ShiJianBench - Investor Outcome: leaderboard

Metric: Investment score (0-100): 0.6 x return-uplift + 0.4 x drawdown-reduction scores of the advised investors against the matched no-advisor rollout, full horizon, over five matched runs of 27 simulated investors (risk profile x financial literacy x asset tier, weighted by 7,199 real users) in an LLM investor simulator replaying Chinese public-fund market traces, with GPT-4o judging advisor messages. Source: arxiv.org. Saturation forecast: Around December 2026. 5 models tracked.

Top models

#ModelScore
1GPT-564.1
2DeepSeek V4 Flash64.09
3Claude Sonnet 4.664.08

Interactive version: theaggregate.ai/benchmark?slug=shijianbench-investor-outcome · How It Works · Data refreshed daily, snapshot 2026-09-29.