flybirp / Stock_Predict_DQN
stock trading strategy automatic generated from historical price and volume, using DQN
☆25Updated 7 years ago
Alternatives and similar repositories for Stock_Predict_DQN
Users that are interested in Stock_Predict_DQN are comparing it to the libraries listed below
Sorting:
- Implementations of FX trading with RRL☆64Updated 6 years ago
- Deep Direct Recurrent Reinforcement Learning to learn trading system☆26Updated 7 years ago
- A Project of a Reinforcement Learning course. Simulated competing investment strategies through continuous refinement in a virtual stock …☆15Updated 5 years ago
- Final Thesis at Fudan University, built a trading strategy on Bitcoin market using recurrent reinforcement learning☆28Updated 6 years ago
- Deep Reinforcement Learning for Stock trading task☆20Updated 4 years ago
- Deep Direct Reinforcement Learning for Financial Signal Representation and Trading(http://cslt.riit.tsinghua.edu.cn/mediawiki/images/a/aa…☆29Updated 5 years ago
- A deep learning model for Financial Signal Representation and Trading☆73Updated 6 years ago
- Trading Stock with Deep Reinforcement Learning☆24Updated 6 years ago
- ☆26Updated 7 years ago
- A crypto currency live-trading backend for Huobi☆37Updated 6 years ago
- quantitative trading system based on deep learning and reinforcement learning☆54Updated 6 years ago
- Implementation of the DDPG algorithm for Optimal Finance Trading☆44Updated 5 years ago
- ☆34Updated 4 years ago
- Stock Market Prediction Using Unsupervised Features☆53Updated 6 years ago
- Automated FOREX trading using recurrent reinforcement learning☆33Updated 2 years ago
- An (unofficial) implementation of the post "Trading Bitcoin with Reinforcement Learning".☆100Updated 5 years ago
- Stock Prediction with XGBoost: A Technical Indicators' approach☆28Updated 6 years ago
- A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.☆22Updated 6 years ago
- Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to cho…☆69Updated 8 years ago
- Applying Deep Learning and NLP in Quantitative Trading☆107Updated 6 years ago
- This is a repo for deep reinforcement learning in trading. I used value based double DQN variant for single stock trading. The agent lear…☆70Updated 5 years ago
- DQN stock trading pytorch implementation☆41Updated 6 years ago
- Trend Prediction for High Frequency Trading☆40Updated 2 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…☆58Updated 6 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…☆60Updated 3 years ago
- Learn to use reinforcement learning to maximize the profit gained from a trade.☆27Updated 3 years ago
- Reinforcement Learning Script that trades Equities from Yahoo Finance☆77Updated 6 years ago
- Price Prediction with Machine Learning Models (practicum project at CME group)☆67Updated 9 years ago
- Optimistic Bull or Pessimistic Bear: Adaptive Deep Reinforcement Learning for Stock Portfolio Allocation☆37Updated 5 years ago
- Stock trading strategies play a critical role in investment. However, it is challenging to design a profitable strategy in a complex and …☆42Updated 3 years ago