somsagar07 / RL-stock-trading-Links
RL algorithm for stock trading with multiple reward functions
☆11Updated last year
Alternatives and similar repositories for RL-stock-trading-
Users that are interested in RL-stock-trading- are comparing it to the libraries listed below
Sorting:
- Monlan is a collection of Data Science experiments (DRL and other approaches) into FOREX algotrading field. Warning! It's my research pro…☆12Updated 3 years ago
- This project analysed financial data and designed trading strategies by machine learning models.☆10Updated 6 years ago
- A Deep Reinforcement Learning model for high volume and frequency Forex Portfolio Management☆12Updated 2 years ago
- Using a modified version of Werner Duvaud's MuZero implementation (https://github.com/werner-duvaud/muzero-general) this reinforcement ag…☆18Updated 4 years ago
- Limit Order Book for high-frequency trading (HFT) strategies using data science approaches☆24Updated 3 years ago
- A Deep Reinforcement Learning neural net for an original Multi-Dimensional Pairs Trading strategy is proposed☆21Updated 6 years ago
- This project is part of my internship at ULiege on Deep RL in stock market trading☆45Updated 2 years ago
- ☆31Updated 2 years ago
- ☆11Updated 5 years ago
- Reinforcement Learning in FX Trading☆28Updated 6 years ago
- This project is essentially the implementation of the paper “Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time …☆22Updated 5 years ago
- LSTM stock prediction and backtesting☆14Updated 5 years ago
- Applying the Trading Deep Q-Network algorithm (TDQN) on shares in the hydrogen sector.☆11Updated 5 years ago
- Cryptocurrency Trading with Reinforcement Learning based on Backtrader☆46Updated 10 months ago
- Different trading strategies based on technical analysis using Ethereum/USD 5-minute bars data☆21Updated 4 years ago
- Building a High Frequency Trading Engine with Neural Networks☆12Updated 7 years ago
- WATERMELON: Multi-Agent Reinforcement Learning Based Algorithmic Stock Trading System with GUI Application☆17Updated 3 years ago
- Limit Orderbook CNN model implementation for ETH-BTC (buy-low-sell-high indicator)☆17Updated 2 years ago
- Exploring Optimal Order Execution in Simulated Limit Order Books☆19Updated 2 years ago
- We use an adversarial expert based online learning algorithm to learn the optimal parameters required to maximise wealth trading zero-cos…☆10Updated 5 years ago
- Stock Market predictions are one of the most difficult problems to solve, and during the looming days of recession it’s extremely difficu…☆15Updated 5 years ago
- Paper: https://arxiv.org/pdf/2008.12275.pdf☆26Updated 5 years ago
- sharpe is a unified, interactive, general-purpose environment for backtesting or applying machine learning(supervised learning and reinfo…☆50Updated 4 years ago
- Pytorch implementation of Axial-LOB from 'Axial-LOB: High-Frequency Trading with Axial Attention'☆59Updated 2 years ago
- An automatic high frequency trading bot for cryptocurrencies☆23Updated 5 years ago
- ☆11Updated 2 years ago
- Deep learning for limit order book trading and mid-price movement☆56Updated 5 years ago
- This repo contains my reimplementation and improvement of DeepLOB model.☆32Updated 4 years ago
- Pytorch implementation of DeepLOB-ATT and DeepLOB-Seq2Seq from Multi Horizon Forecasting for Limit Order Books☆13Updated 2 years ago
- ☆13Updated 6 years ago