Best AI for Trading and portfolios (November 2026)
Data refreshed 1 Nov 2026
Qwen3-235B-Think leads StockBench with 2.5 (final return %). InvestorAgent / GPT-4.1 leads Agent Market Arena (AMA) with 40.8 (cumulative return % (TSLA)). Qwen2.5-72B-Instruct leads InvestorBench with 46.2 (cumulative return %). Qwen3.6-Plus leads KTD-Fin with 85.3 (total return %). GPT-4.1 leads LiveTradeBench with 6.3 (cumulative return %). GLM-5.1 leads PortBench with 0.384 (CEPS (0-1)). MiMo-V2-Flash leads PolyBench with 17.6 (Confidence-Weighted Return (CWR) %). MiniMax-M2 leads AI-Trader with 9.6 (cumulative return %).
- Benchmarks in this use case
- 11
- With dated scores
- 8
- Models with scores
- 67
- Latest source date
- 9 Oct 2026
Trading and portfolios picks
The leader on each benchmark, never combinedBest on StockBench
Qwen3-235B-ThinkQwen
2.5 final return %
Reported by the authors, 2 Mar 2026
Best on Agent Market Arena (AMA)
InvestorAgent / GPT-4.1Maker not stated
40.8 cumulative return % (TSLA)
Reported by the authors, 30 Oct 2025
Best on InvestorBench
Qwen2.5-72B-InstructQwen
46.2 cumulative return %
Reported by the authors, 24 Dec 2024
Best on KTD-Fin
Qwen3.6-PlusQwen
85.3 total return %
Reported by the authors, 27 May 2026
Best on LiveTradeBench
GPT-4.1OpenAI
6.3 cumulative return %
Reported by the authors, 5 Nov 2025
Best on PortBench
GLM-5.1Zhipu AI
0.384 CEPS (0-1)
Reported by the authors, 9 Oct 2026
Best on PolyBench
MiMo-V2-FlashXiaomi
17.6 Confidence-Weighted Return (CWR) %
Reported by the authors, 3 Apr 2026
Best on AI-Trader
MiniMax-M2MiniMax
9.6 cumulative return %
Reported by the authors, 1 Dec 2025
Trading and portfolios leaderboard
StockBench arXiv v2 (2026-03-02)
final return %, higher is better. Top 5 of 11 models.
Updated 2 Mar 2026
- 1Qwen3-235B-Think2.5
- 2Qwen3-235B-Ins2.4
- 3GLM-4.52.3
- 4Claude-4-Sonnet2.2
- 5Qwen3-30B-Think2.1
| 1 | Qwen3-235B-Think | Qwen | 2.5 | composite rank 4 | Paper Table 2 Reported by the authors, 2 Mar 2026 |
|---|---|---|---|---|---|
| 2 | Qwen3-235B-Ins | Qwen | 2.4 | composite rank 2 | Paper Table 2 Reported by the authors, 2 Mar 2026 |
| 3 | GLM-4.5 | Zhipu AI | 2.3 | composite rank 3 | Paper Table 2 Reported by the authors, 2 Mar 2026 |
| 4 | Claude-4-Sonnet | Anthropic | 2.2 | composite rank 7 | Paper Table 2 Reported by the authors, 2 Mar 2026 |
| 5 | Qwen3-30B-Think | Qwen | 2.1 | composite rank 6 | Paper Table 2 Reported by the authors, 2 Mar 2026 |
| 6 | Kimi k2 | Moonshot AI | 1.9 | composite rank 1 (z-score of return, drawdown, Sortino); avg of 3 runs | Paper Table 2 (same as project leaderboard) Reported by the authors, 2 Mar 2026 |
| 6 | OpenAI-O3 | OpenAI | 1.9 | composite rank 5 | Paper Table 2 Reported by the authors, 2 Mar 2026 |
| 8 | DeepSeek V3.1 | DeepSeek | 1.1 | composite rank 8 | Paper Table 2 Reported by the authors, 2 Mar 2026 |
| 9 | gpt-5 | OpenAI | 0.300 | composite rank 9 | Paper Table 2 Reported by the authors, 2 Mar 2026 |
| 10 | DeepSeek-V3 | DeepSeek | 0.200 | composite rank 11 (passive baseline is rank 12 at +0.4%) | Paper Table 2 Reported by the authors, 2 Mar 2026 |
| 10 | Qwen3-Coder | Qwen | 0.200 | composite rank 10 | Paper Table 2 Reported by the authors, 2 Mar 2026 |
Agent Market Arena (AMA) arXiv v2 (2025-10-30); live board ongoing
cumulative return % (TSLA), higher is better. Top 5 of 10 models.
Updated 30 Oct 2025
- 1InvestorAgent / GPT-4.140.8
- 2InvestorAgent / GPT-4o33.0
- 3InvestorAgent / Vote29.1
- 4InvestorAgent / Claude-sonnet-428.9
- 5TradeAgent / Gemini-2.0-flash21.9
| 1 | InvestorAgent / GPT-4.1 | 40.8 | live 2025-08-01 to 2025-09-30, TSLA; buy-and-hold 46.88 | Paper Table 1 Reported by the authors, 30 Oct 2025 |
|---|---|---|---|---|
| 2 | InvestorAgent / GPT-4o | 33.0 | live, TSLA | Paper Table 1 Reported by the authors, 30 Oct 2025 |
| 3 | InvestorAgent / Vote | 29.1 | live, TSLA | Paper Table 1 Reported by the authors, 30 Oct 2025 |
| 4 | InvestorAgent / Claude-sonnet-4 | 28.9 | live, TSLA | Paper Table 1 Reported by the authors, 30 Oct 2025 |
| 5 | TradeAgent / Gemini-2.0-flash | 21.9 | live, TSLA | Paper Table 1 Reported by the authors, 30 Oct 2025 |
| 6 | DeepFundAgent / GPT-4o | 13.9 | live, TSLA | Paper Table 1 Reported by the authors, 30 Oct 2025 |
| 7 | InvestorAgent / Claude-3.5-haiku | 11.6 | live, TSLA | Paper Table 1 Reported by the authors, 30 Oct 2025 |
| 8 | InvestorAgent / Gemini-2.0-flash | 10.6 | live, TSLA | Paper Table 1 Reported by the authors, 30 Oct 2025 |
| 9 | DeepFundAgent / Vote | 8.6 | live, TSLA | Paper Table 1 Reported by the authors, 30 Oct 2025 |
| 10 | TradeAgent / Vote | -0.360 | live, TSLA | Paper Table 1 Reported by the authors, 30 Oct 2025 |
InvestorBench ACL 2025 Long Papers (July 2025); arXiv v1 (2024-12-24)
cumulative return %, higher is better. Top 5 of 10 models.
Updated 24 Dec 2024
- 1Qwen2.5-72B-Instruct46.2
- 2GPT-443.7
- 3GPT-4o39.0
- 4Llama-3.1-70B-Instruct38.9
- 5Yi-1.5-34B-Chat38.0
| 1 | Qwen2.5-72B-Instruct | Qwen | 46.2 | stock task, average over 7 stocks, 2020-10-01 to 2021-05-06; buy-and-hold 34.099 | Paper Table 2 Reported by the authors, 24 Dec 2024 |
|---|---|---|---|---|---|
| 2 | GPT-4 | OpenAI | 43.7 | stock task, 7-stock average | Paper Table 2 Reported by the authors, 24 Dec 2024 |
| 3 | GPT-4o | OpenAI | 39.0 | stock task, 7-stock average | Paper Table 2 Reported by the authors, 24 Dec 2024 |
| 4 | Llama-3.1-70B-Instruct | Meta | 38.9 | stock task, 7-stock average | Paper Table 2 Reported by the authors, 24 Dec 2024 |
| 5 | Yi-1.5-34B-Chat | Not stated | 38.0 | stock task, 7-stock average | Paper Table 2 Reported by the authors, 24 Dec 2024 |
| 6 | Qwen-2.5-Instruct-7B | Qwen | 29.5 | stock task, 7-stock average | Paper Table 2 Reported by the authors, 24 Dec 2024 |
| 7 | DeepSeek-V2-Lite (15.7B) | DeepSeek | 28.7 | stock task, 7-stock average | Paper Table 2 Reported by the authors, 24 Dec 2024 |
| 8 | DeepSeek-67B-Chat | DeepSeek | 26.9 | stock task, 7-stock average | Paper Table 2 Reported by the authors, 24 Dec 2024 |
| 9 | Llama-3.1-8B-Instruct | Meta | 25.5 | stock task, 7-stock average | Paper Table 2 Reported by the authors, 24 Dec 2024 |
| 10 | GPT-o1-preview | OpenAI | 25.1 | stock task, 7-stock average | Paper Table 2 Reported by the authors, 24 Dec 2024 |
KTD-Fin arXiv v1 (2026-05-27)
total return %, higher is better. Top 5 of 10 models.
Updated 27 May 2026
- 1Qwen3.6-Plus85.3
- 2GPT 5.561.3
- 3doubao-seed-2.061.0
- 4claude-opus-4-758.8
- 5minimax-m2.756.3
| 1 | Qwen3.6-Plus | Qwen | 85.3 | blinded x open-research, 2024-01-01 to 2026-04-10; alpha rank 2; CSI300 buy-and-hold +36.92 | Paper Table 4 Reported by the authors, 27 May 2026 |
|---|---|---|---|---|---|
| 2 | GPT 5.5 | OpenAI | 61.3 | blinded x open-research; alpha rank 6 | Paper Table 4 Reported by the authors, 27 May 2026 |
| 3 | doubao-seed-2.0 | ByteDance | 61.0 | blinded x open-research; alpha rank 3 | Paper Table 4 Reported by the authors, 27 May 2026 |
| 4 | claude-opus-4-7 | Anthropic | 58.8 | blinded x open-research; alpha rank 1 | Paper Table 4 Reported by the authors, 27 May 2026 |
| 5 | minimax-m2.7 | MiniMax | 56.3 | blinded x open-research; alpha rank 4 | Paper Table 4 Reported by the authors, 27 May 2026 |
| 6 | step-3.5-flash | StepFun | 21.9 | blinded x open-research; alpha rank 5 | Paper Table 4 Reported by the authors, 27 May 2026 |
| 7 | gemini-3.1-pro | 8.3 | blinded x open-research; alpha rank 7 | Paper Table 4 Reported by the authors, 27 May 2026 | |
| 8 | deepseek-v4-pro | DeepSeek | 1.4 | blinded x open-research; alpha rank 8 | Paper Table 4 Reported by the authors, 27 May 2026 |
| 9 | GLM-5.1 | Zhipu AI | -3.5 | blinded x open-research; alpha rank 9 | Paper Table 4 Reported by the authors, 27 May 2026 |
| 10 | Kimi K2.6 | Moonshot AI | -24.2 | blinded x open-research; alpha rank 10 | Paper Table 4 Reported by the authors, 27 May 2026 |
LiveTradeBench arXiv v1 (2025-11-05)
cumulative return %, higher is better. Top 5 of 10 models.
Updated 5 Nov 2025
- 1GPT-4.16.3
- 2GPT-o36.0
- 3gpt-55.3
- 4Qwen2.5-72B-Instruct5.2
- 5Llama4-Scout4.7
| 1 | GPT-4.1 | OpenAI | 6.3 | US stock market, live 2025-08-18 to 2025-10-24 (50 trading days) | Paper Table 2 Reported by the authors, 5 Nov 2025 |
|---|---|---|---|---|---|
| 2 | GPT-o3 | OpenAI | 6.0 | US stock market, live | Paper Table 2 Reported by the authors, 5 Nov 2025 |
| 3 | gpt-5 | OpenAI | 5.3 | US stock market, live | Paper Table 2 Reported by the authors, 5 Nov 2025 |
| 4 | Qwen2.5-72B-Instruct | Qwen | 5.2 | US stock market, live | Paper Table 2 Reported by the authors, 5 Nov 2025 |
| 5 | Llama4-Scout | Meta | 4.7 | US stock market, live | Paper Table 2 Reported by the authors, 5 Nov 2025 |
| 6 | Llama4-Maverick | Meta | 4.5 | US stock market, live | Paper Table 2 Reported by the authors, 5 Nov 2025 |
| 7 | grok-4 | xAI | 4.3 | US stock market, live | Paper Table 2 Reported by the authors, 5 Nov 2025 |
| 8 | Claude Opus 4 | Anthropic | 3.9 | US stock market, live | Paper Table 2 Reported by the authors, 5 Nov 2025 |
| 9 | Claude Opus 4.1 | Anthropic | 3.7 | US stock market, live | Paper Table 2 Reported by the authors, 5 Nov 2025 |
| 10 | Claude-Sonnet-3.7 | Anthropic | 3.6 | US stock market, live | Paper Table 2 Reported by the authors, 5 Nov 2025 |
PortBench arXiv v6 (2026-10-09)
CEPS (0-1), higher is better. Top 5 of 10 models.
Updated 9 Oct 2026
- 1GLM-5.10.384
- 2Qwen3.6-Plus0.300
- 3Qwen3.7-Max0.292
- 4Kimi K2.60.274
- 5Qwen3.6-35B-A3B0.272
| 1 | GLM-5.1 | Zhipu AI | 0.384 | pipeline, balanced risk profile | Paper Table 2 Reported by the authors, 9 Oct 2026 |
|---|---|---|---|---|---|
| 2 | Qwen3.6-Plus | Qwen | 0.300 | pipeline, balanced risk profile | Paper Table 2 Reported by the authors, 9 Oct 2026 |
| 3 | Qwen3.7-Max | Qwen | 0.292 | pipeline, balanced risk profile | Paper Table 2 Reported by the authors, 9 Oct 2026 |
| 4 | Kimi K2.6 | Moonshot AI | 0.274 | pipeline, balanced risk profile | Paper Table 2 Reported by the authors, 9 Oct 2026 |
| 5 | Qwen3.6-35B-A3B | Qwen | 0.272 | pipeline, balanced risk profile | Paper Table 2 Reported by the authors, 9 Oct 2026 |
| 6 | DS-V4-Pro | DeepSeek | 0.266 | pipeline, balanced risk profile | Paper Table 2 Reported by the authors, 9 Oct 2026 |
| 7 | DB-2.0-Pro | Not stated | 0.263 | pipeline, balanced risk profile | Paper Table 2 Reported by the authors, 9 Oct 2026 |
| 8 | HY3-Preview | Tencent | 0.258 | pipeline, balanced risk profile | Paper Table 2 Reported by the authors, 9 Oct 2026 |
| 9 | DB-2.0-Lite | Not stated | 0.244 | pipeline, balanced risk profile | Paper Table 2 Reported by the authors, 9 Oct 2026 |
| 10 | DS-V4-Flash | DeepSeek | 0.226 | pipeline, balanced risk profile | Paper Table 2 Reported by the authors, 9 Oct 2026 |
PolyBench arXiv v1 (2026-04-03)
Confidence-Weighted Return (CWR) %, higher is better. Top 5 of 7 models.
Updated 3 Apr 2026
- 1MiMo-V2-Flash17.6
- 2Gemini-3-Flash6.2
- 3Trinity-Large-9.2
- 4deepseek-v3.2-11.4
- 5Grok-4.1-Fast-12.1
| 1 | MiMo-V2-Flash | Xiaomi | 17.6 | base lot $10, 2026-02-06 to 2026-02-12 | Paper Table 5 Reported by the authors, 3 Apr 2026 |
|---|---|---|---|---|---|
| 2 | Gemini-3-Flash | 6.2 | base lot $10 | Paper Table 5 Reported by the authors, 3 Apr 2026 | |
| 3 | Trinity-Large | Not stated | -9.2 | base lot $10 | Paper Table 5 Reported by the authors, 3 Apr 2026 |
| 4 | deepseek-v3.2 | DeepSeek | -11.4 | base lot $10 | Paper Table 5 Reported by the authors, 3 Apr 2026 |
| 5 | Grok-4.1-Fast | xAI | -12.1 | base lot $10 | Paper Table 5 Reported by the authors, 3 Apr 2026 |
| 6 | GPT-OSS 120B | OpenAI | -17.8 | base lot $10 | Paper Table 5 Reported by the authors, 3 Apr 2026 |
| 7 | MiniMax-M2.5 | MiniMax | -25.2 | base lot $10 | Paper Table 5 Reported by the authors, 3 Apr 2026 |
AI-Trader arXiv v1 (2025-12-01); repo updated 2026-06-11
cumulative return %, higher is better. Top 5 of 6 models.
Updated 1 Dec 2025
- 1MiniMax-M29.6
- 2DeepSeek V3.18.4
- 3Claude-3.7-Sonnet3.1
- 4gpt-51.6
- 5Qwen3-Max0.390
| 1 | MiniMax-M2 | MiniMax | 9.6 | US market (Nasdaq-100, hourly), 2025-10-01 to 2025-11-07; QQQ baseline 1.87 | Paper Table 1 Reported by the authors, 1 Dec 2025 |
|---|---|---|---|---|---|
| 2 | DeepSeek V3.1 | DeepSeek | 8.4 | US market, hourly | Paper Table 1 Reported by the authors, 1 Dec 2025 |
| 3 | Claude-3.7-Sonnet | Anthropic | 3.1 | US market, hourly | Paper Table 1 Reported by the authors, 1 Dec 2025 |
| 4 | gpt-5 | OpenAI | 1.6 | US market, hourly | Paper Table 1 Reported by the authors, 1 Dec 2025 |
| 5 | Qwen3-Max | Qwen | 0.390 | US market, hourly | Paper Table 1 Reported by the authors, 1 Dec 2025 |
| 6 | Gemini 2.5 Flash | -0.060 | US market, hourly | Paper Table 1 Reported by the authors, 1 Dec 2025 |
