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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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An advanced crypto trading bot written in Python
Portfolio analytics for quants, written in Python
QTPyLib, Pythonic Algorithmic Trading
Open-source Rust framework for building event-driven live-trading & backtesting systems
Python client for Alpaca's trade API
A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.
Asynchronous, event-driven algorithmic trading in Python and C++
C++ 17 based library (with sample applications) for testing equities, futures, currencies, etfs & options based automated trading ideas using DTN IQFeed real time data feed and Interactive Brokers (IB TWS API) for trade execution. libtorch/lstm/cuda demo. Support for Alpaca & Phemex. Notifications via Telegram.
Pipeline Extension for Live Trading
From Idea to Execution - Manage your trading operation across a distributed cluster
Self-hosted AI trading strategy lab — paper trading, overnight strategy tournaments, 15+ technical indicators
An open and opinionated trading platform using productive & familiar open source libraries and tools for strategy research, execution and operation.