Overview

Unlock the power of AI for your TradingView Desktop charts. This project provides a bridge to connect your locally running TradingView app with AI assistants like Claude Code, enabling sophisticated chart analysis and personal workflow automation. It ingeniously leverages the Chrome DevTools Protocol (CDP) to interact directly with your TradingView instance, offering an unprecedented level of AI-driven control and insight.

Key Features

• AI-Assisted Chart Analysis: Gain AI-driven insights into indicator values, price levels, and chart patterns.
• Pine Script Development: Write, compile, debug, and iterate on Pine Script code with intelligent AI assistance.
• Seamless Chart Control: Navigate charts, change symbols and timeframes, add/remove indicators, and manage alerts programmatically.
• Visual and Data Extraction: Capture screenshots for visual analysis, extract indicator data (lines, labels, tables, boxes), and monitor price action.
• Workflow Automation: Automate repetitive tasks like setting up multi-pane layouts, drawing trend lines, and managing alerts.
• Local-First Processing: All data processing occurs on your machine, ensuring privacy and security.
• Command-Line Interface (CLI): Access all functionalities via a pipe-friendly tv CLI for advanced scripting.
• Streaming Data: Monitor real-time chart data (quotes, bars, indicator values) locally.

Typical Use Cases

• Enhanced Decision Making: Ask your AI assistant to "analyze the current chart for potential support and resistance levels" or "summarize the key indicators on my EURUSD chart."
• Accelerated Scripting: Instruct your AI to "write a Pine Script to alert me when the RSI crosses 70" and then "compile and check for errors."
• Automated Chart Setup: Have your AI "set up a 4-chart grid with SPY, QQQ, AAPL, and MSFT on the daily timeframe."
• Backtesting and Replay: "Start replay mode from March 1st and step through the bars" or "practice entries and exits using the replay function."
• Personalized Monitoring: "Stream the current price of BTCUSD and log it to a file" or "monitor the 'Profiler' indicator table for changes."
• Research and Development: Explore how LLM agents can interact with complex financial interfaces for novel human-AI collaboration scenarios.