Backtest and live trading in Python

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

《AI Quant Trading - From Zero to One》

A dockerized Jupyter quant research environment.

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Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

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

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.

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.

Python library for downloading and processing Dukascopy historical tick data (Forex, crypto, metals). Supports resume-capable downloads, automatic gap detection, proxy rotation, and efficient pandas integration for backtesting and quantitative analysis.

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

Systematic Volatility Research and Backtesting for equity options

Quant \ Trading \ Momentum Strategy

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

An awesome list of agents specialized for financial data analysis

Find traders actively seeking custom bots, AI agents, or developers. Aggregates Reddit, Twitter, GitHub & Telegram—scores for buying intent (BM25), classifies HOT/WARM/COLD. Free-first: no API keys required.

AI-Powered Crypto Analysis Dashboard!