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Awesome List
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
GitHub stars and default-branch commits for wilsonfreitas/awesome-quant.
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Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
An advanced crypto trading bot written in Python
Free, open source, a high frequency trading and market making backtesting and trading bot, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books(Level-2 and Level-3), with real-world crypto trading examples for Binance and Bybit
Statistical and Algorithmic Investing Strategies for Everyone
A Java library for technical analysis.
Common financial technical indicators implemented in Pandas.
Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy
A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.
Kelp is a free and open-source trading bot for the Stellar DEX and 100+ centralized exchanges
A Python async and event driven framework for algorithmic trading, with a focus on crypto currencies.
A Python library for evaluating option trading strategies.
Python framework for quantitative financial analysis and trading algorithms on decentralised exchanges
Forex algorithmic trading framework using OANDA REST API.
Kelly Criterion calculation
Python algorithmic trading bot framework for Kubernetes: backtesting, hyperparameter optimization, 150+ technical analysis indicators (RSI, MACD, Bollinger Bands, ADX), portfolio management, PostgreSQL integration, Helm deployment, CronJob scheduling. Minimal overhead, production-ready, Yahoo Finance data.
This repository contains the source code and content for the website algotradinglib.com, focused on algorithmic trading and financial market analysis.