algorithmic trading backtest and optimization examples using order book imbalances. (bitcoin, cryptocurrency, bitmex, binance futures, market making)

A Rust high performance cryptocurrency trading API with support for multiple exchanges and language wrappers.

Our codebase trials provide an implementation of the Select and Trade paper, which proposes a new paradigm for pair trading using hierarchical reinforcement learning. It includes the code for the proposed method and experimental results on real-world stock data to demonstrate its effectiveness.

It's a game to get money

algo trading backtesting on BitMEX

sharpe is a unified, interactive, general-purpose environment for backtesting or applying machine learning(supervised learning and reinforcement learning) in the context of quantitative trading

This quant framework applies algorithm trading in Crypto market. The trading pairs focus on spots, perpetuals, futures, and options in Deribit and BitMex.

Python Rebalancer

This project aims to select a supervised algorithm that can predict stock prices basing on historical data and use the predictor generated to form trading strategies.

This project is part of a bigger one. I want to make Algo Trading Easy for you! You can find examples and more information in the documentation. easyT, easyTo trade, easyTo use!

This package offers both traditional benchmark and newly developed Online Portfolio Selection (OPS) algorithms implementation.

Artificial Intelligence for Trading

Deep-learning based trade bot based on Binance API to boost your net worth.

Binance Trading Bot - Buy & sell just due to changes of RSI indicator in different timeframes.

QUANTARMY quantstack | One-click quantitative envoirment based in docker, debian, conda, jupyterlabs,zipline-reloaded and arcticdb

A event can take multiple forms. The objective of this repository is to detect an event when it happens.

reinforcement learning project for stock trading

Algorithm Trading in Stock Market

[June 5, 2020] How could the stock market recover in 76 days?

This is the repository of Machine Learning Internship I have done with CareerLauncher endorsed by AICTE and Intel Partnership