Backtest and live trading in Python

The Next-Gen Algorithmic Trading Framework 🚀 (Early Beta)

A dockerized Jupyter quant research environment.

Crypto trading signal bot based on rsi

Python package that enables access to the entire Darwinex Data Offering (DARWIN, FX, Stock, Commodity, Index and Cryptocurrency assets) from one Wrapper Library.

Quant \ Trading \ Momentum Strategy

A quantitative trading strategy backtester with an interactive dashboard. Enables users to implement, test, and visualise trading strategies using historical market data, featuring customisable parameters and key performance metrics. Developed with Python and Polars.

Quant Trading with Microsoft Qlib (https://github.com/microsoft/qlib)

Equities Pair Trading/Statistical Arbitrage and Multi-Variable Index Regression

An awesome list of agents specialized for financial data analysis

An interactive visualization of per-tick liquidity for BTC-PERP on FTX

A multi-exchange, multi-symbol grid trading bot for crypto futures. Supports Binance & OKX & Gate.io, dual-side hedging, risk control, and Docker deployment.

Best GitHub Repo from Algorithm Trader, where Quant is applied in Financial Data. This will include multiple segments and different technolgy to get the outcome

Nautilus_Trader_Jerry_fall_2023 is a customized verision of Nautilus trader by Zhuoran "Jerry" Li on Fall 2023

A Go implementation of algorithm trading tool inspired by PyAlgoTrade

Futures quantitative trading system based on vnpy(基于vnpy的期货量化交易系统)