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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).
A Java library for technical analysis.
AI agents that actually place the trade. 12 brokers, real backtests, stocks options futures forex crypto and prediction markets.
Finviz analysis python library.
A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.
Forex algorithmic trading framework using OANDA REST API.
Open-source AI trading signal engine with a public, inspectable outcome ledger. Our own signals lose money on average after modeled costs — we publish every row anyway. Multi-timeframe TA, backtester, paper trading, Telegram/Discord alerts. Self-hosted, Next.js + PostgreSQL, MIT.
This repository contains the source code and content for the website algotradinglib.com, focused on algorithmic trading and financial market analysis.
Example strategies for the QTradeX platfrom
Python client library to give traders, quants, and analysts access to forex macroeconomic data via the FXMacroData API.
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