Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.

Highly Subjective Roadmap to Flutter Development

🖥️ 🖼️ Create fancy screenshots of your code without leaving the editor.

A customized gym environment for developing and comparing reinforcement learning algorithms in crypto trading.

A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym

An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

FinRL: Financial Reinforcement Learning. 🔥

Portfolio and risk analytics in Python

Performance analysis of predictive (alpha) stock factors

Zipline, a Pythonic Algorithmic Trading Library

Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Tra…

Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).

Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau

Using python and scikit-learn to make stock predictions

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis

Stocktwits market sentiment analysis in Python with Keras and TensorFlow.

Predict stock market pricing over 180 minutes using Black-Scholes stochastic modeling and parallel Monte-Carlo simulations.

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Zenbot is a command-line cryptocurrency trading bot using Node.js and MongoDB.

Trading Bot with focus on Evolutionary Algorithms and Machine Learning

A stock trading bot that uses machine learning to make price predictions.

Applying the Trading Deep Q-Network algorithm (TDQN) on shares in the hydrogen sector.

Python library to implement advanced trading strategies using machine learning and perform backtesting.

A set of projects which illustrate the implementation of the 'buy on gap' trading strategy.

open-source trading framework for java, supports backtesting and live trading with exchanges

Intraday Zipline strategy for US stocks that sells stocks which gap below their moving average after previously trading above it. Demonstrates live trading.

An example algorithm for a momentum-based day trading strategy.