算法交易论文趋势 2023–2026
交易策略
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 32 篇被归入该主题的论文。
主要结论
- 算法交易论文从 2023 年的 5 篇增长到 2026 年的 16 篇，三年间扩大到约 3.2 倍。
- NeurIPS 是发算法交易论文最多的会议，2023–2026 年共 19 篇，占四个会议总量的 59%。
- 在「金融与经济」的 5 个主题里，它的 2026 年论文数排第 3；同组增长最快的宏观预测是 8.0 倍，算法交易是 3.2 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 1 | 2 | 2 | 0 | 5 |
| 2024 | 6 | 0 | 2 | 0 | 8 |
| 2025 | 1 | 2 | 0 | 0 | 3 |
| 2026 | 11 | 2 | 3 | 0 | 16 |
代表论文
按年份和会议均匀挑选，方便快速看到每一届的样貌
- NeurIPS 2026A Statistical Framework for Algorithmic Collective Action with Multiple Collectives
- ICML 2026Trading Complexity for Expressivity Through Structured Generalized Linear Token Mixing
- ICLR 2026Cultivating Pluralism In Algorithmic Monoculture: The Community Alignment Dataset
- NeurIPS 2025Robust Reinforcement Learning in Finance: Modeling Market Impact with Elliptic Uncertainty Sets
- ICLR 2025Leave-One-Out Stable Conformal Prediction
- NeurIPS 2024Algorithmic progress in language models
- ICML 2024Algorithmic Stability Unleashed: Generalization Bounds with Unbounded Losses
- NeurIPS 2023TradeMaster: A Holistic Quantitative Trading Platform Empowered by Reinforcement Learning
- ICML 2023Algorithmic Collective Action in Machine Learning
- ICLR 2023AANG : Automating Auxiliary Learning
- NeurIPS 2026On the Origin of Algorithmic Progress in AI: Evidence from Language Model Pre-Training
- ICML 2026Intrinsic Task Symmetry Drives Generalization in Algorithmic Tasks
- ICLR 2026Trade in Minutes! Rationality-Driven Agentic System for Quantitative Financial Trading
- ICLR 2025Decentralized Sporadic Federated Learning: A Unified Algorithmic Framework with Convergence Guarantees
- NeurIPS 2024Algorithmic Capabilities of Random Transformers
- ICML 2024Auctionformer: A Unified Deep Learning Algorithm for Solving Equilibrium Strategies in Auction Games
- ICML 2023Brainformers: Trading Simplicity for Efficiency
- ICLR 2023Omnigrok: Grokking Beyond Algorithmic Data
- NeurIPS 2026Refinement as a Service: Algorithmic Predictor Refinement
- ICML 2026Feature Bagging Provides Stability
全部算法交易论文
共 32 篇，第 1 / 1 页
- ICLR 2026Cultivating Pluralism In Algorithmic Monoculture: The Community Alignment Dataset
- ICLR 2026Trade in Minutes! Rationality-Driven Agentic System for Quantitative Financial Trading
- ICML 2026Feature Bagging Provides Stability
- ICML 2026Intrinsic Task Symmetry Drives Generalization in Algorithmic Tasks
- ICML 2026Trading Complexity for Expressivity Through Structured Generalized Linear Token Mixing
- NeurIPS 2026A Statistical Framework for Algorithmic Collective Action with Multiple Collectives
- NeurIPS 2026Algorithmic Impact Reveals the Hidden Structure of Alignment
- NeurIPS 2026Characterizing Learning in Deep Neural Networks using a Tractable Algorithmic Complexity Estimator
- NeurIPS 2026How New Strategies Emerge in RL Post-Training: A Controlled Study
- NeurIPS 2026LiveOption: Evaluating LLM Agents in Structured Option Trading with Nonlinear Payoffs
- NeurIPS 2026Mitigating Retaliatory Algorithmic Collusion in Repeated Games
- NeurIPS 2026On the Origin of Algorithmic Progress in AI: Evidence from Language Model Pre-Training
- NeurIPS 2026Optimal algorithmic complexity of inference in quantum kernel methods
- NeurIPS 2026Refinement as a Service: Algorithmic Predictor Refinement
- NeurIPS 2026Transformers Converge to Invariant Algorithmic Cores
- NeurIPS 2026Virtual Double Oracle: Faster Convergence by Leveraging Strategies That Were Watching All Along
- ICLR 2025Decentralized Sporadic Federated Learning: A Unified Algorithmic Framework with Convergence Guarantees
- ICLR 2025Leave-One-Out Stable Conformal Prediction
- NeurIPS 2025Robust Reinforcement Learning in Finance: Modeling Market Impact with Elliptic Uncertainty Sets
- ICML 2024Algorithmic Stability Unleashed: Generalization Bounds with Unbounded Losses
- ICML 2024Auctionformer: A Unified Deep Learning Algorithm for Solving Equilibrium Strategies in Auction Games
- NeurIPS 2024Algorithmic Capabilities of Random Transformers
- NeurIPS 2024Algorithmic progress in language models
- NeurIPS 2024Autobidder's Dilemma: Why More Sophisticated Autobidders Lead to Worse Auction Efficiency
- NeurIPS 2024Building a stable classifier with the inflated argmax
- NeurIPS 2024Limits of Transformer Language Models on Learning to Compose Algorithms
- NeurIPS 2024Monoculture in Matching Markets
- ICLR 2023AANG : Automating Auxiliary Learning
- ICLR 2023Omnigrok: Grokking Beyond Algorithmic Data
- ICML 2023Algorithmic Collective Action in Machine Learning
- ICML 2023Brainformers: Trading Simplicity for Efficiency
- NeurIPS 2023TradeMaster: A Holistic Quantitative Trading Platform Empowered by Reinforcement Learning
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查算法交易在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？
AI 会调用的工具：get_topic_stats {"topic": "algorithmic-trading"}
常见问题
- 2023–2026 年四大会议一共有多少篇算法交易论文？
- 共 32 篇，按年份分别是 2023 年 5 篇、2024 年 8 篇、2025 年 3 篇、2026 年 16 篇。
- NeurIPS 2026 有多少篇算法交易论文？
- NeurIPS 2026 有 11 篇算法交易论文，上一届是 1 篇。
- ICLR 2026 有多少篇算法交易论文？
- ICLR 2026 有 2 篇算法交易论文，上一届是 2 篇。
- ICML 2026 有多少篇算法交易论文？
- ICML 2026 有 3 篇算法交易论文。
- 哪个会议的算法交易论文最多？
- NeurIPS，2023–2026 年共 19 篇。