nmharmon8 / StockMarketGAN
Stock Market Prediction Using Unsupervised Features
☆53Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for StockMarketGAN
- Conversion of the time series values to 2-D stock bar chart images and prediction using CNN (using Keras-Tensorflow)☆39Updated last year
- implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017)☆78Updated last year
- Attempt to replicate: A deep learning framework for financial time series using stacked autoencoders and long- short term memory☆89Updated 2 years ago
- A deep learning model for Financial Signal Representation and Trading☆70Updated 6 years ago
- Unsupervised Learning to Market Behavior Forecasting Example☆40Updated 4 years ago
- A crypto currency live-trading backend for Huobi☆37Updated 6 years ago
- Implementing a Generative Adversarial Network on the Stock Market☆120Updated 2 years ago
- Reinforcement Learning Script that trades Equities from Yahoo Finance☆77Updated 5 years ago
- ☆69Updated 2 years ago
- Implementations of FX trading with RRL☆64Updated 6 years ago
- Deep q learning on determining buy/sell signal and placing orders☆47Updated 5 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…☆53Updated 5 years ago
- A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.☆21Updated 6 years ago
- This project aims to select a supervised algorithm that can predict stock prices basing on historical data and use the predictor generate…☆20Updated 5 years ago
- Automated FOREX trading using recurrent reinforcement learning☆32Updated last year
- Deep Direct Recurrent Reinforcement Learning to learn trading system☆26Updated 6 years ago
- Pair Trading Strategy using Machine Learning written in Python☆112Updated 2 years ago
- Machine learning trading method using meta-labeling. You can see the details in 'Advances in Financial Machine Learning' by Lopez de Prad…☆12Updated 3 years ago
- ☆64Updated 6 years ago
- Stock Prediction with XGBoost: A Technical Indicators' approach☆27Updated 5 years ago
- This program trains an agent: StarTrader to trade like a human using a deep reinforcement learning algorithm: deep deterministic policy g…☆104Updated 5 years ago
- Reinforcement Learning for Automated Trading☆85Updated 7 years ago
- A Project of a Reinforcement Learning course. Simulated competing investment strategies through continuous refinement in a virtual stock …☆13Updated 5 years 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
- Wasserstein GAN with gradient penalty (WGAN-GP) applied to financial time series.☆16Updated 6 years ago
- Optimistic Bull or Pessimistic Bear: Adaptive Deep Reinforcement Learning for Stock Portfolio Allocation☆34Updated 5 years ago
- Reinforcement Learning in FX Trading☆28Updated 5 years ago
- A financial trading method using machine learning.☆58Updated last year
- Financial Time Series Price forecast using Keras for Tensorflow. RNN LSTM☆47Updated 7 years ago
- Trend Prediction for High Frequency Trading☆38Updated last year