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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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Free, open source crypto trading bot
A unified trading API with more than 100 crypto exchanges and prediction markets in JavaScript / TypeScript / Python / C# / PHP / Go / Java / Rust
An advanced crypto trading bot written in Python
Free open source crypto trading bot to automate AI, Grid, DCA and TradingView strategies on Binance, Hyperliquid and 15+ exchanges, with a simple interface.
A python wrapper for Alpha Vantage API for financial data.
A Java library for technical analysis.
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
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.
Official CoinPaprika API Python client — coin prices, OHLCV, exchanges, and global market stats.
BTC order book microstructure analysis: OBI, CVD, and spread statistics from 38 days of Binance data
Bitcoin and macro market briefings for AI agents: trend signals, regimes, liquidity and ETF flows.
Distributional crypto-return forecasting via Wasserstein-geodesic extrapolation in quantile-function space. WGeo family wins 12/12 (asset × horizon) cells over 6.75y walk-forward CRPS vs GARCH and classical baselines. v0.4.
Simple Python SDK for the CoinPulse crypto portfolio API. No OAuth, no complex setup.