A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
-
Updated
Nov 7, 2024 - Python
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Code for Machine Learning for Algorithmic Trading, 2nd edition.
A bitcoin trading bot written in node - https://gekko.wizb.it/
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
Python toolkit for quantitative finance
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
A curated list of practical financial machine learning tools and applications.
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
An advanced crypto trading bot written in Python
🔎 📈 🐍 💰 Backtest trading strategies in Python.
Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
Free, open-source crypto trading bot, automated bitcoin / cryptocurrency trading software, algorithmic trading bots. Visually design your crypto trading bot, leveraging an integrated charting system, data-mining, backtesting, paper trading, and multi-server crypto bot deployments.
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)
Self-hosted crypto trading bot (automated high frequency market making) written in C++
Open source crypto trading bot
Free trading strategies for Freqtrade bot
modular quant framework.
Cryptocurrency trading bot in javascript for Bitfinex, Bitmex, Binance, Bybit ... (public edition)
Add a description, image, and links to the trading-strategies topic page so that developers can more easily learn about it.
To associate your repository with the trading-strategies topic, visit your repo's landing page and select "manage topics."