A unified trading API with more than 100 crypto exchanges and prediction markets in JavaScript / TypeScript / Python / C# / PHP / Go / Java / Rust
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Updated
Oct 3, 2026 - Python
A unified trading API with more than 100 crypto exchanges and prediction markets in JavaScript / TypeScript / Python / C# / PHP / Go / Java / Rust
Download market data from Yahoo! Finance's API
A股全栈数据工具包:行情K线·当日逐笔·研报·信号·资金面·新闻·财务·公告·打板·ETF期权·舆情·宏观利率·期货大宗(含大商所日K)·事件驱动·可转债 | 15层·87端点·34数据源·除iwencai外免Key | A-share data for AI agents: K-lines, ticks, reports, fund flow, news, financials, filings, options, macro, futures, events, convertibles | 15 layers·87 endpoints·34 sources
Transparent and Efficient Financial Analysis
免费开源A股量化交易数据库; 专注A股,专注量化,向阳而生; 开放、纯净、持续、为Ai(爱)发电。为个人量化交易而生,保卫3000点,珍惜底部机会......【股票数据,股票行情数据,股票量化数据,股票交易数据,k线行情数据,股票概念数据,股票数据接口,行情数据接口,量化交易数据】【多数据源融合,动态设置代理,保障数据高可用性】
TradingView MCP server — real-time market data, technical analysis, screeners & backtesting for Claude, ChatGPT, Cursor & any MCP client. Stocks, crypto, forex & futures across global exchanges. Hosted or self-host.
Financial Markets Data Visualization using Matplotlib
Simple connector to Binance Public API
Cryptocurrency Exchange Websocket Data Feed Handler
Details on how to get Binance public data
Python library to download market data via Bloomberg, Eikon, Quandl, Yahoo etc.
Python client for Alpaca's trade API
The Official Python SDK for Alpaca API
Simple python connector to Binance Futures API
HyperView is a terminal-first TradingView strategy lab for downloading market data, backtesting Python strategies with Pine-like behavior, and optimizing SL/TP parameters.
交易猫数据系统
Python wrapper for an unofficial Yahoo Finance API
AI agent skill that answers macro questions — housing, gold, BTC, geopolitics — with probability estimates mined from 13 financial data sources (Polymarket, Kalshi, CFTC, SEC & more). For Claude Code / Cursor / Codex / OpenClaw. | 让 AI Agent 从金融数据中挖掘宏观趋势的数字先知
A working example algorithm for scalping strategy trading multiple stocks concurrently using python asyncio
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