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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
A complete set of volatility estimators based on Euan Sinclair's Volatility Trading
Backtestable AI trading agents and Python algorithmic trading strategies for stocks, options, crypto, futures, forex, SEC filings, FRED macro data, and real brokers.
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.
A Python library for evaluating option trading strategies.
Writing financial contracts in Julia
📚 MesoSim's Strategy Library
Systematic options trading intelligence for small accounts. Create desks in your portfolio, allocate capital and risk appetite at Desk Level. Every trade generated by system is specific for the desk keeping in mind capital allocation, risk limits, position sizing
Realistic limit-order fill simulator for options credit/debit spreads. Engine-agnostic, data-source-agnostic.