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GitHub data synced: Apr 14, 2024 • Sentiment updated: Mar 16, 2026
Community Buzz: The project 'je-suis-tm/quant-trading' has garnered significant attention from the quant trading community, with users praising its comprehensive approach to algorithmic trading and statistical arbitrage. The project's extensive documentation and well-structured code have made it a valuable resource for traders and developers alike.
The quant-trading repository is valuable because it provides a comprehensive set of quantitative trading strategies that can be used to generate trading signals and optimize portfolio performance. The repository includes a range of technical indicators, including MACD oscillators, Bollinger Bands, and parabolic SAR, as well as more advanced strategies like statistical arbitrage and quantamental analysis. The repository's focus on Python and historical data backtesting makes it an attractive option for traders and researchers looking to develop and test their own trading strategies.
Build a quantitative trading strategy using MACD oscillators — This repository provides a Python implementation of MACD oscillators that can be used to generate trading signals, Build a statistical arbitrage system using historical data — The quant-trading repository includes scripts for backtesting and forward testing trading strategies using historical data, Build a momentum trading strategy using Bollinger Bands — This repository includes a Bollinger Bands pattern recognition script that can be used to identify trading opportunities, Build a commodity trading advisor using Monte Carlo simulations — The repository includes a Monte Carlo project that can be used to simulate and optimize trading strategies, Build a pair trading system using quantamental analysis — The repository includes a pair trading script that uses quantamental analysis to identify trading opportunities
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
Official site: https://je-suis-tm.github.io/quant-trading
Category: trading
Tags: algorithmic-trading, bollinger-bands, commodity-trading, macd, momentum-strategy, momentum-trading-strategy, options-strategies, options-trading, pair-trading, quant, quantimental-analysis, quantitative-finance, quantitative-trading, quantitative-trading-strategies, statistical-arbitrage, trading-algorithms, trading-bot, trading-strategies, trading-strategy, trading-systems
This project is relevant to the quantitative finance and trading community, offering a robust framework for developing and executing trading strategies.