Tag
#financial-data
28 repositories
Repos
Finance application that provides more than 60 different alternative data to retail investors
Google Spreadsheets add-on to get data directly from Binance API without any intermediaries! :rocket:
统一的实时金融行情数据API，覆盖外汇、贵金属、指数、美股、港股、A股和加密货币，支持 WebSocket 实时推送与 REST 接口访问 | Unified real-time market data API covering forex, commodities, indices, US stocks, HK stocks, A-shares and cryptocurrencies, with WebSocket streaming and REST access
Yahoo finance/Google finance/Coinbase/Bittrex/Binance/Tiingo historical quote downloader library and cli written in golang
A Complete Python Wrapper for Polygon.io APIs. Including Stocks, Options, Streaming, Forex & Crypto, References API and more...
Build an Autonomous Web3 AI Trading Agent (BASE + Uniswap V4 example)
A Model Context Protocol (MCP) server that provides real-time cryptocurrency analysis via CoinCap's API. Enables Claude and other MCP clients to fetch crypto prices, analyze market trends, and track historical data.
Tickergram is a Telegram bot to look up quotes, charts, general market sentiment and more.
analystOS - AI research platform for stocks and crypto with Web UI + Notion automation. Upload docs, scrape URLs, chat with research via RAG. Powered by OpenRouter (50+ models).
Ensemble price forecasting with volatility prediction (XGBoost on cached features). Multiple simulated paths per request; CRPS scoring for calibration and sharpness. Synthetic price data for options and portfolio analytics. Python, XGBoost, NumPy, Pandas, properscoring, Pyth API, PostgreSQL, Pydantic, Docker.
A Python application that collects real-time perpetual market data from Hyperliquid.
This project aims at fetching exchange trade data from two popular cryptocurrencies, Monero and Bitcoin, and aggregating it in the OHLC format that is used to create candlesticks. The candlesticks created are saved in a local MySQL database.
Build and manage financial data terminals using Rust with real-time updates via WebSocket and a terminal UI powered by Ratatui and Tokio.
Analyze historical Bitcoin data using clustering and pattern recognition to uncover market trends and potential price movements.
📊 Build with the TAAPI Go library for easy access to the taapi.io technical analysis API, featuring a fluent interface and robust error handling.
Async financial data engine with Parquet caching, provider fallback, and WebSocket streaming across FX, crypto, and equities.
MLAI is a DeFi solution that uses AI and ML to detect and prevent fraud and malicious activities in the decentralized finance ecosystem. MLAI leverages smart contracts, blockchain data, and external sources to monitor, analyze, and flag suspicious transactions and actors. MLAI also provides risk scores and recommendations for DeFi user