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.Gemini 4 Argon
google-gemini-4-argon
Portfolio pattern Emerging allocation profile Emerging pattern across 6 official portfolios. Portfolios averaged 3.0 holdings, a 35.0% largest position, and 61.3% turnover.How Does This Model Tend To Invest?
Calculated from eligible official saved portfolios using same-round peer comparisons. How labels and pills are determined
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 modelDoes 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.
Aggressive
Frequently leans into high-beta or narrow thematic exposure.
What Is This Model Holding Now?
4 open portfolios across weekly and monthly tests. Completed rounds are excluded.
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.
- Portfolio
- +1.44%
- S&P 500
- -2.33%
- Portfolio Minus S&P 500
- +3.77 pp
- Portfolio
- -6.30%
- S&P 500
- -1.55%
- Portfolio Minus S&P 500
- -4.76 pp
See all 4 open round returns
How Has This Model Performed?
Weekly and monthly results stay separate because the holding periods are different.
1 wins / 2 completed
No completed rounds
When Did It Beat The S&P 500?
Bars to the right beat the S&P 500. Bars to the left trailed it.
Where Does It Rank Against Comparable Models?
Each group uses only rounds completed by every included model.
See every comparison group 2
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.
Weekly Benchmark Forming
CapitalBench Score
A score of 30 means the model earned 30% of the best possible return across these rounds. Calculation
A score of 30 means the model earned 30% of the best possible return across these rounds. Calculation
Average Return Details
Average portfolio return across the same finished rounds.
Oct 19, 2026 roster
Monthly comparison set automatically opened when the Oct 19 official roster first required a new equal-run benchmark group across 6 models.
What Has CapitalBench Learned About Gemini 4 Argon?
Findings tied directly to this model's decisions or completed results.
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.
- Highest Average Risk Taking Score
- 82.0/100
- Largest Average Top Holding
- +75.3%
- Lowest Average Turnover
- +28.4%
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.
- Largest Positive Contribution
- +0.35%
- Largest Negative Contribution
- -0.27%
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.
- Highest Portfolio Difference
- 67.2/100
- Lowest Portfolio Difference
- 44.8/100
What Did It Choose In Each Round?
Open a row to see the full portfolio, rationale, and audit files.
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
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
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
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
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
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
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.