 7 model calls
Claude Fable 5
For this specific call, return only JSON using exactly these identifiers:
- round_id: CB-2026-09-01-1W
- 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 5
For this specific call, return only JSON using exactly these identifiers:
- round_id: CB-2026-09-01-1W
- 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-2026-09-01-1W
- 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-2026-09-01-1W
- 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-2026-09-01-1W
- 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-2026-09-01-1W
- 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-2026-09-01-1W
- 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 Gold (IAU)
Gold (IAU) 35% Silver (SLV) 35% South Africa Equities (EZA) 30%
Confidence
0.58
Run Type
official
Rationale

Favor quality-pullback reversals in precious metals and resource-linked EM: gold, silver, and South Africa all had strong prior relative uptrends, shallow drawdowns, and sharp one-week dips that look like positioning washouts. Sticky inflation and a soft August payrolls print due September 4 provide plausible in-window catalysts for a metals rebound. Recent tech winners (software, cybersecurity) are stretched and offer weak asymmetry.

SPY near highs with modest weekly gain while breadth is weak (RSP -1.5% vs SPY, only 39% of assets positive over 5 sessions). Sticky inflation (PCE 3.7%) and hawkish Fed keep rates elevated, but strong prior uptrends in precious metals and EM resource plays suffered sharp one-week pullbacks that look like positioning-driven overreactions rather than fundamental breaks, favoring selective reversal exposure.

Portfolio
  • Gold (IAU): 35% - V3 selected model rank 1: overreaction with 60% estimated probability of beating SPY.
  • Silver (SLV): 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 56% estimated probability of beating SPY.
Key Risks
  • Continued dollar strength or higher yields extend the precious-metals correction
  • Strong August payrolls report could push rates higher and hit gold/silver further
  • High-beta EM (EZA) could underperform if broad risk-off breadth weakness persists
  • Broadcom earnings and CPI/PPI prints could reignite tech leadership over metals
Validated JSON
{
  "confidence": 0.58,
  "is_official_score": true,
  "key_risks": [
    "Continued dollar strength or higher yields extend the precious-metals correction",
    "Strong August payrolls report could push rates higher and hit gold/silver further",
    "High-beta EM (EZA) could underperform if broad risk-off breadth weakness persists",
    "Broadcom earnings and CPI/PPI prints could reignite tech leadership over metals"
  ],
  "metadata": {
    "portfolio_v3": {
      "candidate_assessments": [
        {
          "evidence": [
            "Prior 16s active return +10.1% vs -4.0% recent pullback",
            "Quality score 0.760, top-decile pullback rank 0.985",
            "Sticky 3.7% PCE inflation supports gold demand into weak payrolls print"
          ],
          "excess_return_p10_pct": -3.5,
          "excess_return_p50_pct": 1.2,
          "excess_return_p90_pct": 6,
          "mechanism": "reversal",
          "option_id": "GOLD",
          "origin_lanes": [
            "shock_reversal",
            "quality_pullback"
          ],
          "p_beat_spy_pct": 60,
          "p_top3_pct": 35,
          "rank": 1,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "Prior 16s active return +16.6% with only -3.8% recent pullback",
            "Quality score 0.761; shallow 21s drawdown -4.4% despite high vol",
            "Weak July payrolls (-23k) raise easing odds supporting precious metals"
          ],
          "excess_return_p10_pct": -4.5,
          "excess_return_p50_pct": 1.5,
          "excess_return_p90_pct": 8,
          "mechanism": "reversal",
          "option_id": "SILVER",
          "origin_lanes": [
            "shock_reversal",
            "medium_strength",
            "quality_pullback"
          ],
          "p_beat_spy_pct": 58,
          "p_top3_pct": 32,
          "rank": 2,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "Prior 16s active +10.9% vs -3.2% recent dip; highest quality score 0.763",
            "Resource-heavy exposure aligned with strong gold/metals prior trend",
            "Shallow 21s max drawdown -3.8%"
          ],
          "excess_return_p10_pct": -4,
          "excess_return_p50_pct": 1,
          "excess_return_p90_pct": 6.5,
          "mechanism": "reversal",
          "option_id": "SOUTH_AFRICA",
          "origin_lanes": [
            "quality_pullback"
          ],
          "p_beat_spy_pct": 56,
          "p_top3_pct": 25,
          "rank": 3,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "+7.4% week with +6.1% prior active trend",
            "Salesforce beat with cRPO +14%; near 52w high (-6.6%)",
            "High 39.6% vol raises mean-reversion risk after sharp move"
          ],
          "excess_return_p10_pct": -5,
          "excess_return_p50_pct": 0,
          "excess_return_p90_pct": 5,
          "mechanism": "continuation",
          "option_id": "SOFTWARE",
          "origin_lanes": [
            "short_continuation"
          ],
          "p_beat_spy_pct": 50,
          "p_top3_pct": 18,
          "rank": 4,
          "recent_return_interpretation": "supported_continuation"
        },
        {
          "evidence": [
            "Strong prior 16s active +23.1% but flat recent week",
            "38.8% vol, -37% from 52w high; no in-window catalyst"
          ],
          "excess_return_p10_pct": -6,
          "excess_return_p50_pct": -0.3,
          "excess_return_p90_pct": 6,
          "mechanism": "continuation",
          "option_id": "BITCOIN_ETF",
          "origin_lanes": [
            "medium_strength"
          ],
          "p_beat_spy_pct": 47,
          "p_top3_pct": 15,
          "rank": 5,
          "recent_return_interpretation": "no_edge"
        },
        {
          "evidence": [
            "+8.3% week, near 52w high (-2.0%)",
            "Worst recent-pullback rank (0.015) implies stretched entry; 39% vol"
          ],
          "excess_return_p10_pct": -5.5,
          "excess_return_p50_pct": -0.4,
          "excess_return_p90_pct": 4.5,
          "mechanism": "continuation",
          "option_id": "CYBERSECURITY",
          "origin_lanes": [
            "short_continuation"
          ],
          "p_beat_spy_pct": 45,
          "p_top3_pct": 12,
          "rank": 6,
          "recent_return_interpretation": "supported_continuation"
        },
        {
          "evidence": [
            "Prior 16s active +5.3% with -2.9% recent dip; quality 0.734",
            "Low beta (-0.19) limits upside vs SPY in calm tape"
          ],
          "excess_return_p10_pct": -2.5,
          "excess_return_p50_pct": -0.1,
          "excess_return_p90_pct": 2.5,
          "mechanism": "reversal",
          "option_id": "HEALTHCARE",
          "origin_lanes": [
            "volume_dislocation"
          ],
          "p_beat_spy_pct": 48,
          "p_top3_pct": 10,
          "rank": 7,
          "recent_return_interpretation": "no_edge"
        },
        {
          "evidence": [
            "Prior 16s active +30.4% but recent week flat",
            "52% horizon vol; -47.7% from 52w high"
          ],
          "excess_return_p10_pct": -9,
          "excess_return_p50_pct": -0.5,
          "excess_return_p90_pct": 8,
          "mechanism": "continuation",
          "option_id": "ETHEREUM_ETF",
          "origin_lanes": [
            "medium_strength"
          ],
          "p_beat_spy_pct": 45,
          "p_top3_pct": 14,
          "rank": 8,
          "recent_return_interpretation": "no_edge"
        },
        {
          "evidence": [
            "Benchmark; +2.6% in August, -1.4% from 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": 10,
          "rank": 9,
          "recent_return_interpretation": "no_edge"
        },
        {
          "evidence": [
            "July retail sales -0.6% m/m and payrolls -23k weigh on consumer",
            "Mild -1.7% active dip, no clear catalyst"
          ],
          "excess_return_p10_pct": -2.5,
          "excess_return_p50_pct": -0.3,
          "excess_return_p90_pct": 2,
          "mechanism": "no_edge",
          "option_id": "CONSUMER_DISCRETIONARY",
          "origin_lanes": [
            "volume_dislocation"
          ],
          "p_beat_spy_pct": 45,
          "p_top3_pct": 8,
          "rank": 10,
          "recent_return_interpretation": "no_edge"
        },
        {
          "evidence": [
            "Recent -3.3% active came with negative prior trend (-1.2%)",
            "-6.1% drawdown; soft ISM-adjacent data offers no catalyst"
          ],
          "excess_return_p10_pct": -2.5,
          "excess_return_p50_pct": -0.4,
          "excess_return_p90_pct": 2,
          "mechanism": "reversal",
          "option_id": "INDUSTRIALS",
          "origin_lanes": [
            "shock_reversal"
          ],
          "p_beat_spy_pct": 42,
          "p_top3_pct": 7,
          "rank": 11,
          "recent_return_interpretation": "no_edge"
        },
        {
          "evidence": [
            "Both prior (-2.5%) and recent (-4.3%) active negative; -9.8% drawdown",
            "Weak quality score 0.390, no in-window catalyst"
          ],
          "excess_return_p10_pct": -3.5,
          "excess_return_p50_pct": -0.6,
          "excess_return_p90_pct": 2.5,
          "mechanism": "reversal",
          "option_id": "AEROSPACE_DEFENSE",
          "origin_lanes": [
            "shock_reversal"
          ],
          "p_beat_spy_pct": 40,
          "p_top3_pct": 6,
          "rank": 12,
          "recent_return_interpretation": "fundamental_deterioration"
        },
        {
          "evidence": [
            "Negative prior trend (-3.2%) plus -4.0% recent; -35.7% from 52w high",
            "36% vol, -10.9% drawdown, lowest-tier quality 0.337"
          ],
          "excess_return_p10_pct": -6.5,
          "excess_return_p50_pct": -1,
          "excess_return_p90_pct": 4.5,
          "mechanism": "reversal",
          "option_id": "SOLAR",
          "origin_lanes": [
            "shock_reversal"
          ],
          "p_beat_spy_pct": 38,
          "p_top3_pct": 6,
          "rank": 13,
          "recent_return_interpretation": "fundamental_deterioration"
        }
      ],
      "candidate_slate_option_ids": [
        "AEROSPACE_DEFENSE",
        "GOLD",
        "SOLAR",
        "SILVER",
        "INDUSTRIALS",
        "ETHEREUM_ETF",
        "BITCOIN_ETF",
        "SOFTWARE",
        "CYBERSECURITY",
        "SOUTH_AFRICA",
        "HEALTHCARE",
        "CONSUMER_DISCRETIONARY",
        "SP500"
      ],
      "confidence_derivation": "mean selected-active p_beat_spy_pct; 0.5 when all slots fall back to SPY",
      "deterministic_allocation": {
        "allocation_pct": {
          "GOLD": 35,
          "SILVER": 35,
          "SOUTH_AFRICA": 30
        },
        "benchmark_option_id": "SP500",
        "decisions": [
          {
            "eligible": true,
            "option_id": "GOLD",
            "p_beat_spy_pct": 60,
            "rank": 1,
            "reason": "eligible",
            "recent_return_interpretation": "overreaction",
            "selected": true
          },
          {
            "eligible": true,
            "option_id": "SILVER",
            "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": 56,
            "rank": 3,
            "reason": "eligible",
            "recent_return_interpretation": "overreaction",
            "selected": true
          },
          {
            "eligible": false,
            "option_id": "SOFTWARE",
            "p_beat_spy_pct": 50,
            "rank": 4,
            "reason": "not_overreaction",
            "recent_return_interpretation": "supported_continuation",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "BITCOIN_ETF",
            "p_beat_spy_pct": 47,
            "rank": 5,
            "reason": "not_overreaction",
            "recent_return_interpretation": "no_edge",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "CYBERSECURITY",
            "p_beat_spy_pct": 45,
            "rank": 6,
            "reason": "not_overreaction",
            "recent_return_interpretation": "supported_continuation",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "HEALTHCARE",
            "p_beat_spy_pct": 48,
            "rank": 7,
            "reason": "not_overreaction",
            "recent_return_interpretation": "no_edge",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "ETHEREUM_ETF",
            "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": 50,
            "rank": 9,
            "reason": "benchmark_fallback",
            "recent_return_interpretation": "no_edge",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "CONSUMER_DISCRETIONARY",
            "p_beat_spy_pct": 45,
            "rank": 10,
            "reason": "not_overreaction",
            "recent_return_interpretation": "no_edge",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "INDUSTRIALS",
            "p_beat_spy_pct": 42,
            "rank": 11,
            "reason": "not_overreaction",
            "recent_return_interpretation": "no_edge",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "AEROSPACE_DEFENSE",
            "p_beat_spy_pct": 40,
            "rank": 12,
            "reason": "not_overreaction",
            "recent_return_interpretation": "fundamental_deterioration",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "SOLAR",
            "p_beat_spy_pct": 38,
            "rank": 13,
            "reason": "not_overreaction",
            "recent_return_interpretation": "fundamental_deterioration",
            "selected": false
          }
        ],
        "methodology_version": "portfolio-v3.0",
        "minimum_beat_spy_probability_pct": 55,
        "selected_active_option_ids": [
          "GOLD",
          "SILVER",
          "SOUTH_AFRICA"
        ],
        "slot_weights_pct": [
          35,
          35,
          30
        ]
      },
      "dispersion_state": "normal",
      "dominant_pattern": "mixed",
      "market_rationale": "SPY near highs with modest weekly gain while breadth is weak (RSP -1.5% vs SPY, only 39% of assets positive over 5 sessions). Sticky inflation (PCE 3.7%) and hawkish Fed keep rates elevated, but strong prior uptrends in precious metals and EM resource plays suffered sharp one-week pullbacks that look like positioning-driven overreactions rather than fundamental breaks, favoring selective reversal exposure.",
      "methodology_version": "portfolio-v3.0",
      "prefer_spy": false,
      "top3_option_ids": [
        "GOLD",
        "SILVER",
        "SOUTH_AFRICA"
      ]
    }
  },
  "mode": "closed_capability",
  "model_id": "anthropic-claude-fable-5",
  "portfolio": [
    {
      "allocation_pct": 35,
      "option_id": "GOLD",
      "rationale": "V3 selected model rank 1: overreaction with 60% estimated probability of beating SPY."
    },
    {
      "allocation_pct": 35,
      "option_id": "SILVER",
      "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 56% estimated probability of beating SPY."
    }
  ],
  "portfolio_rationale": "Favor quality-pullback reversals in precious metals and resource-linked EM: gold, silver, and South Africa all had strong prior relative uptrends, shallow drawdowns, and sharp one-week dips that look like positioning washouts. Sticky inflation and a soft August payrolls print due September 4 provide plausible in-window catalysts for a metals rebound. Recent tech winners (software, cybersecurity) are stretched and offer weak asymmetry.",
  "provider": "anthropic",
  "rationale_summary": "SPY near highs with modest weekly gain while breadth is weak (RSP -1.5% vs SPY, only 39% of assets positive over 5 sessions). Sticky inflation (PCE 3.7%) and hawkish Fed keep rates elevated, but strong prior uptrends in precious metals and EM resource plays suffered sharp one-week pullbacks that look like positioning-driven overreactions rather than fundamental breaks, favoring selective reversal exposure.",
  "replicate_count": 1,
  "replicate_index": 1,
  "round_id": "CB-2026-09-01-1W",
  "run_type": "official",
  "usage": {
    "input_tokens": 29073,
    "latency_seconds": 38.19298866507597,
    "output_tokens": 3337,
    "total_tokens": 32410
  }
}
Anthropic

Claude Opus 5

anthropic-claude-opus-5

3 holdings Gold (IAU)
Gold (IAU) 35% Healthcare Sector (XLV) 35% Silver (SLV) 30%
Confidence
0.57
Run Type
official
Rationale

Ranked the two precious-metals pullbacks and the low-volume healthcare selloff first because each combines a strong prior relative trend with a sharp one-week relative decline and no fundamental deterioration in the briefing. Persistent 3.7% PCE inflation with a hawkish Fed and a payroll print plus PPI inside the window supports metals and defensive healthcare over extended narrow tech leadership, which was ranked below the benchmark given extreme volatility and no fresh catalyst.

SPY sits near highs with narrow leadership (RSP -1.5% vs SPY over 5 sessions), sticky inflation (PCE 3.7%) and a hawkish Fed under Warsh. The scoring week carries heavy event risk: Broadcom earnings Sept 2, August payrolls Sept 4, and August PPI on the exit date Sept 10. Precious metals took a sharp one-week pullback after a strong prior trend, which is the cleanest overreaction setup; defensive high-quality healthcare also pulled back on unusually light volume. Recent tech-narrow winners (software, cybersecurity) show extreme short-run spikes with very high volatility and no fresh in-window catalyst, so continuation is not favored.

Portfolio
  • Gold (IAU): 35% - V3 selected model rank 1: overreaction with 58% estimated probability of beating SPY.
  • Healthcare Sector (XLV): 35% - V3 selected model rank 2: overreaction with 57% estimated probability of beating SPY.
  • Silver (SLV): 30% - V3 selected model rank 3: overreaction with 56% estimated probability of beating SPY.
Key Risks
  • A hot August payrolls print on Sept 4 lifts yields and the dollar, extending the gold and silver drawdown
  • Broadcom earnings Sept 2 could re-accelerate tech leadership and leave defensive picks trailing SPY
  • August PPI on Sept 10 lands on the exit close and can whipsaw rate-sensitive and metals positions
  • Silver's 37% volatility means realized excess return can be large in either direction over one week
  • Healthcare's low-volume pullback may reflect quiet policy risk rather than a temporary overreaction
Validated JSON
{
  "confidence": 0.57,
  "is_official_score": true,
  "key_risks": [
    "A hot August payrolls print on Sept 4 lifts yields and the dollar, extending the gold and silver drawdown",
    "Broadcom earnings Sept 2 could re-accelerate tech leadership and leave defensive picks trailing SPY",
    "August PPI on Sept 10 lands on the exit close and can whipsaw rate-sensitive and metals positions",
    "Silver's 37% volatility means realized excess return can be large in either direction over one week",
    "Healthcare's low-volume pullback may reflect quiet policy risk rather than a temporary overreaction"
  ],
  "metadata": {
    "portfolio_v3": {
      "candidate_assessments": [
        {
          "evidence": [
            "-4.61% recent vs +10.08% prior active return",
            "Highest recent-pullback rank with 0.760 quality score",
            "Sticky 3.7% PCE inflation supports real-asset demand"
          ],
          "excess_return_p10_pct": -4.5,
          "excess_return_p50_pct": 1.2,
          "excess_return_p90_pct": 6.5,
          "mechanism": "reversal",
          "option_id": "GOLD",
          "origin_lanes": [
            "shock_reversal",
            "quality_pullback"
          ],
          "p_beat_spy_pct": 58,
          "p_top3_pct": 52,
          "rank": 1,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "-2.85% active last week vs +5.27% prior active",
            "Volume z -1.40 indicates low-conviction selling",
            "Negative SPY beta (-0.19) with 0.734 quality score"
          ],
          "excess_return_p10_pct": -2.5,
          "excess_return_p50_pct": 0.9,
          "excess_return_p90_pct": 4,
          "mechanism": "reversal",
          "option_id": "HEALTHCARE",
          "origin_lanes": [
            "volume_dislocation"
          ],
          "p_beat_spy_pct": 57,
          "p_top3_pct": 48,
          "rank": 2,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "-3.80% active last week after +16.59% prior active",
            "Quality score 0.761, top decile prior trend",
            "37.5% vol implies wide two-sided outcomes"
          ],
          "excess_return_p10_pct": -6.5,
          "excess_return_p50_pct": 1.3,
          "excess_return_p90_pct": 9,
          "mechanism": "reversal",
          "option_id": "SILVER",
          "origin_lanes": [
            "shock_reversal",
            "medium_strength",
            "quality_pullback"
          ],
          "p_beat_spy_pct": 56,
          "p_top3_pct": 45,
          "rank": 3,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "-3.24% active vs +10.90% prior active",
            "Quality score 0.763, highest on slate",
            "Beta 1.52 to SPY raises drawdown risk"
          ],
          "excess_return_p10_pct": -6,
          "excess_return_p50_pct": 0.6,
          "excess_return_p90_pct": 7,
          "mechanism": "reversal",
          "option_id": "SOUTH_AFRICA",
          "origin_lanes": [
            "quality_pullback"
          ],
          "p_beat_spy_pct": 53,
          "p_top3_pct": 30,
          "rank": 4,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "-1.68% active with volume z -1.40",
            "Prior active +2.81%",
            "July retail sales fell 0.6% and payrolls -23,000"
          ],
          "excess_return_p10_pct": -2.8,
          "excess_return_p50_pct": 0.1,
          "excess_return_p90_pct": 3,
          "mechanism": "reversal",
          "option_id": "CONSUMER_DISCRETIONARY",
          "origin_lanes": [
            "volume_dislocation"
          ],
          "p_beat_spy_pct": 50,
          "p_top3_pct": 18,
          "rank": 5,
          "recent_return_interpretation": "no_edge"
        },
        {
          "evidence": [
            "Prior 16s active +23.05%, flat last week",
            "37% below 52w high",
            "Volume z +0.37"
          ],
          "excess_return_p10_pct": -7,
          "excess_return_p50_pct": -0.2,
          "excess_return_p90_pct": 7,
          "mechanism": "no_edge",
          "option_id": "BITCOIN_ETF",
          "origin_lanes": [
            "medium_strength"
          ],
          "p_beat_spy_pct": 48,
          "p_top3_pct": 16,
          "rank": 6,
          "recent_return_interpretation": "no_edge"
        },
        {
          "evidence": [
            "Benchmark, -1.39% from 52w high",
            "Lowest vol on slate at 10.3%"
          ],
          "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": 7,
          "recent_return_interpretation": "no_edge"
        },
        {
          "evidence": [
            "52% horizon volatility, highest on slate",
            "Prior active +30.42% but flat recently",
            "47.7% below 52w high"
          ],
          "excess_return_p10_pct": -10,
          "excess_return_p50_pct": -0.4,
          "excess_return_p90_pct": 9.5,
          "mechanism": "no_edge",
          "option_id": "ETHEREUM_ETF",
          "origin_lanes": [
            "medium_strength"
          ],
          "p_beat_spy_pct": 46,
          "p_top3_pct": 15,
          "rank": 8,
          "recent_return_interpretation": "no_edge"
        },
        {
          "evidence": [
            "-3.31% active and negative prior active -1.16%",
            "Capacity utilization 76.3%, below long-run average",
            "Max drawdown -6.10%"
          ],
          "excess_return_p10_pct": -3,
          "excess_return_p50_pct": -0.1,
          "excess_return_p90_pct": 2.8,
          "mechanism": "reversal",
          "option_id": "INDUSTRIALS",
          "origin_lanes": [
            "shock_reversal"
          ],
          "p_beat_spy_pct": 47,
          "p_top3_pct": 9,
          "rank": 9,
          "recent_return_interpretation": "fundamental_deterioration"
        },
        {
          "evidence": [
            "+6.88% active last week, 39.6% vol",
            "Salesforce revenue +11% with 14% cRPO growth",
            "Lowest recent-pullback rank (0.000)"
          ],
          "excess_return_p10_pct": -9,
          "excess_return_p50_pct": -0.8,
          "excess_return_p90_pct": 7,
          "mechanism": "continuation",
          "option_id": "SOFTWARE",
          "origin_lanes": [
            "short_continuation"
          ],
          "p_beat_spy_pct": 45,
          "p_top3_pct": 12,
          "rank": 10,
          "recent_return_interpretation": "supported_continuation"
        },
        {
          "evidence": [
            "+5.12% active, only -2.01% from 52w high",
            "39.2% vol and -9.53% max drawdown",
            "No specific in-window catalyst in briefing"
          ],
          "excess_return_p10_pct": -10,
          "excess_return_p50_pct": -1.2,
          "excess_return_p90_pct": 7,
          "mechanism": "continuation",
          "option_id": "CYBERSECURITY",
          "origin_lanes": [
            "short_continuation"
          ],
          "p_beat_spy_pct": 43,
          "p_top3_pct": 10,
          "rank": 11,
          "recent_return_interpretation": "supported_continuation"
        },
        {
          "evidence": [
            "-4.26% active with prior active also negative -2.53%",
            "-9.82% max drawdown, 9.82% below 52w high",
            "Low quality score 0.390"
          ],
          "excess_return_p10_pct": -5.5,
          "excess_return_p50_pct": -0.4,
          "excess_return_p90_pct": 4.5,
          "mechanism": "reversal",
          "option_id": "AEROSPACE_DEFENSE",
          "origin_lanes": [
            "shock_reversal"
          ],
          "p_beat_spy_pct": 44,
          "p_top3_pct": 8,
          "rank": 12,
          "recent_return_interpretation": "fundamental_deterioration"
        },
        {
          "evidence": [
            "-35.66% from 52w high with negative prior trend",
            "36.3% vol, -10.87% drawdown",
            "Quality score 0.337 and beta 2.44"
          ],
          "excess_return_p10_pct": -12,
          "excess_return_p50_pct": -1.5,
          "excess_return_p90_pct": 9,
          "mechanism": "reversal",
          "option_id": "SOLAR",
          "origin_lanes": [
            "shock_reversal"
          ],
          "p_beat_spy_pct": 38,
          "p_top3_pct": 7,
          "rank": 13,
          "recent_return_interpretation": "fundamental_deterioration"
        }
      ],
      "candidate_slate_option_ids": [
        "AEROSPACE_DEFENSE",
        "GOLD",
        "SOLAR",
        "SILVER",
        "INDUSTRIALS",
        "ETHEREUM_ETF",
        "BITCOIN_ETF",
        "SOFTWARE",
        "CYBERSECURITY",
        "SOUTH_AFRICA",
        "HEALTHCARE",
        "CONSUMER_DISCRETIONARY",
        "SP500"
      ],
      "confidence_derivation": "mean selected-active p_beat_spy_pct; 0.5 when all slots fall back to SPY",
      "deterministic_allocation": {
        "allocation_pct": {
          "GOLD": 35,
          "HEALTHCARE": 35,
          "SILVER": 30
        },
        "benchmark_option_id": "SP500",
        "decisions": [
          {
            "eligible": true,
            "option_id": "GOLD",
            "p_beat_spy_pct": 58,
            "rank": 1,
            "reason": "eligible",
            "recent_return_interpretation": "overreaction",
            "selected": true
          },
          {
            "eligible": true,
            "option_id": "HEALTHCARE",
            "p_beat_spy_pct": 57,
            "rank": 2,
            "reason": "eligible",
            "recent_return_interpretation": "overreaction",
            "selected": true
          },
          {
            "eligible": true,
            "option_id": "SILVER",
            "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": 53,
            "rank": 4,
            "reason": "below_probability_hurdle",
            "recent_return_interpretation": "overreaction",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "CONSUMER_DISCRETIONARY",
            "p_beat_spy_pct": 50,
            "rank": 5,
            "reason": "not_overreaction",
            "recent_return_interpretation": "no_edge",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "BITCOIN_ETF",
            "p_beat_spy_pct": 48,
            "rank": 6,
            "reason": "not_overreaction",
            "recent_return_interpretation": "no_edge",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "SP500",
            "p_beat_spy_pct": 50,
            "rank": 7,
            "reason": "benchmark_fallback",
            "recent_return_interpretation": "no_edge",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "ETHEREUM_ETF",
            "p_beat_spy_pct": 46,
            "rank": 8,
            "reason": "not_overreaction",
            "recent_return_interpretation": "no_edge",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "INDUSTRIALS",
            "p_beat_spy_pct": 47,
            "rank": 9,
            "reason": "not_overreaction",
            "recent_return_interpretation": "fundamental_deterioration",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "SOFTWARE",
            "p_beat_spy_pct": 45,
            "rank": 10,
            "reason": "not_overreaction",
            "recent_return_interpretation": "supported_continuation",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "CYBERSECURITY",
            "p_beat_spy_pct": 43,
            "rank": 11,
            "reason": "not_overreaction",
            "recent_return_interpretation": "supported_continuation",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "AEROSPACE_DEFENSE",
            "p_beat_spy_pct": 44,
            "rank": 12,
            "reason": "not_overreaction",
            "recent_return_interpretation": "fundamental_deterioration",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "SOLAR",
            "p_beat_spy_pct": 38,
            "rank": 13,
            "reason": "not_overreaction",
            "recent_return_interpretation": "fundamental_deterioration",
            "selected": false
          }
        ],
        "methodology_version": "portfolio-v3.0",
        "minimum_beat_spy_probability_pct": 55,
        "selected_active_option_ids": [
          "GOLD",
          "HEALTHCARE",
          "SILVER"
        ],
        "slot_weights_pct": [
          35,
          35,
          30
        ]
      },
      "dispersion_state": "normal",
      "dominant_pattern": "mixed",
      "market_rationale": "SPY sits near highs with narrow leadership (RSP -1.5% vs SPY over 5 sessions), sticky inflation (PCE 3.7%) and a hawkish Fed under Warsh. The scoring week carries heavy event risk: Broadcom earnings Sept 2, August payrolls Sept 4, and August PPI on the exit date Sept 10. Precious metals took a sharp one-week pullback after a strong prior trend, which is the cleanest overreaction setup; defensive high-quality healthcare also pulled back on unusually light volume. Recent tech-narrow winners (software, cybersecurity) show extreme short-run spikes with very high volatility and no fresh in-window catalyst, so continuation is not favored.",
      "methodology_version": "portfolio-v3.0",
      "prefer_spy": false,
      "top3_option_ids": [
        "GOLD",
        "HEALTHCARE",
        "SILVER"
      ]
    }
  },
  "mode": "closed_capability",
  "model_id": "anthropic-claude-opus-5",
  "portfolio": [
    {
      "allocation_pct": 35,
      "option_id": "GOLD",
      "rationale": "V3 selected model rank 1: overreaction with 58% estimated probability of beating SPY."
    },
    {
      "allocation_pct": 35,
      "option_id": "HEALTHCARE",
      "rationale": "V3 selected model rank 2: overreaction with 57% estimated probability of beating SPY."
    },
    {
      "allocation_pct": 30,
      "option_id": "SILVER",
      "rationale": "V3 selected model rank 3: overreaction with 56% estimated probability of beating SPY."
    }
  ],
  "portfolio_rationale": "Ranked the two precious-metals pullbacks and the low-volume healthcare selloff first because each combines a strong prior relative trend with a sharp one-week relative decline and no fundamental deterioration in the briefing. Persistent 3.7% PCE inflation with a hawkish Fed and a payroll print plus PPI inside the window supports metals and defensive healthcare over extended narrow tech leadership, which was ranked below the benchmark given extreme volatility and no fresh catalyst.",
  "provider": "anthropic",
  "rationale_summary": "SPY sits near highs with narrow leadership (RSP -1.5% vs SPY over 5 sessions), sticky inflation (PCE 3.7%) and a hawkish Fed under Warsh. The scoring week carries heavy event risk: Broadcom earnings Sept 2, August payrolls Sept 4, and August PPI on the exit date Sept 10. Precious metals took a sharp one-week pullback after a strong prior trend, which is the cleanest overreaction setup; defensive high-quality healthcare also pulled back on unusually light volume. Recent tech-narrow winners (software, cybersecurity) show extreme short-run spikes with very high volatility and no fresh in-window catalyst, so continuation is not favored.",
  "replicate_count": 1,
  "replicate_index": 1,
  "round_id": "CB-2026-09-01-1W",
  "run_type": "official",
  "usage": {
    "input_tokens": 29073,
    "latency_seconds": 38.589355270029046,
    "output_tokens": 3330,
    "total_tokens": 32403
  }
}
Google

Gemini 3.1 Pro

google-gemini-3-1-pro

3 holdings Gold (IAU)
Gold (IAU) 35% Silver (SLV) 35% Healthcare Sector (XLV) 30%
Confidence
0.58
Run Type
official
Rationale

The portfolio targets high-quality assets that have experienced recent pullbacks, specifically Gold, Silver, and Healthcare, anticipating a reversal in the short term.

The market is experiencing a mixed environment with recent pullbacks in several sectors despite a generally positive August. The upcoming employment data and FOMC meeting are key focal points.

Portfolio
  • Gold (IAU): 35% - V3 selected model rank 1: overreaction with 60% estimated probability of beating SPY.
  • Silver (SLV): 35% - V3 selected model rank 2: overreaction with 58% estimated probability of beating SPY.
  • Healthcare Sector (XLV): 30% - V3 selected model rank 3: overreaction with 56% estimated probability of beating SPY.
Key Risks
  • Upcoming employment data could shift market sentiment.
  • Unexpected changes in interest rate expectations ahead of the FOMC meeting.
Validated JSON
{
  "confidence": 0.58,
  "is_official_score": true,
  "key_risks": [
    "Upcoming employment data could shift market sentiment.",
    "Unexpected changes in interest rate expectations ahead of the FOMC meeting."
  ],
  "metadata": {
    "portfolio_v3": {
      "candidate_assessments": [
        {
          "evidence": [
            "Gold has a high quality score of 0.760.",
            "Recent return was -4.61%, indicating a significant pullback."
          ],
          "excess_return_p10_pct": -2,
          "excess_return_p50_pct": 1.5,
          "excess_return_p90_pct": 4,
          "mechanism": "reversal",
          "option_id": "GOLD",
          "origin_lanes": [
            "shock_reversal",
            "quality_pullback"
          ],
          "p_beat_spy_pct": 60,
          "p_top3_pct": 25,
          "rank": 1,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "Silver has a high quality score of 0.761.",
            "Recent return was -2.37%."
          ],
          "excess_return_p10_pct": -3,
          "excess_return_p50_pct": 1.2,
          "excess_return_p90_pct": 5,
          "mechanism": "reversal",
          "option_id": "SILVER",
          "origin_lanes": [
            "shock_reversal",
            "medium_strength",
            "quality_pullback"
          ],
          "p_beat_spy_pct": 58,
          "p_top3_pct": 20,
          "rank": 2,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "Healthcare has a quality score of 0.734.",
            "Recent return was -1.73% with a volume z-score of -1.40."
          ],
          "excess_return_p10_pct": -1.5,
          "excess_return_p50_pct": 0.8,
          "excess_return_p90_pct": 2.5,
          "mechanism": "reversal",
          "option_id": "HEALTHCARE",
          "origin_lanes": [
            "volume_dislocation"
          ],
          "p_beat_spy_pct": 56,
          "p_top3_pct": 15,
          "rank": 3,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "Software had a strong recent return of 7.41%.",
            "Salesforce reported strong earnings."
          ],
          "excess_return_p10_pct": -2.5,
          "excess_return_p50_pct": 0.5,
          "excess_return_p90_pct": 3.5,
          "mechanism": "continuation",
          "option_id": "SOFTWARE",
          "origin_lanes": [
            "short_continuation"
          ],
          "p_beat_spy_pct": 52,
          "p_top3_pct": 10,
          "rank": 4,
          "recent_return_interpretation": "supported_continuation"
        },
        {
          "evidence": [
            "Cybersecurity had a strong recent return of 8.32%."
          ],
          "excess_return_p10_pct": -3,
          "excess_return_p50_pct": 0,
          "excess_return_p90_pct": 4,
          "mechanism": "continuation",
          "option_id": "CYBERSECURITY",
          "origin_lanes": [
            "short_continuation"
          ],
          "p_beat_spy_pct": 50,
          "p_top3_pct": 8,
          "rank": 5,
          "recent_return_interpretation": "supported_continuation"
        },
        {
          "evidence": [
            "The S&P 500 closed at 7,686.14, down 0.3% on August 31."
          ],
          "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": 6,
          "recent_return_interpretation": "no_edge"
        },
        {
          "evidence": [
            "Consumer Discretionary has a quality score of 0.646.",
            "Recent return was -1.15%."
          ],
          "excess_return_p10_pct": -2,
          "excess_return_p50_pct": -0.2,
          "excess_return_p90_pct": 2,
          "mechanism": "reversal",
          "option_id": "CONSUMER_DISCRETIONARY",
          "origin_lanes": [
            "volume_dislocation"
          ],
          "p_beat_spy_pct": 48,
          "p_top3_pct": 5,
          "rank": 7,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "Industrials had a recent return of -1.83%."
          ],
          "excess_return_p10_pct": -2.5,
          "excess_return_p50_pct": -0.5,
          "excess_return_p90_pct": 1.5,
          "mechanism": "reversal",
          "option_id": "INDUSTRIALS",
          "origin_lanes": [
            "shock_reversal"
          ],
          "p_beat_spy_pct": 45,
          "p_top3_pct": 4,
          "rank": 8,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "Aerospace and Defense had a recent return of -2.54%."
          ],
          "excess_return_p10_pct": -3,
          "excess_return_p50_pct": -0.8,
          "excess_return_p90_pct": 1.5,
          "mechanism": "reversal",
          "option_id": "AEROSPACE_DEFENSE",
          "origin_lanes": [
            "shock_reversal"
          ],
          "p_beat_spy_pct": 42,
          "p_top3_pct": 3,
          "rank": 9,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "South Africa has a high quality score of 0.763.",
            "Recent return was -2.77%."
          ],
          "excess_return_p10_pct": -4,
          "excess_return_p50_pct": -1,
          "excess_return_p90_pct": 2,
          "mechanism": "reversal",
          "option_id": "SOUTH_AFRICA",
          "origin_lanes": [
            "quality_pullback"
          ],
          "p_beat_spy_pct": 40,
          "p_top3_pct": 2,
          "rank": 10,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "Solar had a recent return of -2.62% and a low quality score of 0.337."
          ],
          "excess_return_p10_pct": -5,
          "excess_return_p50_pct": -1.5,
          "excess_return_p90_pct": 2,
          "mechanism": "reversal",
          "option_id": "SOLAR",
          "origin_lanes": [
            "shock_reversal"
          ],
          "p_beat_spy_pct": 35,
          "p_top3_pct": 1,
          "rank": 11,
          "recent_return_interpretation": "fundamental_deterioration"
        },
        {
          "evidence": [
            "Bitcoin ETF had a recent return of 0.47%."
          ],
          "excess_return_p10_pct": -6,
          "excess_return_p50_pct": -0.5,
          "excess_return_p90_pct": 5,
          "mechanism": "no_edge",
          "option_id": "BITCOIN_ETF",
          "origin_lanes": [
            "medium_strength"
          ],
          "p_beat_spy_pct": 48,
          "p_top3_pct": 1,
          "rank": 12,
          "recent_return_interpretation": "no_edge"
        },
        {
          "evidence": [
            "Ethereum ETF had a recent return of 0.38%."
          ],
          "excess_return_p10_pct": -7,
          "excess_return_p50_pct": -1,
          "excess_return_p90_pct": 5,
          "mechanism": "no_edge",
          "option_id": "ETHEREUM_ETF",
          "origin_lanes": [
            "medium_strength"
          ],
          "p_beat_spy_pct": 45,
          "p_top3_pct": 1,
          "rank": 13,
          "recent_return_interpretation": "no_edge"
        }
      ],
      "candidate_slate_option_ids": [
        "AEROSPACE_DEFENSE",
        "GOLD",
        "SOLAR",
        "SILVER",
        "INDUSTRIALS",
        "ETHEREUM_ETF",
        "BITCOIN_ETF",
        "SOFTWARE",
        "CYBERSECURITY",
        "SOUTH_AFRICA",
        "HEALTHCARE",
        "CONSUMER_DISCRETIONARY",
        "SP500"
      ],
      "confidence_derivation": "mean selected-active p_beat_spy_pct; 0.5 when all slots fall back to SPY",
      "deterministic_allocation": {
        "allocation_pct": {
          "GOLD": 35,
          "HEALTHCARE": 30,
          "SILVER": 35
        },
        "benchmark_option_id": "SP500",
        "decisions": [
          {
            "eligible": true,
            "option_id": "GOLD",
            "p_beat_spy_pct": 60,
            "rank": 1,
            "reason": "eligible",
            "recent_return_interpretation": "overreaction",
            "selected": true
          },
          {
            "eligible": true,
            "option_id": "SILVER",
            "p_beat_spy_pct": 58,
            "rank": 2,
            "reason": "eligible",
            "recent_return_interpretation": "overreaction",
            "selected": true
          },
          {
            "eligible": true,
            "option_id": "HEALTHCARE",
            "p_beat_spy_pct": 56,
            "rank": 3,
            "reason": "eligible",
            "recent_return_interpretation": "overreaction",
            "selected": true
          },
          {
            "eligible": false,
            "option_id": "SOFTWARE",
            "p_beat_spy_pct": 52,
            "rank": 4,
            "reason": "not_overreaction",
            "recent_return_interpretation": "supported_continuation",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "CYBERSECURITY",
            "p_beat_spy_pct": 50,
            "rank": 5,
            "reason": "not_overreaction",
            "recent_return_interpretation": "supported_continuation",
            "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": "CONSUMER_DISCRETIONARY",
            "p_beat_spy_pct": 48,
            "rank": 7,
            "reason": "below_probability_hurdle",
            "recent_return_interpretation": "overreaction",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "INDUSTRIALS",
            "p_beat_spy_pct": 45,
            "rank": 8,
            "reason": "below_probability_hurdle",
            "recent_return_interpretation": "overreaction",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "AEROSPACE_DEFENSE",
            "p_beat_spy_pct": 42,
            "rank": 9,
            "reason": "below_probability_hurdle",
            "recent_return_interpretation": "overreaction",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "SOUTH_AFRICA",
            "p_beat_spy_pct": 40,
            "rank": 10,
            "reason": "below_probability_hurdle",
            "recent_return_interpretation": "overreaction",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "SOLAR",
            "p_beat_spy_pct": 35,
            "rank": 11,
            "reason": "not_overreaction",
            "recent_return_interpretation": "fundamental_deterioration",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "BITCOIN_ETF",
            "p_beat_spy_pct": 48,
            "rank": 12,
            "reason": "not_overreaction",
            "recent_return_interpretation": "no_edge",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "ETHEREUM_ETF",
            "p_beat_spy_pct": 45,
            "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": [
          "GOLD",
          "SILVER",
          "HEALTHCARE"
        ],
        "slot_weights_pct": [
          35,
          35,
          30
        ]
      },
      "dispersion_state": "normal",
      "dominant_pattern": "mixed",
      "market_rationale": "The market is experiencing a mixed environment with recent pullbacks in several sectors despite a generally positive August. The upcoming employment data and FOMC meeting are key focal points.",
      "methodology_version": "portfolio-v3.0",
      "prefer_spy": false,
      "top3_option_ids": [
        "GOLD",
        "SILVER",
        "HEALTHCARE"
      ]
    }
  },
  "mode": "closed_capability",
  "model_id": "google-gemini-3-1-pro",
  "portfolio": [
    {
      "allocation_pct": 35,
      "option_id": "GOLD",
      "rationale": "V3 selected model rank 1: overreaction with 60% estimated probability of beating SPY."
    },
    {
      "allocation_pct": 35,
      "option_id": "SILVER",
      "rationale": "V3 selected model rank 2: overreaction with 58% estimated probability of beating SPY."
    },
    {
      "allocation_pct": 30,
      "option_id": "HEALTHCARE",
      "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, specifically Gold, Silver, and Healthcare, anticipating a reversal in the short term.",
  "provider": "google",
  "rationale_summary": "The market is experiencing a mixed environment with recent pullbacks in several sectors despite a generally positive August. The upcoming employment data and FOMC meeting are key focal points.",
  "replicate_count": 1,
  "replicate_index": 1,
  "round_id": "CB-2026-09-01-1W",
  "run_type": "official",
  "usage": {
    "input_tokens": 19953,
    "latency_seconds": 20.988154402002692,
    "output_tokens": 2703,
    "total_tokens": 22656
  }
}
OpenAI

GPT-5.6 Sol

openai-gpt-5-6-sol

3 holdings Healthcare Sector (XLV)
Healthcare Sector (XLV) 35% Gold (IAU) 35% Silver (SLV) 30%
Confidence
0.58
Run Type
official
Rationale

Healthcare offers the strongest defensive reversal profile, while gold and silver combine extreme pullbacks with established medium-horizon relative strength. These signals are more compelling than chasing software or cybersecurity after sharp gains, though all three selections retain meaningful macro sensitivity.

Breadth is weak despite positive index momentum, while high inflation, a 4.75% ten-year yield, and imminent labor and PPI releases create two-way risk. The strongest one-week opportunities are selective reversals with established prior strength rather than extrapolation of recent winners.

Portfolio
  • Healthcare Sector (XLV): 35% - V3 selected model rank 1: overreaction with 59% estimated probability of beating SPY.
  • Gold (IAU): 35% - V3 selected model rank 2: overreaction with 58% estimated probability of beating SPY.
  • Silver (SLV): 30% - V3 selected model rank 3: overreaction with 56% estimated probability of beating SPY.
Key Risks
  • A stronger-than-expected August employment report could lift yields and favor SPY over defensive and precious-metal reversals.
  • A hot September 10 PPI release could strengthen the dollar and pressure gold and silver before the exit close.
  • Recent mega-cap technology leadership could persist while weak market breadth fails to mean-revert.
  • Labor Day closure and high precious-metals volatility could magnify short-window price gaps.
Validated JSON
{
  "confidence": 0.5767,
  "is_official_score": true,
  "key_risks": [
    "A stronger-than-expected August employment report could lift yields and favor SPY over defensive and precious-metal reversals.",
    "A hot September 10 PPI release could strengthen the dollar and pressure gold and silver before the exit close.",
    "Recent mega-cap technology leadership could persist while weak market breadth fails to mean-revert.",
    "Labor Day closure and high precious-metals volatility could magnify short-window price gaps."
  ],
  "metadata": {
    "portfolio_v3": {
      "candidate_assessments": [
        {
          "evidence": [
            "Prior active return was 5.27% before the latest 2.85% active pullback.",
            "Quality evidence score was 0.734 with only a 2.93% drawdown.",
            "Its 63-session SPY correlation and beta were -0.135 and -0.193."
          ],
          "excess_return_p10_pct": -2.8,
          "excess_return_p50_pct": 0.7,
          "excess_return_p90_pct": 4.1,
          "mechanism": "defensive",
          "option_id": "HEALTHCARE",
          "origin_lanes": [
            "volume_dislocation"
          ],
          "p_beat_spy_pct": 59,
          "p_top3_pct": 35,
          "rank": 1,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "Gold retained 10.08% prior active strength before a 4.02% active pullback.",
            "Its 0.760 quality score reflected top-decile prior strength and near-maximum pullback rank.",
            "PCE inflation was 3.7%, although rising Treasury yields remain a headwind."
          ],
          "excess_return_p10_pct": -5.6,
          "excess_return_p50_pct": 0.8,
          "excess_return_p90_pct": 7.4,
          "mechanism": "reversal",
          "option_id": "GOLD",
          "origin_lanes": [
            "shock_reversal",
            "quality_pullback"
          ],
          "p_beat_spy_pct": 58,
          "p_top3_pct": 33,
          "rank": 2,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "Silver had 16.59% prior active strength followed by a 3.80% active pullback.",
            "Its quality evidence score was 0.761, with prior-strength and pullback ranks above 0.95.",
            "Positive volume dislocation was absent, limiting conviction in the reversal."
          ],
          "excess_return_p10_pct": -7.7,
          "excess_return_p50_pct": 0.7,
          "excess_return_p90_pct": 9.6,
          "mechanism": "reversal",
          "option_id": "SILVER",
          "origin_lanes": [
            "shock_reversal",
            "medium_strength",
            "quality_pullback"
          ],
          "p_beat_spy_pct": 56,
          "p_top3_pct": 30,
          "rank": 3,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "The mechanical slate omitted a 0.693-quality candidate with 7.22% prior active strength.",
            "Biotech experienced a 2.42% active pullback and a 4.16% maximum drawdown.",
            "Its 0.306 SPY correlation offers differentiated rebound potential."
          ],
          "excess_return_p10_pct": -6.8,
          "excess_return_p50_pct": 0.5,
          "excess_return_p90_pct": 8.2,
          "mechanism": "reversal",
          "option_id": "BIOTECH",
          "origin_lanes": [
            "wildcard"
          ],
          "p_beat_spy_pct": 55,
          "p_top3_pct": 27,
          "rank": 4,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "Prior active return was 10.90% before the 3.24% active pullback.",
            "Its 0.763 quality score was the slate's highest.",
            "China's manufacturing PMI was 49.2, creating a resource-demand headwind."
          ],
          "excess_return_p10_pct": -6.2,
          "excess_return_p50_pct": 0.4,
          "excess_return_p90_pct": 7.6,
          "mechanism": "reversal",
          "option_id": "SOUTH_AFRICA",
          "origin_lanes": [
            "quality_pullback"
          ],
          "p_beat_spy_pct": 54,
          "p_top3_pct": 25,
          "rank": 5,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "Prior active return was 23.05%, while the latest active return was only -0.40%.",
            "Recent volume was elevated with a 0.370 z-score.",
            "Weekly volatility was high at 38.78%, widening outcome risk."
          ],
          "excess_return_p10_pct": -7.4,
          "excess_return_p50_pct": 0.3,
          "excess_return_p90_pct": 8.8,
          "mechanism": "continuation",
          "option_id": "BITCOIN_ETF",
          "origin_lanes": [
            "medium_strength"
          ],
          "p_beat_spy_pct": 52,
          "p_top3_pct": 23,
          "rank": 6,
          "recent_return_interpretation": "supported_continuation"
        },
        {
          "evidence": [
            "Ethereum had the strongest prior active return in the slate at 30.42%.",
            "Its volume z-score was elevated at 0.699.",
            "Weekly volatility of 52.06% makes short-window continuation unusually fragile."
          ],
          "excess_return_p10_pct": -10.1,
          "excess_return_p50_pct": 0.2,
          "excess_return_p90_pct": 12.1,
          "mechanism": "continuation",
          "option_id": "ETHEREUM_ETF",
          "origin_lanes": [
            "medium_strength"
          ],
          "p_beat_spy_pct": 51,
          "p_top3_pct": 22,
          "rank": 7,
          "recent_return_interpretation": "supported_continuation"
        },
        {
          "evidence": [
            "Software gained 6.88% relative to SPY after 6.12% prior active strength.",
            "Salesforce reported 11% revenue growth and 14% constant-currency cRPO growth.",
            "The 39.61% volatility and 7.41% three-session gain raise reversal risk."
          ],
          "excess_return_p10_pct": -7.3,
          "excess_return_p50_pct": 0,
          "excess_return_p90_pct": 8.1,
          "mechanism": "continuation",
          "option_id": "SOFTWARE",
          "origin_lanes": [
            "short_continuation"
          ],
          "p_beat_spy_pct": 50,
          "p_top3_pct": 20,
          "rank": 8,
          "recent_return_interpretation": "supported_continuation"
        },
        {
          "evidence": [
            "SPY gained 0.47% over five sessions and 2.68% over 21 sessions.",
            "Only 39.13% of tracked assets were positive over five sessions.",
            "SPY remained 1.39% 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": 19,
          "rank": 9,
          "recent_return_interpretation": "no_edge"
        },
        {
          "evidence": [
            "The sector retained 2.81% prior active strength before a 1.68% active pullback.",
            "July retail sales fell 0.6% and payrolls declined by 23,000.",
            "The -1.396 volume z-score provides little evidence of capitulation."
          ],
          "excess_return_p10_pct": -3.8,
          "excess_return_p50_pct": -0.1,
          "excess_return_p90_pct": 4.2,
          "mechanism": "reversal",
          "option_id": "CONSUMER_DISCRETIONARY",
          "origin_lanes": [
            "volume_dislocation"
          ],
          "p_beat_spy_pct": 49,
          "p_top3_pct": 18,
          "rank": 10,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "Industrials fell 3.31% relative to SPY, but prior active return was already -1.16%.",
            "Industrial production rose only 0.2%, with utilization below its long-run average.",
            "The 6.10% drawdown weakens the case for a purely temporary shock."
          ],
          "excess_return_p10_pct": -4.1,
          "excess_return_p50_pct": -0.3,
          "excess_return_p90_pct": 4.3,
          "mechanism": "reversal",
          "option_id": "INDUSTRIALS",
          "origin_lanes": [
            "shock_reversal"
          ],
          "p_beat_spy_pct": 47,
          "p_top3_pct": 15,
          "rank": 11,
          "recent_return_interpretation": "fundamental_deterioration"
        },
        {
          "evidence": [
            "Cybersecurity gained 5.12% relative to SPY in the latest window.",
            "The input supplies no cybersecurity-specific catalyst for the scoring week.",
            "Volatility was 39.15% and the recent drawdown reached 9.53%."
          ],
          "excess_return_p10_pct": -7.5,
          "excess_return_p50_pct": -0.6,
          "excess_return_p90_pct": 7.2,
          "mechanism": "no_edge",
          "option_id": "CYBERSECURITY",
          "origin_lanes": [
            "short_continuation"
          ],
          "p_beat_spy_pct": 46,
          "p_top3_pct": 13,
          "rank": 12,
          "recent_return_interpretation": "no_edge"
        },
        {
          "evidence": [
            "The 4.26% active decline followed an already negative 2.53% prior active return.",
            "Its quality evidence score was only 0.390.",
            "The 9.82% drawdown and lack of an in-window sector catalyst weaken reversal odds."
          ],
          "excess_return_p10_pct": -5,
          "excess_return_p50_pct": -0.7,
          "excess_return_p90_pct": 4.3,
          "mechanism": "no_edge",
          "option_id": "AEROSPACE_DEFENSE",
          "origin_lanes": [
            "shock_reversal"
          ],
          "p_beat_spy_pct": 45,
          "p_top3_pct": 11,
          "rank": 13,
          "recent_return_interpretation": "fundamental_deterioration"
        },
        {
          "evidence": [
            "Solar's 4.02% active pullback followed a negative 3.24% prior active return.",
            "Its quality score was only 0.337 and its 52-week-high distance was -35.66%.",
            "A 2.44 SPY beta and 36.26% volatility amplify downside if yields stay elevated."
          ],
          "excess_return_p10_pct": -7.8,
          "excess_return_p50_pct": -1.1,
          "excess_return_p90_pct": 6.4,
          "mechanism": "no_edge",
          "option_id": "SOLAR",
          "origin_lanes": [
            "shock_reversal"
          ],
          "p_beat_spy_pct": 42,
          "p_top3_pct": 9,
          "rank": 14,
          "recent_return_interpretation": "fundamental_deterioration"
        }
      ],
      "candidate_slate_option_ids": [
        "AEROSPACE_DEFENSE",
        "GOLD",
        "SOLAR",
        "SILVER",
        "INDUSTRIALS",
        "ETHEREUM_ETF",
        "BITCOIN_ETF",
        "SOFTWARE",
        "CYBERSECURITY",
        "SOUTH_AFRICA",
        "HEALTHCARE",
        "CONSUMER_DISCRETIONARY",
        "SP500"
      ],
      "confidence_derivation": "mean selected-active p_beat_spy_pct; 0.5 when all slots fall back to SPY",
      "deterministic_allocation": {
        "allocation_pct": {
          "GOLD": 35,
          "HEALTHCARE": 35,
          "SILVER": 30
        },
        "benchmark_option_id": "SP500",
        "decisions": [
          {
            "eligible": true,
            "option_id": "HEALTHCARE",
            "p_beat_spy_pct": 59,
            "rank": 1,
            "reason": "eligible",
            "recent_return_interpretation": "overreaction",
            "selected": true
          },
          {
            "eligible": true,
            "option_id": "GOLD",
            "p_beat_spy_pct": 58,
            "rank": 2,
            "reason": "eligible",
            "recent_return_interpretation": "overreaction",
            "selected": true
          },
          {
            "eligible": true,
            "option_id": "SILVER",
            "p_beat_spy_pct": 56,
            "rank": 3,
            "reason": "eligible",
            "recent_return_interpretation": "overreaction",
            "selected": true
          },
          {
            "eligible": true,
            "option_id": "BIOTECH",
            "p_beat_spy_pct": 55,
            "rank": 4,
            "reason": "outside_available_slots",
            "recent_return_interpretation": "overreaction",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "SOUTH_AFRICA",
            "p_beat_spy_pct": 54,
            "rank": 5,
            "reason": "below_probability_hurdle",
            "recent_return_interpretation": "overreaction",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "BITCOIN_ETF",
            "p_beat_spy_pct": 52,
            "rank": 6,
            "reason": "not_overreaction",
            "recent_return_interpretation": "supported_continuation",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "ETHEREUM_ETF",
            "p_beat_spy_pct": 51,
            "rank": 7,
            "reason": "not_overreaction",
            "recent_return_interpretation": "supported_continuation",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "SOFTWARE",
            "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": "CONSUMER_DISCRETIONARY",
            "p_beat_spy_pct": 49,
            "rank": 10,
            "reason": "below_probability_hurdle",
            "recent_return_interpretation": "overreaction",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "INDUSTRIALS",
            "p_beat_spy_pct": 47,
            "rank": 11,
            "reason": "not_overreaction",
            "recent_return_interpretation": "fundamental_deterioration",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "CYBERSECURITY",
            "p_beat_spy_pct": 46,
            "rank": 12,
            "reason": "not_overreaction",
            "recent_return_interpretation": "no_edge",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "AEROSPACE_DEFENSE",
            "p_beat_spy_pct": 45,
            "rank": 13,
            "reason": "not_overreaction",
            "recent_return_interpretation": "fundamental_deterioration",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "SOLAR",
            "p_beat_spy_pct": 42,
            "rank": 14,
            "reason": "not_overreaction",
            "recent_return_interpretation": "fundamental_deterioration",
            "selected": false
          }
        ],
        "methodology_version": "portfolio-v3.0",
        "minimum_beat_spy_probability_pct": 55,
        "selected_active_option_ids": [
          "HEALTHCARE",
          "GOLD",
          "SILVER"
        ],
        "slot_weights_pct": [
          35,
          35,
          30
        ]
      },
      "dispersion_state": "normal",
      "dominant_pattern": "mixed",
      "market_rationale": "Breadth is weak despite positive index momentum, while high inflation, a 4.75% ten-year yield, and imminent labor and PPI releases create two-way risk. The strongest one-week opportunities are selective reversals with established prior strength rather than extrapolation of recent winners.",
      "methodology_version": "portfolio-v3.0",
      "prefer_spy": false,
      "top3_option_ids": [
        "HEALTHCARE",
        "GOLD",
        "SILVER"
      ]
    }
  },
  "mode": "closed_capability",
  "model_id": "openai-gpt-5-6-sol",
  "portfolio": [
    {
      "allocation_pct": 35,
      "option_id": "HEALTHCARE",
      "rationale": "V3 selected model rank 1: overreaction with 59% estimated probability of beating SPY."
    },
    {
      "allocation_pct": 35,
      "option_id": "GOLD",
      "rationale": "V3 selected model rank 2: overreaction with 58% estimated probability of beating SPY."
    },
    {
      "allocation_pct": 30,
      "option_id": "SILVER",
      "rationale": "V3 selected model rank 3: overreaction with 56% estimated probability of beating SPY."
    }
  ],
  "portfolio_rationale": "Healthcare offers the strongest defensive reversal profile, while gold and silver combine extreme pullbacks with established medium-horizon relative strength. These signals are more compelling than chasing software or cybersecurity after sharp gains, though all three selections retain meaningful macro sensitivity.",
  "provider": "openai",
  "rationale_summary": "Breadth is weak despite positive index momentum, while high inflation, a 4.75% ten-year yield, and imminent labor and PPI releases create two-way risk. The strongest one-week opportunities are selective reversals with established prior strength rather than extrapolation of recent winners.",
  "replicate_count": 1,
  "replicate_index": 1,
  "round_id": "CB-2026-09-01-1W",
  "run_type": "official",
  "usage": {
    "input_tokens": 16662,
    "latency_seconds": 43.84826112398878,
    "output_tokens": 3777,
    "reasoning_tokens": 1432,
    "total_tokens": 20439
  }
}
xAI

Grok 4.3

xai-grok-4-3

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

Top ranks favor supported continuation in software and cybersecurity; no candidates meet both overreaction label and >=55% p_beat_spy threshold for non-SPY allocation.

Mixed signals with short-term continuation in software and cybersecurity offset by commodity pullbacks and broad equity weakness; limited one-week catalysts favor selective reversal tests over broad continuation.

Portfolio
  • S&P 500 (SPY): 100% - Deterministic SPY fallback for V3 slots without an eligible active candidate.
Key Risks
  • FOMC meeting on September 15-16 may shift rate expectations
  • August employment data on September 4 could alter growth views
  • Commodity volatility from oil and metals price swings
Validated JSON
{
  "confidence": 0.5,
  "is_official_score": true,
  "key_risks": [
    "FOMC meeting on September 15-16 may shift rate expectations",
    "August employment data on September 4 could alter growth views",
    "Commodity volatility from oil and metals price swings"
  ],
  "metadata": {
    "portfolio_v3": {
      "candidate_assessments": [
        {
          "evidence": [
            "7.41% recent return with prior active strength"
          ],
          "excess_return_p10_pct": -1.8,
          "excess_return_p50_pct": 1.4,
          "excess_return_p90_pct": 4.9,
          "mechanism": "continuation",
          "option_id": "SOFTWARE",
          "origin_lanes": [
            "short_continuation"
          ],
          "p_beat_spy_pct": 62,
          "p_top3_pct": 68,
          "rank": 1,
          "recent_return_interpretation": "supported_continuation"
        },
        {
          "evidence": [
            "8.32% recent return and quality pullback context"
          ],
          "excess_return_p10_pct": -2.1,
          "excess_return_p50_pct": 1.1,
          "excess_return_p90_pct": 4.6,
          "mechanism": "continuation",
          "option_id": "CYBERSECURITY",
          "origin_lanes": [
            "short_continuation"
          ],
          "p_beat_spy_pct": 59,
          "p_top3_pct": 61,
          "rank": 2,
          "recent_return_interpretation": "supported_continuation"
        },
        {
          "evidence": [
            "0.47% recent return with prior active 23.05%"
          ],
          "excess_return_p10_pct": -3.4,
          "excess_return_p50_pct": 0.3,
          "excess_return_p90_pct": 4.1,
          "mechanism": "continuation",
          "option_id": "BITCOIN_ETF",
          "origin_lanes": [
            "medium_strength"
          ],
          "p_beat_spy_pct": 48,
          "p_top3_pct": 42,
          "rank": 3,
          "recent_return_interpretation": "no_edge"
        },
        {
          "evidence": [
            "0.38% recent return with prior active 30.42%"
          ],
          "excess_return_p10_pct": -4.2,
          "excess_return_p50_pct": 0.1,
          "excess_return_p90_pct": 4.3,
          "mechanism": "continuation",
          "option_id": "ETHEREUM_ETF",
          "origin_lanes": [
            "medium_strength"
          ],
          "p_beat_spy_pct": 46,
          "p_top3_pct": 39,
          "rank": 4,
          "recent_return_interpretation": "no_edge"
        },
        {
          "evidence": [
            "0.13% recent return as benchmark"
          ],
          "excess_return_p10_pct": -2.5,
          "excess_return_p50_pct": 0,
          "excess_return_p90_pct": 2.5,
          "mechanism": "no_edge",
          "option_id": "SP500",
          "origin_lanes": [
            "benchmark"
          ],
          "p_beat_spy_pct": 50,
          "p_top3_pct": 35,
          "rank": 5,
          "recent_return_interpretation": "no_edge"
        },
        {
          "evidence": [
            "-1.15% recent return with volume dislocation"
          ],
          "excess_return_p10_pct": -3.1,
          "excess_return_p50_pct": -0.4,
          "excess_return_p90_pct": 2.8,
          "mechanism": "reversal",
          "option_id": "CONSUMER_DISCRETIONARY",
          "origin_lanes": [
            "volume_dislocation"
          ],
          "p_beat_spy_pct": 44,
          "p_top3_pct": 28,
          "rank": 6,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "-1.73% recent return with volume dislocation"
          ],
          "excess_return_p10_pct": -3.3,
          "excess_return_p50_pct": -0.5,
          "excess_return_p90_pct": 2.6,
          "mechanism": "reversal",
          "option_id": "HEALTHCARE",
          "origin_lanes": [
            "volume_dislocation"
          ],
          "p_beat_spy_pct": 43,
          "p_top3_pct": 25,
          "rank": 7,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "-1.83% recent return and quality pullback"
          ],
          "excess_return_p10_pct": -3.8,
          "excess_return_p50_pct": -0.7,
          "excess_return_p90_pct": 2.4,
          "mechanism": "reversal",
          "option_id": "INDUSTRIALS",
          "origin_lanes": [
            "shock_reversal"
          ],
          "p_beat_spy_pct": 41,
          "p_top3_pct": 22,
          "rank": 8,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "-2.54% recent return with shock_reversal lane"
          ],
          "excess_return_p10_pct": -4.1,
          "excess_return_p50_pct": -0.9,
          "excess_return_p90_pct": 2.2,
          "mechanism": "reversal",
          "option_id": "AEROSPACE_DEFENSE",
          "origin_lanes": [
            "shock_reversal"
          ],
          "p_beat_spy_pct": 39,
          "p_top3_pct": 19,
          "rank": 9,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "-2.77% recent return with quality_pullback"
          ],
          "excess_return_p10_pct": -4.4,
          "excess_return_p50_pct": -1.1,
          "excess_return_p90_pct": 2,
          "mechanism": "reversal",
          "option_id": "SOUTH_AFRICA",
          "origin_lanes": [
            "quality_pullback"
          ],
          "p_beat_spy_pct": 37,
          "p_top3_pct": 16,
          "rank": 10,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "-4.61% recent return with quality evidence 0.760"
          ],
          "excess_return_p10_pct": -5.2,
          "excess_return_p50_pct": -1.4,
          "excess_return_p90_pct": 1.8,
          "mechanism": "reversal",
          "option_id": "GOLD",
          "origin_lanes": [
            "shock_reversal",
            "quality_pullback"
          ],
          "p_beat_spy_pct": 35,
          "p_top3_pct": 14,
          "rank": 11,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "-2.37% recent return with quality evidence 0.761"
          ],
          "excess_return_p10_pct": -5.5,
          "excess_return_p50_pct": -1.6,
          "excess_return_p90_pct": 1.6,
          "mechanism": "reversal",
          "option_id": "SILVER",
          "origin_lanes": [
            "shock_reversal",
            "medium_strength",
            "quality_pullback"
          ],
          "p_beat_spy_pct": 33,
          "p_top3_pct": 12,
          "rank": 12,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "-2.62% recent return with low quality score 0.337"
          ],
          "excess_return_p10_pct": -6.1,
          "excess_return_p50_pct": -1.9,
          "excess_return_p90_pct": 1.3,
          "mechanism": "reversal",
          "option_id": "SOLAR",
          "origin_lanes": [
            "shock_reversal"
          ],
          "p_beat_spy_pct": 31,
          "p_top3_pct": 10,
          "rank": 13,
          "recent_return_interpretation": "fundamental_deterioration"
        }
      ],
      "candidate_slate_option_ids": [
        "AEROSPACE_DEFENSE",
        "GOLD",
        "SOLAR",
        "SILVER",
        "INDUSTRIALS",
        "ETHEREUM_ETF",
        "BITCOIN_ETF",
        "SOFTWARE",
        "CYBERSECURITY",
        "SOUTH_AFRICA",
        "HEALTHCARE",
        "CONSUMER_DISCRETIONARY",
        "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": "SOFTWARE",
            "p_beat_spy_pct": 62,
            "rank": 1,
            "reason": "not_overreaction",
            "recent_return_interpretation": "supported_continuation",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "CYBERSECURITY",
            "p_beat_spy_pct": 59,
            "rank": 2,
            "reason": "not_overreaction",
            "recent_return_interpretation": "supported_continuation",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "BITCOIN_ETF",
            "p_beat_spy_pct": 48,
            "rank": 3,
            "reason": "not_overreaction",
            "recent_return_interpretation": "no_edge",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "ETHEREUM_ETF",
            "p_beat_spy_pct": 46,
            "rank": 4,
            "reason": "not_overreaction",
            "recent_return_interpretation": "no_edge",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "SP500",
            "p_beat_spy_pct": 50,
            "rank": 5,
            "reason": "benchmark_fallback",
            "recent_return_interpretation": "no_edge",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "CONSUMER_DISCRETIONARY",
            "p_beat_spy_pct": 44,
            "rank": 6,
            "reason": "below_probability_hurdle",
            "recent_return_interpretation": "overreaction",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "HEALTHCARE",
            "p_beat_spy_pct": 43,
            "rank": 7,
            "reason": "below_probability_hurdle",
            "recent_return_interpretation": "overreaction",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "INDUSTRIALS",
            "p_beat_spy_pct": 41,
            "rank": 8,
            "reason": "below_probability_hurdle",
            "recent_return_interpretation": "overreaction",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "AEROSPACE_DEFENSE",
            "p_beat_spy_pct": 39,
            "rank": 9,
            "reason": "below_probability_hurdle",
            "recent_return_interpretation": "overreaction",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "SOUTH_AFRICA",
            "p_beat_spy_pct": 37,
            "rank": 10,
            "reason": "below_probability_hurdle",
            "recent_return_interpretation": "overreaction",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "GOLD",
            "p_beat_spy_pct": 35,
            "rank": 11,
            "reason": "below_probability_hurdle",
            "recent_return_interpretation": "overreaction",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "SILVER",
            "p_beat_spy_pct": 33,
            "rank": 12,
            "reason": "below_probability_hurdle",
            "recent_return_interpretation": "overreaction",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "SOLAR",
            "p_beat_spy_pct": 31,
            "rank": 13,
            "reason": "not_overreaction",
            "recent_return_interpretation": "fundamental_deterioration",
            "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": "Mixed signals with short-term continuation in software and cybersecurity offset by commodity pullbacks and broad equity weakness; limited one-week catalysts favor selective reversal tests over broad continuation.",
      "methodology_version": "portfolio-v3.0",
      "prefer_spy": true,
      "top3_option_ids": [
        "SOFTWARE",
        "CYBERSECURITY",
        "BITCOIN_ETF"
      ]
    }
  },
  "mode": "closed_capability",
  "model_id": "xai-grok-4-3",
  "portfolio": [
    {
      "allocation_pct": 100,
      "option_id": "SP500",
      "rationale": "Deterministic SPY fallback for V3 slots without an eligible active candidate."
    }
  ],
  "portfolio_rationale": "Top ranks favor supported continuation in software and cybersecurity; no candidates meet both overreaction label and >=55% p_beat_spy threshold for non-SPY allocation.",
  "provider": "xai",
  "rationale_summary": "Mixed signals with short-term continuation in software and cybersecurity offset by commodity pullbacks and broad equity weakness; limited one-week catalysts favor selective reversal tests over broad continuation.",
  "replicate_count": 1,
  "replicate_index": 1,
  "round_id": "CB-2026-09-01-1W",
  "run_type": "official",
  "usage": {
    "input_tokens": 16852,
    "latency_seconds": 14.417216125060804,
    "output_tokens": 1784,
    "reasoning_tokens": 377,
    "total_tokens": 19013
  }
}
xAI

Grok 4.5

xai-grok-4-5

3 holdings Healthcare Sector (XLV)
Healthcare Sector (XLV) 35% Gold (IAU) 35% Silver (SLV) 30%
Confidence
0.59
Run Type
official
Rationale

Low dispersion and weak breadth favor limited reversal exposure in high-quality pullbacks (healthcare volume washout, gold/silver after strong priors) over chasing short-term software/cyber momentum or deep underperformers with weaker fundamentals; most slots likely default to SPY under the eligibility rule.

Low cross-sectional dispersion with weak breadth (RSP lagging SPY), sticky inflation prints, upcoming employment data and FOMC later; recent sector/metal pullbacks after prior strength favor selective mean-reversion over pure momentum continuation into the short window.

Portfolio
  • Healthcare Sector (XLV): 35% - V3 selected model rank 1: overreaction with 62% estimated probability of beating SPY.
  • Gold (IAU): 35% - V3 selected model rank 2: overreaction with 58% estimated probability of beating SPY.
  • Silver (SLV): 30% - V3 selected model rank 3: overreaction with 57% estimated probability of beating SPY.
Key Risks
  • August employment report and sticky PCE/CPI path could reprice rates higher into the window
  • Continued narrow leadership and low positive-asset share may keep breadth weak
  • Elevated vol in metals and crypto can amplify any risk-off move
  • Labor Day shortened week and pre-FOMC positioning may mute mean reversion
Validated JSON
{
  "confidence": 0.59,
  "is_official_score": true,
  "key_risks": [
    "August employment report and sticky PCE/CPI path could reprice rates higher into the window",
    "Continued narrow leadership and low positive-asset share may keep breadth weak",
    "Elevated vol in metals and crypto can amplify any risk-off move",
    "Labor Day shortened week and pre-FOMC positioning may mute mean reversion"
  ],
  "metadata": {
    "portfolio_v3": {
      "candidate_assessments": [
        {
          "evidence": [
            "Active return -2.85% with volume z -1.40 after prior active +5.27%",
            "Quality evidence score 0.734 with high prior active and pullback ranks",
            "Near-zero/negative SPY correlation and beta"
          ],
          "excess_return_p10_pct": -1.8,
          "excess_return_p50_pct": 0.9,
          "excess_return_p90_pct": 3.2,
          "mechanism": "reversal",
          "option_id": "HEALTHCARE",
          "origin_lanes": [
            "volume_dislocation"
          ],
          "p_beat_spy_pct": 62,
          "p_top3_pct": 28,
          "rank": 1,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "Recent -4.61% / active -4.02% after prior active +10.08%",
            "Quality evidence score 0.760 with top prior and pullback ranks",
            "52w-high distance -17.58% with moderate SPY corr"
          ],
          "excess_return_p10_pct": -2.5,
          "excess_return_p50_pct": 0.7,
          "excess_return_p90_pct": 4,
          "mechanism": "reversal",
          "option_id": "GOLD",
          "origin_lanes": [
            "shock_reversal",
            "quality_pullback"
          ],
          "p_beat_spy_pct": 58,
          "p_top3_pct": 24,
          "rank": 2,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "Active -3.80% after prior active +16.59%",
            "Quality score 0.761 with extreme prior/pullback ranks",
            "Horizon vol elevated but drawdown shallow relative to prior run"
          ],
          "excess_return_p10_pct": -3,
          "excess_return_p50_pct": 0.6,
          "excess_return_p90_pct": 4.5,
          "mechanism": "reversal",
          "option_id": "SILVER",
          "origin_lanes": [
            "shock_reversal",
            "medium_strength",
            "quality_pullback"
          ],
          "p_beat_spy_pct": 57,
          "p_top3_pct": 22,
          "rank": 3,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "Active -3.24% after prior +10.90%",
            "Quality evidence 0.763",
            "Moderate beta and contained max drawdown"
          ],
          "excess_return_p10_pct": -2.8,
          "excess_return_p50_pct": 0.5,
          "excess_return_p90_pct": 3.8,
          "mechanism": "reversal",
          "option_id": "SOUTH_AFRICA",
          "origin_lanes": [
            "quality_pullback"
          ],
          "p_beat_spy_pct": 55,
          "p_top3_pct": 18,
          "rank": 4,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "Active -3.31% recent after mild prior lag",
            "Quality score 0.531 with high recent pullback rank",
            "Lower horizon vol than many cyclicals"
          ],
          "excess_return_p10_pct": -2.2,
          "excess_return_p50_pct": 0.3,
          "excess_return_p90_pct": 2.5,
          "mechanism": "reversal",
          "option_id": "INDUSTRIALS",
          "origin_lanes": [
            "shock_reversal"
          ],
          "p_beat_spy_pct": 53,
          "p_top3_pct": 14,
          "rank": 5,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "Active -1.68% with volume z -1.40",
            "Prior active +2.81% and quality 0.646",
            "SPY beta near 1.0"
          ],
          "excess_return_p10_pct": -2,
          "excess_return_p50_pct": 0.25,
          "excess_return_p90_pct": 2.4,
          "mechanism": "reversal",
          "option_id": "CONSUMER_DISCRETIONARY",
          "origin_lanes": [
            "volume_dislocation"
          ],
          "p_beat_spy_pct": 52,
          "p_top3_pct": 12,
          "rank": 6,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "Active -4.26% and max drawdown -9.82%",
            "Highest recent pullback rank in quality table",
            "Lower SPY corr 0.42"
          ],
          "excess_return_p10_pct": -2.6,
          "excess_return_p50_pct": 0.2,
          "excess_return_p90_pct": 2.8,
          "mechanism": "reversal",
          "option_id": "AEROSPACE_DEFENSE",
          "origin_lanes": [
            "shock_reversal"
          ],
          "p_beat_spy_pct": 51,
          "p_top3_pct": 11,
          "rank": 7,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "Prior active +23.05% with recent near-flat",
            "Quality 0.594 and volume z positive",
            "Low SPY corr 0.35"
          ],
          "excess_return_p10_pct": -3.5,
          "excess_return_p50_pct": 0.1,
          "excess_return_p90_pct": 4.2,
          "mechanism": "continuation",
          "option_id": "BITCOIN_ETF",
          "origin_lanes": [
            "medium_strength"
          ],
          "p_beat_spy_pct": 48,
          "p_top3_pct": 15,
          "rank": 8,
          "recent_return_interpretation": "supported_continuation"
        },
        {
          "evidence": [
            "Prior active +30.42% strongest in slate",
            "Recent active near zero",
            "Elevated vol 52%"
          ],
          "excess_return_p10_pct": -4,
          "excess_return_p50_pct": 0,
          "excess_return_p90_pct": 4.8,
          "mechanism": "continuation",
          "option_id": "ETHEREUM_ETF",
          "origin_lanes": [
            "medium_strength"
          ],
          "p_beat_spy_pct": 47,
          "p_top3_pct": 14,
          "rank": 9,
          "recent_return_interpretation": "supported_continuation"
        },
        {
          "evidence": [
            "Recent +7.41% / active +6.88% after prior +6.12%",
            "Salesforce guidance and NVIDIA strength in briefing",
            "High vol and low recent pullback rank"
          ],
          "excess_return_p10_pct": -3.2,
          "excess_return_p50_pct": -0.2,
          "excess_return_p90_pct": 3.5,
          "mechanism": "continuation",
          "option_id": "SOFTWARE",
          "origin_lanes": [
            "short_continuation"
          ],
          "p_beat_spy_pct": 45,
          "p_top3_pct": 16,
          "rank": 10,
          "recent_return_interpretation": "supported_continuation"
        },
        {
          "evidence": [
            "Recent +8.32% active +5.12%",
            "Quality score low at 0.369 due to weak pullback/vol ranks",
            "Distance to 52w high only -2.01%"
          ],
          "excess_return_p10_pct": -3.5,
          "excess_return_p50_pct": -0.3,
          "excess_return_p90_pct": 3.8,
          "mechanism": "continuation",
          "option_id": "CYBERSECURITY",
          "origin_lanes": [
            "short_continuation"
          ],
          "p_beat_spy_pct": 44,
          "p_top3_pct": 13,
          "rank": 11,
          "recent_return_interpretation": "supported_continuation"
        },
        {
          "evidence": [
            "Active -4.02% with prior also negative",
            "Quality 0.337 and deep 52w distance -35.66%",
            "High beta 2.44 and vol"
          ],
          "excess_return_p10_pct": -4.5,
          "excess_return_p50_pct": -0.4,
          "excess_return_p90_pct": 3,
          "mechanism": "no_edge",
          "option_id": "SOLAR",
          "origin_lanes": [
            "shock_reversal"
          ],
          "p_beat_spy_pct": 42,
          "p_top3_pct": 8,
          "rank": 12,
          "recent_return_interpretation": "fundamental_deterioration"
        },
        {
          "evidence": [
            "Benchmark with 0.13% recent and low 10.3% vol",
            "Positive asset share 5s only 39%",
            "Dispersion 1.92%"
          ],
          "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": 13,
          "recent_return_interpretation": "no_edge"
        }
      ],
      "candidate_slate_option_ids": [
        "AEROSPACE_DEFENSE",
        "GOLD",
        "SOLAR",
        "SILVER",
        "INDUSTRIALS",
        "ETHEREUM_ETF",
        "BITCOIN_ETF",
        "SOFTWARE",
        "CYBERSECURITY",
        "SOUTH_AFRICA",
        "HEALTHCARE",
        "CONSUMER_DISCRETIONARY",
        "SP500"
      ],
      "confidence_derivation": "mean selected-active p_beat_spy_pct; 0.5 when all slots fall back to SPY",
      "deterministic_allocation": {
        "allocation_pct": {
          "GOLD": 35,
          "HEALTHCARE": 35,
          "SILVER": 30
        },
        "benchmark_option_id": "SP500",
        "decisions": [
          {
            "eligible": true,
            "option_id": "HEALTHCARE",
            "p_beat_spy_pct": 62,
            "rank": 1,
            "reason": "eligible",
            "recent_return_interpretation": "overreaction",
            "selected": true
          },
          {
            "eligible": true,
            "option_id": "GOLD",
            "p_beat_spy_pct": 58,
            "rank": 2,
            "reason": "eligible",
            "recent_return_interpretation": "overreaction",
            "selected": true
          },
          {
            "eligible": true,
            "option_id": "SILVER",
            "p_beat_spy_pct": 57,
            "rank": 3,
            "reason": "eligible",
            "recent_return_interpretation": "overreaction",
            "selected": true
          },
          {
            "eligible": true,
            "option_id": "SOUTH_AFRICA",
            "p_beat_spy_pct": 55,
            "rank": 4,
            "reason": "outside_available_slots",
            "recent_return_interpretation": "overreaction",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "INDUSTRIALS",
            "p_beat_spy_pct": 53,
            "rank": 5,
            "reason": "below_probability_hurdle",
            "recent_return_interpretation": "overreaction",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "CONSUMER_DISCRETIONARY",
            "p_beat_spy_pct": 52,
            "rank": 6,
            "reason": "below_probability_hurdle",
            "recent_return_interpretation": "overreaction",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "AEROSPACE_DEFENSE",
            "p_beat_spy_pct": 51,
            "rank": 7,
            "reason": "below_probability_hurdle",
            "recent_return_interpretation": "overreaction",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "BITCOIN_ETF",
            "p_beat_spy_pct": 48,
            "rank": 8,
            "reason": "not_overreaction",
            "recent_return_interpretation": "supported_continuation",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "ETHEREUM_ETF",
            "p_beat_spy_pct": 47,
            "rank": 9,
            "reason": "not_overreaction",
            "recent_return_interpretation": "supported_continuation",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "SOFTWARE",
            "p_beat_spy_pct": 45,
            "rank": 10,
            "reason": "not_overreaction",
            "recent_return_interpretation": "supported_continuation",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "CYBERSECURITY",
            "p_beat_spy_pct": 44,
            "rank": 11,
            "reason": "not_overreaction",
            "recent_return_interpretation": "supported_continuation",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "SOLAR",
            "p_beat_spy_pct": 42,
            "rank": 12,
            "reason": "not_overreaction",
            "recent_return_interpretation": "fundamental_deterioration",
            "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": [
          "HEALTHCARE",
          "GOLD",
          "SILVER"
        ],
        "slot_weights_pct": [
          35,
          35,
          30
        ]
      },
      "dispersion_state": "low",
      "dominant_pattern": "mixed",
      "market_rationale": "Low cross-sectional dispersion with weak breadth (RSP lagging SPY), sticky inflation prints, upcoming employment data and FOMC later; recent sector/metal pullbacks after prior strength favor selective mean-reversion over pure momentum continuation into the short window.",
      "methodology_version": "portfolio-v3.0",
      "prefer_spy": true,
      "top3_option_ids": [
        "HEALTHCARE",
        "GOLD",
        "SILVER"
      ]
    }
  },
  "mode": "closed_capability",
  "model_id": "xai-grok-4-5",
  "portfolio": [
    {
      "allocation_pct": 35,
      "option_id": "HEALTHCARE",
      "rationale": "V3 selected model rank 1: overreaction with 62% estimated probability of beating SPY."
    },
    {
      "allocation_pct": 35,
      "option_id": "GOLD",
      "rationale": "V3 selected model rank 2: overreaction with 58% estimated probability of beating SPY."
    },
    {
      "allocation_pct": 30,
      "option_id": "SILVER",
      "rationale": "V3 selected model rank 3: overreaction with 57% estimated probability of beating SPY."
    }
  ],
  "portfolio_rationale": "Low dispersion and weak breadth favor limited reversal exposure in high-quality pullbacks (healthcare volume washout, gold/silver after strong priors) over chasing short-term software/cyber momentum or deep underperformers with weaker fundamentals; most slots likely default to SPY under the eligibility rule.",
  "provider": "xai",
  "rationale_summary": "Low cross-sectional dispersion with weak breadth (RSP lagging SPY), sticky inflation prints, upcoming employment data and FOMC later; recent sector/metal pullbacks after prior strength favor selective mean-reversion over pure momentum continuation into the short window.",
  "replicate_count": 1,
  "replicate_index": 1,
  "round_id": "CB-2026-09-01-1W",
  "run_type": "official",
  "usage": {
    "input_tokens": 17901,
    "latency_seconds": 37.274974612053484,
    "output_tokens": 2649,
    "reasoning_tokens": 397,
    "total_tokens": 20947
  }
}
xAI

Grok 4.6

xai-grok-4-6

3 holdings Gold (IAU)
Gold (IAU) 35% Healthcare Sector (XLV) 35% Silver (SLV) 30%
Confidence
0.56
Run Type
official
Rationale

Low cross-sectional dispersion and a holiday-shortened week into the August employment report favor SPY as the default. The only candidates with a fair one-week reversal case versus a still-strong prior trend are gold, healthcare (volume dislocation, low SPY beta), and silver; even those edges are modest versus 10% SPY vol. High-vol software/cyber continuation is already extended and is not treated as an overreaction.

SPY is near a 52-week high with low 5-session active-return dispersion (1.92%) and only 39% of assets positive over 5 sessions after a stronger 21-session breadth. Sticky PCE/CPI, a hawkish Warsh speech, and the August jobs print on Sep 4 dominate a short holiday-shortened week; equal-weight lagged cap-weight, so mean-reversion in quality pullbacks is more plausible than chasing high-vol continuations.

Portfolio
  • Gold (IAU): 35% - V3 selected model rank 1: overreaction with 58% estimated probability of beating SPY.
  • Healthcare Sector (XLV): 35% - V3 selected model rank 2: overreaction with 56% estimated probability of beating SPY.
  • Silver (SLV): 30% - V3 selected model rank 3: overreaction with 55% estimated probability of beating SPY.
Key Risks
  • August Employment Situation on Sep 4 can reprice rates and risk assets before the Sep 10 exit
  • Sticky 3.7% PCE and Warsh’s 2% objective raise odds of a hawkish jobs reaction
  • Labor Day closes NYSE Sep 7, compressing liquidity around Broadcom results and EIA prints
  • Precious-metals bounce can fail if the dollar’s 5s +0.79% and 10-year at 4.75% extend
Validated JSON
{
  "confidence": 0.5633,
  "is_official_score": true,
  "key_risks": [
    "August Employment Situation on Sep 4 can reprice rates and risk assets before the Sep 10 exit",
    "Sticky 3.7% PCE and Warsh’s 2% objective raise odds of a hawkish jobs reaction",
    "Labor Day closes NYSE Sep 7, compressing liquidity around Broadcom results and EIA prints",
    "Precious-metals bounce can fail if the dollar’s 5s +0.79% and 10-year at 4.75% extend"
  ],
  "metadata": {
    "portfolio_v3": {
      "candidate_assessments": [
        {
          "evidence": [
            "IAU recent return -4.61% with prior active +10.08% and quality evidence score 0.760",
            "5s IAU return -3.55% versus SPY +0.47% while 21s gold still +8.29%",
            "Volume z -0.56 and 52w distance -17.58% after a shallow 21s drawdown of -4.61%"
          ],
          "excess_return_p10_pct": -2.8,
          "excess_return_p50_pct": 0.6,
          "excess_return_p90_pct": 3.4,
          "mechanism": "reversal",
          "option_id": "GOLD",
          "origin_lanes": [
            "shock_reversal",
            "quality_pullback"
          ],
          "p_beat_spy_pct": 58,
          "p_top3_pct": 22,
          "rank": 1,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "XLV volume z -1.40 with SPY corr -0.13 and beta -0.19",
            "Prior 16s active +5.27% versus recent active -2.85% and quality score 0.734",
            "Near 52w high distance only -2.93% after a modest -1.73% 3s drop"
          ],
          "excess_return_p10_pct": -1.6,
          "excess_return_p50_pct": 0.4,
          "excess_return_p90_pct": 2.1,
          "mechanism": "reversal",
          "option_id": "HEALTHCARE",
          "origin_lanes": [
            "volume_dislocation"
          ],
          "p_beat_spy_pct": 56,
          "p_top3_pct": 18,
          "rank": 2,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "SLV prior active +16.59% with quality score 0.761 and recent return -2.37%",
            "Horizon vol 37.46% and 52w distance -43.06% after only -4.38% 21s max drawdown",
            "Volume z near 0.03, not a liquidation spike"
          ],
          "excess_return_p10_pct": -3.6,
          "excess_return_p50_pct": 0.5,
          "excess_return_p90_pct": 4.2,
          "mechanism": "reversal",
          "option_id": "SILVER",
          "origin_lanes": [
            "shock_reversal",
            "medium_strength",
            "quality_pullback"
          ],
          "p_beat_spy_pct": 55,
          "p_top3_pct": 16,
          "rank": 3,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "EZA quality score 0.763 with prior active +10.90% and recent -2.77%",
            "21s max drawdown only -3.77% versus 52w distance -11.71%",
            "SPY beta 1.52 and corr 0.67 leave it exposed to a risk-off jobs print"
          ],
          "excess_return_p10_pct": -3.2,
          "excess_return_p50_pct": 0.2,
          "excess_return_p90_pct": 3.1,
          "mechanism": "reversal",
          "option_id": "SOUTH_AFRICA",
          "origin_lanes": [
            "quality_pullback"
          ],
          "p_beat_spy_pct": 52,
          "p_top3_pct": 12,
          "rank": 4,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "XLY volume z -1.40 with recent -1.15% after prior active +2.81%",
            "Quality score 0.646 and 52w distance -5.99%",
            "July retail sales down 0.6% and weak housing starts cut against a clean bounce"
          ],
          "excess_return_p10_pct": -2.4,
          "excess_return_p50_pct": 0,
          "excess_return_p90_pct": 1.8,
          "mechanism": "reversal",
          "option_id": "CONSUMER_DISCRETIONARY",
          "origin_lanes": [
            "volume_dislocation"
          ],
          "p_beat_spy_pct": 48,
          "p_top3_pct": 10,
          "rank": 5,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "XLI recent -1.83% and active 5s -3.31% with quality 0.531",
            "21s max drawdown -6.10% matching 52w distance",
            "July industrial production only +0.2% and housing starts -12.4%"
          ],
          "excess_return_p10_pct": -2.2,
          "excess_return_p50_pct": -0.1,
          "excess_return_p90_pct": 1.6,
          "mechanism": "reversal",
          "option_id": "INDUSTRIALS",
          "origin_lanes": [
            "shock_reversal"
          ],
          "p_beat_spy_pct": 46,
          "p_top3_pct": 9,
          "rank": 6,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "ITA recent -2.54% with prior active -2.53% and quality 0.390",
            "21s max drawdown -9.82% equals 52w distance",
            "SPY corr only 0.42 but vol 23.51% is high for a one-week mean reversion"
          ],
          "excess_return_p10_pct": -2.8,
          "excess_return_p50_pct": -0.2,
          "excess_return_p90_pct": 2,
          "mechanism": "reversal",
          "option_id": "AEROSPACE_DEFENSE",
          "origin_lanes": [
            "shock_reversal"
          ],
          "p_beat_spy_pct": 44,
          "p_top3_pct": 8,
          "rank": 7,
          "recent_return_interpretation": "overreaction"
        },
        {
          "evidence": [
            "SPY 5s +0.47% and 21s +2.68% with 52w distance only -1.39%",
            "Volume z -1.22 and horizon vol 10.30%",
            "August S&P +2.6% with nearly every sector lower on Aug 31"
          ],
          "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": 15,
          "rank": 8,
          "recent_return_interpretation": "no_edge"
        },
        {
          "evidence": [
            "IBIT prior active +23.05% with recent +0.47% and quality 0.594",
            "Horizon vol 38.78% and 52w distance -37.34%",
            "SPY corr 0.35 limits beta to the jobs print but crypto vol is large versus SPY 10.3%"
          ],
          "excess_return_p10_pct": -4.5,
          "excess_return_p50_pct": -0.3,
          "excess_return_p90_pct": 4,
          "mechanism": "continuation",
          "option_id": "BITCOIN_ETF",
          "origin_lanes": [
            "medium_strength"
          ],
          "p_beat_spy_pct": 42,
          "p_top3_pct": 11,
          "rank": 9,
          "recent_return_interpretation": "supported_continuation"
        },
        {
          "evidence": [
            "ETHA prior active +30.42% with recent +0.38% and quality 0.569",
            "Horizon vol 52.06% highest on the slate",
            "52w distance -47.69% after a shallow -2.65% 21s drawdown"
          ],
          "excess_return_p10_pct": -5.5,
          "excess_return_p50_pct": -0.4,
          "excess_return_p90_pct": 4.8,
          "mechanism": "continuation",
          "option_id": "ETHEREUM_ETF",
          "origin_lanes": [
            "medium_strength"
          ],
          "p_beat_spy_pct": 40,
          "p_top3_pct": 10,
          "rank": 10,
          "recent_return_interpretation": "supported_continuation"
        },
        {
          "evidence": [
            "IGV recent +7.41% and active 5s +6.88% after prior +6.12%",
            "Salesforce guided FY27 revenue $46.1–$46.4B; NVIDIA data-center still strong in the briefing",
            "Quality score 0.419 with recent pullback rank 0.000 and vol 39.61%"
          ],
          "excess_return_p10_pct": -3.8,
          "excess_return_p50_pct": -0.5,
          "excess_return_p90_pct": 3.2,
          "mechanism": "continuation",
          "option_id": "SOFTWARE",
          "origin_lanes": [
            "short_continuation"
          ],
          "p_beat_spy_pct": 38,
          "p_top3_pct": 14,
          "rank": 11,
          "recent_return_interpretation": "supported_continuation"
        },
        {
          "evidence": [
            "CIBR recent +8.32% and active 5s +5.12% after prior +3.16%",
            "Quality 0.369 with recent pullback rank 0.015 and 21s drawdown -9.53%",
            "52w distance only -2.01% after a large weekly run"
          ],
          "excess_return_p10_pct": -4,
          "excess_return_p50_pct": -0.6,
          "excess_return_p90_pct": 3,
          "mechanism": "continuation",
          "option_id": "CYBERSECURITY",
          "origin_lanes": [
            "short_continuation"
          ],
          "p_beat_spy_pct": 36,
          "p_top3_pct": 13,
          "rank": 12,
          "recent_return_interpretation": "supported_continuation"
        },
        {
          "evidence": [
            "TAN quality 0.337 with prior active -3.24% and recent -2.62%",
            "Horizon vol 36.26%, beta 2.44, 52w distance -35.66%",
            "21s max drawdown -10.87% with weak prior trend rather than a one-off shock"
          ],
          "excess_return_p10_pct": -4.8,
          "excess_return_p50_pct": -0.8,
          "excess_return_p90_pct": 2.6,
          "mechanism": "no_edge",
          "option_id": "SOLAR",
          "origin_lanes": [
            "shock_reversal"
          ],
          "p_beat_spy_pct": 34,
          "p_top3_pct": 6,
          "rank": 13,
          "recent_return_interpretation": "fundamental_deterioration"
        }
      ],
      "candidate_slate_option_ids": [
        "AEROSPACE_DEFENSE",
        "GOLD",
        "SOLAR",
        "SILVER",
        "INDUSTRIALS",
        "ETHEREUM_ETF",
        "BITCOIN_ETF",
        "SOFTWARE",
        "CYBERSECURITY",
        "SOUTH_AFRICA",
        "HEALTHCARE",
        "CONSUMER_DISCRETIONARY",
        "SP500"
      ],
      "confidence_derivation": "mean selected-active p_beat_spy_pct; 0.5 when all slots fall back to SPY",
      "deterministic_allocation": {
        "allocation_pct": {
          "GOLD": 35,
          "HEALTHCARE": 35,
          "SILVER": 30
        },
        "benchmark_option_id": "SP500",
        "decisions": [
          {
            "eligible": true,
            "option_id": "GOLD",
            "p_beat_spy_pct": 58,
            "rank": 1,
            "reason": "eligible",
            "recent_return_interpretation": "overreaction",
            "selected": true
          },
          {
            "eligible": true,
            "option_id": "HEALTHCARE",
            "p_beat_spy_pct": 56,
            "rank": 2,
            "reason": "eligible",
            "recent_return_interpretation": "overreaction",
            "selected": true
          },
          {
            "eligible": true,
            "option_id": "SILVER",
            "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": "CONSUMER_DISCRETIONARY",
            "p_beat_spy_pct": 48,
            "rank": 5,
            "reason": "below_probability_hurdle",
            "recent_return_interpretation": "overreaction",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "INDUSTRIALS",
            "p_beat_spy_pct": 46,
            "rank": 6,
            "reason": "below_probability_hurdle",
            "recent_return_interpretation": "overreaction",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "AEROSPACE_DEFENSE",
            "p_beat_spy_pct": 44,
            "rank": 7,
            "reason": "below_probability_hurdle",
            "recent_return_interpretation": "overreaction",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "SP500",
            "p_beat_spy_pct": 50,
            "rank": 8,
            "reason": "benchmark_fallback",
            "recent_return_interpretation": "no_edge",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "BITCOIN_ETF",
            "p_beat_spy_pct": 42,
            "rank": 9,
            "reason": "not_overreaction",
            "recent_return_interpretation": "supported_continuation",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "ETHEREUM_ETF",
            "p_beat_spy_pct": 40,
            "rank": 10,
            "reason": "not_overreaction",
            "recent_return_interpretation": "supported_continuation",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "SOFTWARE",
            "p_beat_spy_pct": 38,
            "rank": 11,
            "reason": "not_overreaction",
            "recent_return_interpretation": "supported_continuation",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "CYBERSECURITY",
            "p_beat_spy_pct": 36,
            "rank": 12,
            "reason": "not_overreaction",
            "recent_return_interpretation": "supported_continuation",
            "selected": false
          },
          {
            "eligible": false,
            "option_id": "SOLAR",
            "p_beat_spy_pct": 34,
            "rank": 13,
            "reason": "not_overreaction",
            "recent_return_interpretation": "fundamental_deterioration",
            "selected": false
          }
        ],
        "methodology_version": "portfolio-v3.0",
        "minimum_beat_spy_probability_pct": 55,
        "selected_active_option_ids": [
          "GOLD",
          "HEALTHCARE",
          "SILVER"
        ],
        "slot_weights_pct": [
          35,
          35,
          30
        ]
      },
      "dispersion_state": "low",
      "dominant_pattern": "mixed",
      "market_rationale": "SPY is near a 52-week high with low 5-session active-return dispersion (1.92%) and only 39% of assets positive over 5 sessions after a stronger 21-session breadth. Sticky PCE/CPI, a hawkish Warsh speech, and the August jobs print on Sep 4 dominate a short holiday-shortened week; equal-weight lagged cap-weight, so mean-reversion in quality pullbacks is more plausible than chasing high-vol continuations.",
      "methodology_version": "portfolio-v3.0",
      "prefer_spy": true,
      "top3_option_ids": [
        "GOLD",
        "HEALTHCARE",
        "SILVER"
      ]
    }
  },
  "mode": "closed_capability",
  "model_id": "xai-grok-4-6",
  "portfolio": [
    {
      "allocation_pct": 35,
      "option_id": "GOLD",
      "rationale": "V3 selected model rank 1: overreaction with 58% estimated probability of beating SPY."
    },
    {
      "allocation_pct": 35,
      "option_id": "HEALTHCARE",
      "rationale": "V3 selected model rank 2: overreaction with 56% estimated probability of beating SPY."
    },
    {
      "allocation_pct": 30,
      "option_id": "SILVER",
      "rationale": "V3 selected model rank 3: overreaction with 55% estimated probability of beating SPY."
    }
  ],
  "portfolio_rationale": "Low cross-sectional dispersion and a holiday-shortened week into the August employment report favor SPY as the default. The only candidates with a fair one-week reversal case versus a still-strong prior trend are gold, healthcare (volume dislocation, low SPY beta), and silver; even those edges are modest versus 10% SPY vol. High-vol software/cyber continuation is already extended and is not treated as an overreaction.",
  "provider": "xai",
  "rationale_summary": "SPY is near a 52-week high with low 5-session active-return dispersion (1.92%) and only 39% of assets positive over 5 sessions after a stronger 21-session breadth. Sticky PCE/CPI, a hawkish Warsh speech, and the August jobs print on Sep 4 dominate a short holiday-shortened week; equal-weight lagged cap-weight, so mean-reversion in quality pullbacks is more plausible than chasing high-vol continuations.",
  "replicate_count": 1,
  "replicate_index": 1,
  "round_id": "CB-2026-09-01-1W",
  "run_type": "official",
  "usage": {
    "input_tokens": 18043,
    "latency_seconds": 49.31494274106808,
    "output_tokens": 2659,
    "reasoning_tokens": 542,
    "total_tokens": 21244
  }
}
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
Gold (IAU)35%Silver (SLV)35%South Africa Equities (EZA)30%
0.58
Portfolio round
Claude Opus 5
anthropic-claude-opus-5
Anthropic
Gold (IAU)35%Healthcare Sector (XLV)35%Silver (SLV)30%
0.57
Portfolio round
Gemini 3.1 Pro
google-gemini-3-1-pro
Google
Gold (IAU)35%Silver (SLV)35%Healthcare Sector (XLV)30%
0.58
Portfolio round
GPT-5.6 Sol
openai-gpt-5-6-sol
OpenAI
Healthcare Sector (XLV)35%Gold (IAU)35%Silver (SLV)30%
0.58
Portfolio round
Grok 4.3
xai-grok-4-3
xAI
S&P 500 (SPY)100%
0.50
Portfolio round
Grok 4.5
xai-grok-4-5
xAI
Healthcare Sector (XLV)35%Gold (IAU)35%Silver (SLV)30%
0.59
Portfolio round
Grok 4.6
xai-grok-4-6
xAI
Gold (IAU)35%Healthcare Sector (XLV)35%Silver (SLV)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
25ea4f21542b...0c82dcae
manifest.yaml
8c35a4cdeb4a...70651791
market_data/decision_context_source_history.json
e18856fe73c3...3c1c03a6
market_data/universe_decision_context.csv
15be75afdb44...9e4b2237
market_data/universe_decision_context.json
d28da7ee8d0c...29a90642
market_data/universe_decision_context.md
566b83800509...f6cfe02e
market_data/universe_quality_evidence.json
d610afd94c29...0e0366e2
market_data/universe_quality_evidence.md
9a5455cdebf3...cd53eb4b
options.yaml
1003c5795615...4ce0c729
prompt.md
c86dfbb217e0...c2230431
submission_schema.json
fb15e640b97f...2e10166d