giladbi / algorithmic-tradingLinks
Algorithmic Trading program, that uses Genetic Programming and Genetic Algorithms to predict stock prices.
☆106Updated 6 years ago
Alternatives and similar repositories for algorithmic-trading
Users that are interested in algorithmic-trading are comparing it to the libraries listed below
Sorting:
- HFTrader is fully automated high frequency trading system☆95Updated 12 years ago
- Select a supervised algorithm that can predict stock prices of historical data based on the predictors (statistical indicators). Accordin…☆44Updated 2 years ago
- Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to cho…☆71Updated 8 years ago
- An intelligent recommender system for stock analyzing, predicting and trading☆141Updated 3 years ago
- Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf☆94Updated 3 years ago
- Algo execution engine☆96Updated 9 years ago
- Implementing technical indicators that are not implemented in ta-lib☆68Updated 9 years ago
- Predict stock movement with Machine Learning and Deep Learning algorithms☆52Updated 3 years ago
- Autoencoder framework for portfolio selection (paper published by J. B. Heaton, N. G. Polson, J. H. Witte.)☆134Updated 5 years ago
- Machine learning in Python for stock market and forex market predictions (fully functional)☆59Updated 7 years ago
- Novice's attempt for Stock Prices Prediction & Portfolio Optimization using Machine Learning with Python & Scikit Learn☆56Updated 4 years ago
- portfolio construction and quantitative analysis☆144Updated 10 years ago
- Implemented Recurrent Neural Networks in Keras with candlestick stock price information to predict future price movement.☆56Updated 8 years ago
- Modular trading models with Interactive Brokers and backtester in Python☆123Updated 6 years ago
- Python library for high frequency portfolio analysis, intraday backtesting and optimization☆68Updated 8 years ago
- Python library for backtesting technical/mechanical strategies in the stock and currency markets☆102Updated 8 years ago
- Reproduce research from paper "Predicting the direction of stock market prices using random forest"☆118Updated 7 years ago
- A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.☆22Updated 7 years ago
- Neural Network for HFT-trading [experimental]☆88Updated 4 years ago
- High frequency AI based algorithmic trading module.☆73Updated 9 years ago
- Machine Learning Stock Trading Risk Analysis (Spring 2017)☆28Updated 8 years ago
- Implementations of FX trading with RRL☆64Updated 7 years ago
- Technical Analysis Library Time-Series☆154Updated 5 months ago
- Reinforcement Learning for Automated Trading☆90Updated 8 years ago
- Python based Quant Finance Models, Tools and Algorithmic Decision Making☆46Updated 8 years ago
- Utility framework for back-testing technical trading strategies in Python.☆82Updated 5 years ago
- Proof of concept Cointegration-Based spread trading strategy applied to the Foreign Exchange market☆37Updated 9 years ago
- ☆65Updated 7 years ago
- Algorithmic Trading using RNN☆35Updated 9 years ago
- Backtesting toolbox for trading strategies - DEPRECATED☆111Updated 5 years ago