#Quant-trading
Showing 17 of 17 repositories tagged #quant-trading, ranked by stars
Backtest and live trading in Python
The Next-Gen Algorithmic Trading Framework 🚀 (Early Beta)
A dockerized Jupyter quant research environment.
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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.
A multi-exchange, multi-symbol grid trading bot for crypto futures. Supports Binance & OKX & Gate.io, dual-side hedging, risk control, and Docker deployment.
Your personal multi-asset quant research team, powered by LLMs. Crypto + A-share + HK + US, with backtest engine, factor lab and event-driven news intake.
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.
A gamified learning platform to help BSc Math students become top 1% Quant Researchers with Ben 10 theme
Systematic Volatility Research and Backtesting for equity options
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 with Microsoft Qlib (https://github.com/microsoft/qlib)
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.
Relative Rotation Graphs (RRG) for Indian stock markets (NSE, NIFTY) to track sector rotation and relative strength. Uses RS-Ratio and RS-Momentum to identify outperforming and weakening sectors, based on the Julius de Kempenaer RRG methodology, adapted for Indian equity markets
Curated roadmap for quant finance interviews (Quant Trader, Quant Researcher, Quant Analyst): probability, mental math, brainteasers, coding & high-signal resources.
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
An interactive visualization of per-tick liquidity for BTC-PERP on FTX