quant-trading
A collection of Python scripts for backtesting quantitative trading strategies, including technical indicators, options strategies, and quantamental analysis.
What is quant-trading?
Quant-trading is a Python-based repository for developing and backtesting quantitative trading strategies. It provides a collection of scripts covering technical indicators, options strategies, and statistical arbitrage, helping traders and researchers evaluate algorithmic approaches without expensive proprietary platforms. The project focuses on historical data backtesting with assumptions of frictionless trading.
Algorithmic traders, quantitative researchers, and finance students who want to experiment with trading strategies using Python. It's suitable for those looking to understand or implement common technical indicators, options strategies, or statistical arbitrage techniques.
It offers a comprehensive, open-source toolkit for quantitative trading strategy development, combining well-documented implementations of popular strategies with unique quantamental research projects. Unlike commercial platforms, it provides full transparency and customization while being accessible to Python developers.
Overview
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
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