rajatgarg149 / Stock-Trading-using-RRLLinks
☆18Updated 6 years ago
Alternatives and similar repositories for Stock-Trading-using-RRL
Users that are interested in Stock-Trading-using-RRL are comparing it to the libraries listed below
Sorting:
- Final Thesis at Fudan University, built a trading strategy on Bitcoin market using recurrent reinforcement learning☆28Updated 6 years ago
- Automated FOREX trading using recurrent reinforcement learning☆33Updated 2 years ago
- Deep Direct Recurrent Reinforcement Learning to learn trading system☆26Updated 7 years ago
- ☆17Updated 3 years ago
- Stock Market Prediction Using Unsupervised Features☆54Updated 7 years ago
- Deep q learning on determining buy/sell signal and placing orders☆50Updated 6 years ago
- Unsupervised Learning to Market Behavior Forecasting Example☆42Updated 5 years ago
- 2 algorithms of optimal trade execution: 1) Dynamic Programming 2) Frank-Wolfe Algorithm (Python & C++)☆18Updated 5 years ago
- ☆27Updated 7 years ago
- Deep learning for price movement prediction using high frequency limit order data☆40Updated 7 years ago
- Machine learning approach to high frequency trading, MLP & RNN used☆22Updated 9 years ago
- Creating DRL infrastructure for Dynamic Beta with Zipline and Keras☆14Updated 2 years ago
- Reinforcement Learning in FX Trading☆28Updated 6 years ago
- apolanco3225 / Deep-Reinforcement-Learning-for-Optimal-Execution-of-Portfolio-Transactions-using-DDPGPerforming a trading strategy using deep deterministic policy gradients to know when to buy, hold or sell stocks in a virtual environment…☆57Updated 6 years ago
- A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.☆22Updated 7 years ago
- A Deep Reinforcement Learning model for high volume and frequency Forex Portfolio Management☆12Updated 2 years ago
- Alpaca-based Order Book Inbalace Algorithm.☆12Updated 5 years ago
- A crypto currency live-trading backend for Huobi☆35Updated 7 years ago
- a unified environment for supervised learning and reinforcement learning in the context of quantitative trading☆45Updated 4 years ago
- Reproduce the result of the paper "Deep Learning with Long Short-Term Memory Networks for Financial Market Prediction"☆19Updated 5 years ago
- Trend Prediction for High Frequency Trading☆43Updated 2 years ago
- Financial time-series forecasting has long been a challenging problem because of the inherently noisy and stochastic nature of the market…☆16Updated 4 years ago
- Implementation of AFML Book☆21Updated 6 years ago
- A Deep Reinforcement Learning neural net for an original Multi-Dimensional Pairs Trading strategy is proposed☆21Updated 6 years ago
- ☆19Updated 5 years ago
- This project explores stock trading modelling with the use recurrent neural network (RNN) with long-short term memory (LSTM) architecture…☆27Updated 6 years ago
- Deep learning for limit order book trading and mid-price movement☆56Updated 5 years ago
- Trading Stock with Deep Reinforcement Learning☆24Updated 7 years ago
- Exploring Optimal Order Execution in Simulated Limit Order Books☆20Updated 2 years ago
- Momentum following strategies and optimal execution cost upon Implement Shortfall algorithm☆15Updated 6 years ago