Stepfun; Tsinghua University (with FinStep, Shanghai Jiao Tong University, Adelaide University), 2026

KTD-Fin

End-to-end LLM trading on CSI300 A-shares, with tickers and dates masked so models cannot recall history. A Barra-style attribution splits returns into market, style and stock-selection alpha.

Best reported

85.3

Qwen3.6-PlusQwen

total return %

Reported by the authors, 27 May 2026

About this benchmark

Size
10 frontier LLM agents plus 18 Qlib factor baselines; 548-trading-day window (2024-01-01 to 2026-04-10) plus 10 regime windows; 4 masking levels x 3 decision modes
Public split
none found (paper says it is released as a template, but gives no URL)
Grading
Total return and Barra-attributed selection alpha (leaderboard ranks by alpha); reliability panel includes ECE; Brier score is recorded for diagnostics only
Licence
Not stated
Submission
none
Products allowed
Not stated
Latest version
arXiv v1 (2026-05-27)
What it does not cover
Markets outside Chinese A-shares, and inputs other than price data (observations are OHLCV only)

Results

10 models
Leaderboard

Each score shows who reported it: the benchmark's authors (quoted from their paper), the benchmark's official board, or Moneda (run with the benchmark's own grader and rules). We do not copy other aggregators.

KTD-Fin arXiv v1 (2026-05-27)

total return %, higher is better. 10 models.

Updated 27 May 2026

  1. Qwen3.6-Plus85.3
  2. GPT 5.561.3
  3. doubao-seed-2.061.0
  4. claude-opus-4-758.8
  5. minimax-m2.756.3
  6. step-3.5-flash21.9
  7. gemini-3.1-pro8.3
  8. deepseek-v4-pro1.4
  9. GLM-5.1-3.5
  10. Kimi K2.6-24.2

KTD-Fin arXiv v1 (2026-05-27)

total return %, higher is better. 10 models.

Updated 27 May 2026

  1. 1Qwen3.6-Plus85.3
  2. 2GPT 5.561.3
  3. 3doubao-seed-2.061.0
  4. 4claude-opus-4-758.8
  5. 5minimax-m2.756.3
  6. 6step-3.5-flash21.9
  7. 7gemini-3.1-pro8.3
  8. 8deepseek-v4-pro1.4
  9. 9GLM-5.1-3.5
  10. 10Kimi K2.6-24.2
KTD-Fin leaderboard (total return %, higher is better)
1Qwen3.6-PlusQwen85.3blinded x open-research, 2024-01-01 to 2026-04-10; alpha rank 2; CSI300 buy-and-hold +36.92Paper Table 4
Reported by the authors, 27 May 2026
2GPT 5.5OpenAI61.3blinded x open-research; alpha rank 6Paper Table 4
Reported by the authors, 27 May 2026
3doubao-seed-2.0ByteDance61.0blinded x open-research; alpha rank 3Paper Table 4
Reported by the authors, 27 May 2026
4claude-opus-4-7Anthropic58.8blinded x open-research; alpha rank 1Paper Table 4
Reported by the authors, 27 May 2026
5minimax-m2.7MiniMax56.3blinded x open-research; alpha rank 4Paper Table 4
Reported by the authors, 27 May 2026
6step-3.5-flashStepFun21.9blinded x open-research; alpha rank 5Paper Table 4
Reported by the authors, 27 May 2026
7gemini-3.1-proGoogle8.3blinded x open-research; alpha rank 7Paper Table 4
Reported by the authors, 27 May 2026
8deepseek-v4-proDeepSeek1.4blinded x open-research; alpha rank 8Paper Table 4
Reported by the authors, 27 May 2026
9GLM-5.1Zhipu AI-3.5blinded x open-research; alpha rank 9Paper Table 4
Reported by the authors, 27 May 2026
10Kimi K2.6Moonshot AI-24.2blinded x open-research; alpha rank 10Paper Table 4
Reported by the authors, 27 May 2026

Last checked 1 Nov 2026. Something out of date or wrong? Send a correction.