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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
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
AI agents that actually place the trade. 12 brokers, real backtests, stocks options futures forex crypto and prediction markets.
Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering
A composable, real time, market data and trade execution toolkit. Built with Elixir, runs on the Erlang virtual machine
From Idea to Execution - Manage your trading operation across a distributed cluster
PriceHub: Unified Python Package for Collecting OHLC Prices from Binance, Bybit, OKX, Coinbase, Kraken APIs into a DataFrame