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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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Production-grade Rust-native trading engine with deterministic event-driven architecture
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
modular quant framework.
Open-source Rust framework for building event-driven live-trading & backtesting systems
Python AutoML for Trading Systems and Sports Betting
高频量化交易平台 C++ Trade Platform for quant developer 【浮生着甚苦奔忙,量化之路阻且长。 行行代码凝心血,十年辛苦不寻常】
A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.
quant framework for stock
Kelp is a free and open-source trading bot for the Stellar DEX and 100+ centralized exchanges
Python-based framework for backtesting trading strategies & analyzing financial markets [GUI :neckbeard:]
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.
Vectorized backtester and trading engine for QuantRocket
AI-powered SDK featuring algorithmic trading, backtesting, deployment on 100+ exchanges, and multiple optimization engines.
An open and opinionated trading platform using productive & familiar open source libraries and tools for strategy research, execution and operation.