ClementPerroud / RL-Trading-AgentLinks
Profitable Reinforcement Learning Agent on Crypto Markets
☆13Updated 2 years ago
Alternatives and similar repositories for RL-Trading-Agent
Users that are interested in RL-Trading-Agent are comparing it to the libraries listed below
Sorting:
- An open-source framework for reduction of overfitting of DRL agents in Finance☆71Updated 2 years ago
- Deep LSTM Duel DQN Reinforcement Learning Forex EUR/USD Trader☆195Updated 3 years ago
- Reinforcement Learning package for Finance☆133Updated last year
- A Deep Reinforcement Learning Trading Bot with PyTorch☆57Updated 2 years ago
- A Deep Reinforcement Learning Framework for Stock Market Trading☆185Updated 4 years ago
- Artificial-Intelligence-Big-Data-Lab / A-Multi-Layer-and-Multi-Ensembled-Stock-Trader-Using-Deep-Learning-and-Deep-Reinforcement-Learning☆57Updated 5 years ago
- Practical Deep Reinforcement Learning Approach for Stock Trading. NeurIPS 2018 AI in Finance.☆98Updated last year
- An RL model that uses double deep Q learning to generate an optimal policy of stock market trades☆106Updated 3 years ago
- ☆32Updated 5 years ago
- Backtesting an algorithmic trading strategy using Machine Learning and Sentiment Analysis.☆45Updated 3 years ago
- ☆11Updated 2 years ago
- We introduce the first end-to-end Deep Reinforcement Learning based framework for active high frequency trading.☆80Updated 2 years ago
- DQN RL Trading bot for bitcoin☆35Updated 2 years ago
- Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach: A novel algorithmic trad…☆128Updated 4 years ago
- This project uses Deep Reinforcement Learning (DRL) to develop and evaluate stock trading strategies. By implementing agents like PPO, A2…☆95Updated last year
- ☆207Updated last month
- Experimental code supporting the results presented in the scientific research paper entitled "An Application of Deep Reinforcement Learni…☆210Updated 4 years ago
- Using Unsupervised learning, K-means, to determine stock support and resistance levels. Great for trading algorithms/bots using time seri…☆112Updated 4 years ago
- 🚀 Optimizing the Elliott Wave Theory using genetic algorithms to forecast the financial markets.☆172Updated 4 years ago
- Stock trading strategies play a critical role in investment. However, it is challenging to design a profitable strategy in a complex and …☆48Updated 4 years ago
- Forex trading simulator environment for OpenAI Gym, observations contain the order status, performance and timeseries loaded from a CSV f…☆208Updated last year
- Forex trading strategy learning with reinforcement learning☆28Updated last year
- ☆55Updated 4 years ago
- A simple, easy, customizable Gymnasium environment for trading.☆482Updated 10 months ago
- Comparison of few deep learning models on 15m interval USD/EUR time series data☆45Updated 7 years ago
- ☆77Updated last year
- Multi Agent Reinforcement learning for Financial Trading☆13Updated 2 years ago
- backtrader with DRL ( Deep Reinforcement Learning)☆70Updated 2 years ago
- Discover a curated list of projects complementing TensorTrade, distinct from those mentioned in its official documentation. Contributions…☆70Updated 3 years ago
- TraderNet-CRv2 - Combining Deep Reinforcement Learning with Technical Analysis and Trend Monitoring on Cryptocurrency Markets☆38Updated 2 years ago