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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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A unified trading API with more than 100 crypto exchanges and prediction markets in JavaScript / TypeScript / Python / C# / PHP / Go / Java / Rust
Open Source Wealth Management Software. Angular + NestJS + Prisma + Nx + TypeScript 🤍
CCXT for prediction markets. PMXT is a unified API for trading on Polymarket, Kalshi, and more.
Open Source Algorithmic Trading Engine
Open source math and physics engine that executes MATLAB-syntax code. Features a modern compiler, automatic GPU acceleration for large calculations, and support for math on geometry / FEA calculations.
Crypto Exchange Orderflow Service for Building Footprint Candles
Quant trading framework by OctoBot. Write, backtest & automate Python trading strategies like TradingView Pine Script. Work in progress.
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.
QUANTAXIS事务性后台和前端网站
No description.
Skill-as-API: P2P agent collaboration over XMTP. Call remote skills without exposing code. E2E encrypted, revocable trust, async delegation. Zero deps.
MCP server for real-time news with bias scoring, live stock/ETF/crypto data, AI options pricing, balanced news synthesis, and meme search. 10 tools, 5000+ sources, free tier.
63 deterministic quant computation tools for autonomous financial agents. Options, derivatives, risk, portfolio, statistics, crypto/DeFi, macro/FX, TVM. 1,000 free calls/day — no signup.
Reference and issue mirror for @spfunctions/cli, the SimpleFunctions sf command-line interface.
Open, reproducible benchmarks for crypto infrastructure: aggregators, bridges, blockchains, perps. Live data, public methodology.