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The open-source project tradingview-mcp connects Claude Code to a local TradingView desktop app via the Chrome DevTools protocol, providing 84 MCP tools that let you read market data, operate charts, write and debug Pine Script, and run backtests using natural language — replacing the paid TradingView Copilot.
Introduces tvscreener, a Python library that can directly fetch TradingView stock screener data, supports multiple markets and 13,000+ technical indicators, returns Pandas DataFrame, and is convenient for quantitative strategy use.
A simple Python library retrieves data from TradingView Screener, featuring a visual code generator for 13,000+ fields and Model Context Protocol (MCP) support for AI assistants.
This article introduces an open-source tool called TradingView MCP Bridge, which connects Claude Code with the locally running TradingView Desktop via the MCP protocol, enabling AI to read charts in real time, develop Pine Script strategies, perform historical backtesting, etc., forming a powerful trading charting combo.
A tool that connects Claude Code to TradingView Desktop via Chrome DevTools Protocol, enabling AI-assisted chart analysis, Pine Script development, and workflow automation. All data processing is local and requires a valid TradingView subscription.