JoshuaWu1997 / PyTorch-DDPG-Stock-Trading
An implementation of DDPG using PyTorch for algorithmic trading on Chinese SH50 stock market.
☆28Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for PyTorch-DDPG-Stock-Trading
- Deep Direct Recurrent Reinforcement Learning to learn trading system☆26Updated 6 years ago
- Stock trading strategies play a critical role in investment. However, it is challenging to design a profitable strategy in a complex and …☆36Updated 2 years ago
- This repository contains the main code used in the paper "Deep Reinforcement Learning for Market Making Under a Hawkes Process-Based Limi…☆51Updated last year
- Deep Reinforcement Learning for Stock trading task☆18Updated 3 years ago
- 复现华泰证券《强化学习初探与DQN择时》研报中的DQN模型与效果☆26Updated 2 years ago
- 通过遗传算法、强化学习来自动选择高频因子☆23Updated last year
- A crypto currency live-trading backend for Huobi☆37Updated 6 years ago
- Automated FOREX trading using recurrent reinforcement learning☆32Updated last year
- ☆31Updated 4 years ago
- Our codebase trials provide an implementation of the Select and Trade paper, which proposes a new paradigm for pair trading using hierar…☆111Updated last year
- Trend Prediction for High Frequency Trading☆38Updated last year
- Cryptocurrency Trading with Reinforcement Learning based on Backtrader☆29Updated 2 months ago
- ☆32Updated 4 years ago
- 【Framework】A Multi Factor Strategy based on XGboost, its my homework project in Tsinghua, the Introduction to Quantitative Finance, 2019 …☆15Updated last year
- A genetic programming algorithm used for generating alpha factors in the multi-factor investment strategy☆55Updated 3 years ago
- 多因子模型相关☆21Updated 3 years ago
- 基于基因表达式规划算法的因子挖掘☆24Updated 3 years ago
- A deep learning model for Financial Signal Representation and Trading☆70Updated 6 years ago
- Build DDPG models and test on stock market☆22Updated 5 years ago
- This repository stores the implementation of the paper "DETECTING DATA-DRIVEN ROBUST STATISTICAL ARBITRAGE STRATEGIES WITH DEEP NEURAL NE…☆49Updated 8 months ago
- Deep Direct Reinforcement Learning for Financial Signal Representation and Trading(http://cslt.riit.tsinghua.edu.cn/mediawiki/images/a/aa…☆28Updated 5 years ago
- Jiahao Li, Yong Zhang, Xingyu Yang, and Liangwei Chen. "Online portfolio management via deep reinforcement learning with high-frequency d…☆19Updated last year
- Artificial-Intelligence-Big-Data-Lab / A-Multi-Layer-and-Multi-Ensembled-Stock-Trader-Using-Deep-Learning-and-Deep-Reinforcement-Learning☆51Updated 4 years ago
- ☆14Updated 3 years ago
- This project implements the two deep reinforcement learning algorithms on portfolio management☆44Updated 6 years ago
- backtrader with DRL ( Deep Reinforcement Learning)☆63Updated last year
- ☆17Updated 2 years ago
- ☆13Updated 5 years ago
- The random forest, FFNN, CNN and RNN models are developed to predict the movement of future trading price of Netflix (NFLX) stock using t…☆58Updated 3 years ago
- A DQN agent that optimally hedges an options portfolio.☆23Updated 4 years ago