giladbi / algorithmic-trading
Algorithmic Trading program, that uses Genetic Programming and Genetic Algorithms to predict stock prices.
☆101Updated 5 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:
- Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to cho…☆69Updated 8 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
- HFTrader is fully automated high frequency trading system☆93Updated 12 years ago
- Machine learning in Python for stock market and forex market predictions (fully functional)☆56Updated 7 years ago
- Technical Analysis Library Time-Series☆152Updated 2 weeks ago
- Implementations of FX trading with RRL☆64Updated 6 years ago
- Neural Network for HFT-trading [experimental]☆86Updated 4 years ago
- Implementing technical indicators that are not implemented in ta-lib☆68Updated 9 years ago
- Algo execution engine☆92Updated 9 years ago
- Stock price trend prediction with news sentiment analysis using deep learning☆71Updated 8 years ago
- Python library for high frequency portfolio analysis, intraday backtesting and optimization☆65Updated 7 years ago
- Novice's attempt for Stock Prices Prediction & Portfolio Optimization using Machine Learning with Python & Scikit Learn☆56Updated 4 years ago
- Extension for creating Performance Reports with Backtrader☆72Updated 7 years ago
- Deep Neural Network Trading collection of Tensorflow Jupyter notebooks☆62Updated last year
- Pair Trading Strategy using Machine Learning written in Python☆117Updated 3 years ago
- Trading environnement for RL agents, backtesting and training.☆165Updated 2 years ago
- Stock Prediction with XGBoost: A Technical Indicators' approach☆28Updated 6 years ago
- Utility framework for back-testing technical trading strategies in Python.☆83Updated 4 years ago
- A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.☆22Updated 6 years ago
- Proof of concept Cointegration-Based spread trading strategy applied to the Foreign Exchange market☆35Updated 9 years ago
- Deep Q-Learning for Market Making☆122Updated 6 years ago
- Implemented Recurrent Neural Networks in Keras with candlestick stock price information to predict future price movement.☆55Updated 8 years ago
- Price Prediction with Machine Learning Models (practicum project at CME group)☆67Updated 9 years ago
- Training an Agent to make automated trading decisions in a simulated stochastic market environment using Reinforcement Learning or Deep Q…☆87Updated 5 years ago
- portfolio construction and quantitative analysis☆139Updated 9 years ago
- ☆62Updated 6 years ago
- Quantopian Pairs Trading algorithm implementation.☆59Updated 7 years ago
- Example of adaptive trend following strategy based on Renko☆120Updated 5 years ago
- Predict stock movement with Machine Learning and Deep Learning algorithms☆51Updated 2 years ago
- ☆126Updated 6 years ago