Live portfolios 2 2 open rounds
Completed rounds 0 scored rounds
Beat S&P 500 n/a all completed tracks
Portfolio Minus S&P 500 n/a 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 2
Average holdings 2.5
Average largest position 50.0%
Most common top holding S&P 500 (SPY)
Typical approach Emerging allocation profile

Emerging pattern across 2 official portfolios. Portfolios averaged 2.5 holdings, a 50.0% largest position, and n/a turnover.

Provisional · based on 2 saved portfolios.
Pattern still forming2.5 holdings · 50% topTurnover buildingNow: SPY 48%
Risk taking 70.1 / 100 0 defensive to 100 aggressive
Typical largest position 50.0% average top holding
Typical holdings 2.5 average non-zero positions
Portfolio turnover n/a average change between rounds
Portfolio Difference / Combined

How different is this portfolio from the group?

A score of 64.6 means about 64.6% of allocation would need to change to match the average portfolio selected by the other models.

Compare every model
64.6 / 100
0 same as group to 100 completely different
monthly 60.8 1 same-round comparisons
weekly 68.3 1 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.

28.2 / 100
+17.6 points vs peers
monthly 20.2 0.00% in the top 20%
weekly 36.2 0.00% in the top 20%
Overall risk appetite

Growth

Usually favors equities, sectors, or thematic growth exposure.

3.52 / 5 allocation-weighted score
GPT-6 Astra3.52
52.5% high-risk exposure 17.5% technology exposure 0.00% defensive holdings
Most frequently held assets
S&P 500 (SPY)US Broad Market 100.0% held 47.5% avg
Agriculture Commodities (DBA)Commodities 50.0% held 17.5% avg
Copper (CPER)Commodities 50.0% held 17.5% avg
Cybersecurity (CIBR)AI and Technology 50.0% held 17.5% avg
Average allocation by category
US Broad Market47.5%
Commodities35.0%
AI and Technology17.5%
Current portfolios

What Is This Model Holding Now?

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

Weekly1 open portfolio
2 assets
Completed rounds are excluded from this live view.Next scoring target: 2026-09-15
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.

No live price snapshot yet. Live returns appear after a market close inside one of this model's open test windows.
Completed results

How Has This Model Performed?

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

Weekly 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
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.

No completed score yet.This chart appears after at least one test has ending prices.
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 · Waiting

Sep 4, 2026 roster

Weekly comparison set automatically opened when the Sep 4 official roster first required a new equal-run benchmark group across 7 models.

Open full set
n/a Rank in set n/a CapitalBench Score n/a Total return 0 Shared rounds
This set is waiting for its first shared resolved round. The chart appears after every model in the 7-model roster has an official result in the same weekly round.
Model-specific findings

What Has CapitalBench Learned About GPT-6 Astra?

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

Portfolio DifferenceAs of Sep 8
50% monthly / 50% weekly

Grok 4.3 invests most differently from the group

Claude Opus 5 is most like the group at 45.5/100. 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 Sep 8, 2026
Highest Portfolio Difference
65.9/100
Lowest Portfolio Difference
45.5/100
Model BehaviorSep 4-Sep 15
Weekly live roundCB-2026-09-04-1WLive portfolios

GPT-6 Astra has the strongest current weekly recent-winner tilt

Its score is 36.2 out of 100, with 0.0% in the top recent-return quintile. Grok 4.5 is lowest at 3.7.

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 Sep 4, 2026
Leader Recent Winner Tilt Score
36.2/100
Leader Top Recent Winner Quintile Allocation
0.00%
Leader Peer Delta
21.9
Why it matters

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

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-2026-09-04-1W official-v3-20260904-weekly-clean weekly 2026-09-08 to 2026-09-15 SP500 65.0%AGRICULTURE 35.0% Pending
Full portfolio
S&P 500 (SPY) 65.0% Agriculture Commodities (DBA) 35.0%
Rationale

Five-session active dispersion of 2.03% and oil's sharp divergence from equities indicate substantial cross-sectional risk. Energy disruptions support oil independently of momentum, while elevated inflation and hike expectations limit confidence in growth-stock reversals. Producer and consumer prices fall inside the scoring window; the Fed decision does not. Reversal evidence is strongest where prior relative strength survives a shallow pullback, but the supplied quality scores are technical composites, not evidence of business fundamentals.

CB-2026-09-04-1M official-v3-20260904-monthly-clean monthly 2026-09-08 to 2026-10-08 COPPER 35.0%CYBERSECURITY 35.0%SP500 30.0% Pending
Full portfolio
Copper (CPER) 35.0% Cybersecurity (CIBR) 35.0% S&P 500 (SPY) 30.0%
Rationale

Cross-sectional return spreads are wide despite nearly flat SPY and equal-weight monthly returns; the aggregate dispersion statistic is missing. Energy disruptions provide independent support for selected commodity-linked strength, while elevated inflation and September hike risk challenge financing-sensitive equities. Reversal opportunities are selective rather than a blanket bet on recent losers. Quality scores are price-derived evidence, not evidence of corporate profitability or valuation.

Audit and data Public Audit Packets For This Model