https://github.com/Crone1/Bitcoin-Algorithmic-Trading-Paper
공식 코드Exploration of Algorithmic Trading Strategies for the Bitcoin Market
Papers with Code 아카이브
Algorithmic Trading
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An algorithmic trading system is a software that is used for trading in the stock market.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Hongshen-Yang/pair-trading-envs
공식 코드Reinforcement Learning Pair Trading: A Dynamic Scaling approach
https://github.com/QuantLet/CCID
공식 코드Rise of the Machines? Intraday High-Frequency Trading Patterns of Cryptocurrencies
https://github.com/ThibautTheate/An-Application-of-Deep-Reinforcement-Learning-to-Algorithmic-Trading
공식 코드An Application of Deep Reinforcement Learning to Algorithmic Trading
https://github.com/YichiZhang-Oxford/ClusterLOB
공식 코드ClusterLOB: Enhancing Trading Strategies by Clustering Orders in Limit Order Books
https://github.com/ZONG0004/MacroHFT
공식 코드MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency Trading
https://github.com/ai4finance-foundation/fingpt
공식 코드https://github.com/ai4finance-foundation/finnlp
공식 코드https://github.com/evgps/a3c_trading
공식 코드Using Reinforcement Learning in the Algorithmic Trading Problem
https://github.com/fernandodemeer/rl_optimal_execution
공식 코드A Modular Framework for Reinforcement Learning Optimal Execution
https://github.com/gylx/GTNRL-Trading
공식 코드https://github.com/jjjerome/mbt_gym
공식 코드https://github.com/nehemya/Algo-Trade-Adversarial-Examples
공식 코드Taking Over the Stock Market: Adversarial Perturbations Against Algorithmic Traders
https://github.com/qinmoelei/EarnHFT
공식 코드EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency Trading
https://github.com/rayruibochen/dpml
공식 코드Stock Trading Volume Prediction with Dual-Process Meta-Learning
https://github.com/tiagomonteiro0715/AI-Powered-Energy-Algorithmic-Trading-Integrating-Hidden-Markov-Models-with-Neural-Networks
공식 코드AI-Powered Energy Algorithmic Trading: Integrating Hidden Markov Models with Neural Networks
https://github.com/timmens/sawr
공식 코드A Wavelet Method for Panel Models with Jump Discontinuities in the Parameters
https://github.com/timmens/simulation-saw-paper
공식 코드A Wavelet Method for Panel Models with Jump Discontinuities in the Parameters
https://github.com/xicocaio/its-sentarl
공식 코드Intelligent Trading Systems: A Sentiment-Aware Reinforcement Learning Approach
https://github.com/zp1481616577/baselines_lsr-igru
공식 코드LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU
https://github.com/Burntt/FinRL_Crypto
https://github.com/leandro-sbetancourt/gym-mm-pooled-competition
https://github.com/ludel/AutoTrading
Deep Reinforcement Learning in Quantitative Algorithmic Trading: A Review
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.