Live portfolios 4 4 open rounds
Completed rounds 2 scored rounds
Beat S&P 500 100.0% all completed tracks
Portfolio Minus S&P 500 +1.48 pp completed average
Portfolio pattern

How Does This Model Tend To Invest?

Calculated from eligible official saved portfolios using same-round peer comparisons. How labels and pills are determined

Saved portfolios 6
Average holdings 3.0
Average largest position 35.0%
Most common top holding Taiwan Equities (EWT)
Typical approach Emerging allocation profile

Emerging pattern across 6 official portfolios. Portfolios averaged 3.0 holdings, a 35.0% largest position, and 61.3% turnover.

Provisional · based on 6 saved portfolios.
Pattern still forming3.0 holdings · 35% top61% turnoverNow: EWT 25%
Risk taking 82.0 / 100 0 defensive to 100 aggressive
Typical largest position 35.0% average top holding
Typical holdings 3.0 average non-zero positions
Portfolio turnover 61.3% average change between rounds
Portfolio Difference / Combined

How different is this portfolio from the group?

A score of 67.2 means about 67.2% of allocation would need to change to match the average portfolio selected by the other models.

Compare every model
67.2 / 100
0 same as group to 100 completely different
monthly 64.0 3 same-round comparisons
weekly 70.3 3 same-round comparisons
Recent-winner tilt · Combined

Does this model follow recent winners?

Leans toward recent laggards. Combined gives monthly and weekly behavior equal weight. The score uses only prices available before each portfolio was frozen.

22.0 / 100
-6.4 points vs peers
monthly 16.1 0.00% in the top 20%
weekly 28.0 11.7% in the top 20%
Overall risk appetite

Aggressive

Frequently leans into high-beta or narrow thematic exposure.

4.27 / 5 allocation-weighted score
Gemini 4 Argon4.27
83.3% high-risk exposure 55.0% technology exposure 5.8% defensive holdings
Most frequently held assets
Taiwan Equities (EWT)Country Equity 50.0% held 16.7% avg
Semiconductors (SMH)AI and Technology 50.0% held 15.8% avg
Cybersecurity (CIBR)AI and Technology 33.3% held 11.7% avg
Technology Sector (XLK)US Sector 33.3% held 11.7% avg
Broad AI Technology (AIQ)AI and Technology 33.3% held 10.8% avg
Consumer Discretionary Sector (XLY)US Sector 16.7% held 5.8% avg
Consumer Staples Sector (XLP)US Sector 16.7% held 5.8% avg
Average allocation by category
AI and Technology38.3%
US Sector29.2%
Country Equity16.7%
US Style Factor10.0%
Currencies5.8%
Current portfolios

What Is This Model Holding Now?

4 open portfolios across weekly and monthly tests. Completed rounds are excluded.

Weekly1 open portfolio
3 assets
Completed rounds are excluded from this live view.Next scoring target: 2026-11-04
Still in progress

How Are Its Open Portfolios Doing?

Latest available close for live rounds only. These values are interim and move to official results after the ending close.

Completed results

How Has This Model Performed?

Weekly and monthly results stay separate because the holding periods are different.

Weekly record

1 wins / 2 completed

Avg return +1.13%
S&P 500 -0.35%
Avg Portfolio Minus S&P 500 +1.48 pp
Hit rate 100.0%
Avg rank 3.5
Best round CB-2026-10-19-1W
Monthly record

No completed rounds

Avg return n/a
S&P 500 n/a
Avg Portfolio Minus S&P 500 n/a
Hit rate n/a
Avg rank n/a
Best round n/a
Round by round

When Did It Beat The S&P 500?

Bars to the right beat the S&P 500. Bars to the left trailed it.

Ranking context

Where Does It Rank Against Comparable Models?

Each group uses only rounds completed by every included model.

See every comparison group 2
Weekly · Forming

Oct 19, 2026 roster

Weekly comparison set automatically opened when the Oct 19 official roster first required a new equal-run benchmark group across 6 models.

Open full set
#2 Rank in set 17.6 CapitalBench Score 2.3% Total return 2 Shared rounds

Weekly Benchmark Forming

CapitalBench Score

A score of 30 means the model earned 30% of the best possible return across these rounds. Calculation

GPT-6 Astra
Gemini 4 Argon This model
Claude Opus 5 5
Claude Fable 5.1
Grok 4.5
Grok 4.6
S&P 500
Max possible What is this? Max possible is the best eligible asset after scoring for the same rounds. It is a hindsight ceiling, not a model portfolio. hindsight best asset

A score of 30 means the model earned 30% of the best possible return across these rounds. Calculation

GPT-6 Astra OpenAI · 2/2 scored rounds
18.2
Gemini 4 Argon Google · 2/2 scored rounds
17.6
Claude Opus 5 5 Anthropic · 2/2 scored rounds
15.1
Claude Fable 5.1 Anthropic · 2/2 scored rounds
14.6
Grok 4.5 xAI · 2/2 scored rounds
14.6
Grok 4.6 xAI · 2/2 scored rounds
14.6
S&P 500 S&P 500 · 2/2 scored rounds
-5.5
Max possible Hindsight ceiling, not a model portfolio
What is this? Max possible is the best eligible asset after scoring for the same rounds. It is a hindsight ceiling, not a model portfolio. 100.0
2 shared resolved rounds6 equal-run models ranked4 more shared rounds to qualifyNewest included round: CB-2026-10-22-1W
Return context

Average Return Details

Average portfolio return across the same finished rounds.

OpenAI GPT-6 Astra
1.16%
Google Gemini 4 Argon
1.13%
Anthropic Claude Opus 5 5
0.97%
Anthropic Claude Fable 5.1
0.93%
xAI Grok 4.5
0.93%
xAI Grok 4.6
0.93%
S&P S&P 500
-0.35%
MAX Max possible What is this? Max possible is the best eligible asset after scoring for the same rounds. It is a hindsight ceiling, not a model portfolio.
6.41%
Fairness rule: every ranked model completed every included round. A missed round is excluded from this set for everyone. Forming: this set becomes the Current Weekly Benchmark at 6 shared resolved rounds.
Model-specific findings

What Has CapitalBench Learned About Gemini 4 Argon?

Findings tied directly to this model's decisions or completed results.

Model BehaviorAs of Nov 3
Model behavior profiles14 models

Model allocation styles are separating into clear behavior profiles

google-gemini-4-argon has the highest average risk-taking score at 82.0/100. anthropic-claude-opus-5-5 has the largest average top holding at +75.28%. anthropic-claude-opus-5-5 has the lowest measured turnover at +28.44%.

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

High confidenceMath: deterministicData through Nov 3, 2026
Highest Average Risk Taking Score
82.0/100
Largest Average Top Holding
+75.3%
Lowest Average Turnover
+28.4%
Performance AttributionOct 23-Oct 30
Weekly resultCB-2026-10-22-1W6 models

google-gemini-4-argon's result was driven by Energy Sector

In the latest weekly result, Energy Sector contributed +0.35% to google-gemini-4-argon's portfolio. The largest drag came from Semiconductors at -0.27%.

Attribution multiplies each frozen holding's weight by its asset return to show what helped or hurt the model portfolio.

High confidenceMath: deterministicData through Oct 30, 2026
Largest Positive Contribution
+0.35%
Largest Negative Contribution
-0.27%
Why it matters

Attribution turns a model score into an explanation of which holdings actually helped or hurt the frozen portfolio.

Portfolio DifferenceAs of Oct 28
50% monthly / 50% weekly6 models

Gemini 4 Argon invests most differently from the group

Claude Fable 5.1 is most like the group at 44.8/100. Monthly and weekly behavior receive equal weight.

Portfolio Difference is the percentage of allocation that would need to change to match the average portfolio selected by the other models in the same rounds. Different does not mean better.

Medium confidenceMath: deterministicData through Oct 28, 2026
Highest Portfolio Difference
67.2/100
Lowest Portfolio Difference
44.8/100
Decision history

What Did It Choose In Each Round?

Open a row to see the full portfolio, rationale, and audit files.

Round Track Window Portfolio Result
CB-2026-10-27-1W official-20261027-1W weekly 2026-10-28 to 2026-11-04 CONSUMER_DISCRETIONARY 35.0%CONSUMER_STAPLES 35.0%LARGE_VALUE 30.0% Pending
Full portfolio
Consumer Discretionary Sector (XLY) 35.0% Consumer Staples Sector (XLP) 35.0% US Large-Cap Value (IWD) 30.0%
Rationale

Cross-sectional dispersion is moderate (5-session active dispersion at 3.22%) with broad breadth outperforming cap-weighted benchmarks (RSP beating SPY by 3.18% over 21 sessions). Macro data shows sticky inflation alongside rebounding consumer confidence (91.7) and retail sales (+0.8% monthly). With the October FOMC conclusion at entry and Q3 GDP, PCE, ECI, and the US general election inside the scoring window, high-quality value and consumer pullbacks with strong prior relative trends offer superior risk-adjusted setups over volatile idiosyncratic shocks.

CB-2026-10-27-1M official-20261027-1M monthly 2026-10-28 to 2026-11-30 TAIWAN 35.0%TECHNOLOGY 35.0%SEMICONDUCTORS 30.0% Pending
Full portfolio
Taiwan Equities (EWT) 35.0% Technology Sector (XLK) 35.0% Semiconductors (SMH) 30.0%
Rationale

Market breadth has improved over the 21-session window (RSP outperforming SPY by 3.18%), while high-quality technology and semiconductor leaders have experienced sharp short-term active pullbacks (-3.12% to -7.53%) despite strong prior medium-term trends (+14% to +23%). Meanwhile, September CPI (+0.6% m/m, energy +5.2%) and PPI (+1.3% m/m) combined with high refinery utilization (93.4%) support energy prices, though quality pullbacks in secular tech leaders offer the highest probability of 1-month mean reversion.

CB-2026-10-22-1W official-20261022-1W-clean weekly 2026-10-23 to 2026-10-30 ENERGY 35.0%US_DOLLAR 35.0%SEMICONDUCTORS 30.0% +0.69 pp
Full portfolio
Energy Sector (XLE) 35.0% US Dollar (UUP) 35.0% Semiconductors (SMH) 30.0%
Rationale

Market breadth diverges sharply from cap-weighted indices as RSP outperformed SPY by 2.51% over 5 sessions and two-thirds of S&P 500 constituents rose on October 22 despite the index decline. Elevated energy prices (Brent at $113.17, September energy CPI +5.2%) and hot producer prices (PPI +1.3% monthly) contrast with an easing 10-year Treasury yield (down to 4.97% from 5.13%) ahead of the October 27-28 FOMC meeting and Q3 GDP release.

CB-2026-10-22-1M official-20261022-1M monthly 2026-10-23 to 2026-11-23 TECHNOLOGY 35.0%BROAD_AI_TECH 35.0%TAIWAN 30.0% Pending
Full portfolio
Technology Sector (XLK) 35.0% Broad AI Technology (AIQ) 35.0% Taiwan Equities (EWT) 30.0%
Rationale

Cross-sectional dispersion is high, characterized by a sharp short-term rotation out of mega-cap technology and growth (QQQ -4.46% active 21d, Nasdaq -2.6% on Oct 22) into defensive, value, and energy segments (RSP +3.77% active 21d, two-thirds of S&P 500 rising on Oct 22). However, top-tier technology and AI leaders (AIQ, XLK, EWT) possess the strongest medium-term relative strength in the universe (quality scores 0.749-0.754) and pulled back on low volume (-0.35 to -0.53 z-scores) as the 10-year Treasury yield eased from 5.13% to 4.97%, setting up a high-probability quality reversal over the coming month.

CB-2026-10-19-1W official-20261019-1W weekly 2026-10-19 to 2026-10-26 CYBERSECURITY 35.0%SEMICONDUCTORS 35.0%LARGE_GROWTH 30.0% +2.27 pp
Full portfolio
Cybersecurity (CIBR) 35.0% Semiconductors (SMH) 35.0% US Large-Cap Growth (IWF) 30.0%
Rationale

Cross-sectional active return dispersion is high at 4.27% following a sharp rotation out of technology and growth equities (68 of 75 S&P 500 tech constituents fell on Oct 16) triggered by hot September CPI (+0.6% MoM) and PPI (+1.3% MoM) prints and a 10-year Treasury yield near 5.09%. With major macro catalysts (FOMC, Q3 GDP, PCE) falling after the October 26 weekly exit and Treasury yields stabilizing on Friday, high-quality secular leaders experiencing volume-dislocated pullbacks are positioned for short-term mean reversion.

CB-2026-10-19-1M official-20261019-1M monthly 2026-10-19 to 2026-11-19 TAIWAN 35.0%CYBERSECURITY 35.0%BROAD_AI_TECH 30.0% Pending
Full portfolio
Taiwan Equities (EWT) 35.0% Cybersecurity (CIBR) 35.0% Broad AI Technology (AIQ) 30.0%
Rationale

Recent data shows firm inflation (September CPI +0.6% m/m, PPI +1.3% m/m) driven heavily by a 5.2% monthly surge in energy prices, alongside a 10-year Treasury yield around 5.09% and a recent Fed rate hike to 3.75%-4.00%. This rate pressure triggered a sharp factor rotation out of technology and growth (68 of 75 S&P tech constituents fell on Oct 16; RSP beat SPY by 2.46% over 5 days) into energy and defensive value. However, secular leaders with dominant medium-term relative strength (Taiwan, Cybersecurity, Broad AI Tech) have suffered acute short-term pullbacks without company-specific fundamental deterioration, creating high-quality reversal setups ahead of key macro releases.

Audit and data Public Audit Packets For This Model