AI Summary

Overview

Unlock the power of AI for your TradingView Desktop charts with the TradingView MCP Bridge. This innovative tool bridges Claude Code with your locally running TradingView application, enabling sophisticated AI-assisted chart analysis, streamlined Pine Script development, and personal workflow automation. It operates entirely locally, ensuring your data remains private and secure.

Key Features

  • AI-Assisted Analysis: Connect Claude Code to your TradingView Desktop for intelligent chart interpretation and decision support.
  • Pine Script Development: Write, compile, debug, and iterate on Pine Scripts with AI guidance directly within your TradingView environment.
  • Chart Interaction & Automation: Programmatically control chart elements, including symbol changes, timeframe adjustments, indicator management, and drawing on charts.
  • Data Extraction & Monitoring: Access indicator values, price levels, and chart annotations, with streaming capabilities for real-time monitoring.
  • Local-First Design: All data processing occurs on your machine; no TradingView data is transmitted externally.
  • Command-Line Interface (CLI): A flexible tv CLI tool allows for piped JSON output and seamless integration with other command-line tools.
  • Replay Mode: Step through historical bars, practice trading strategies, and analyze past market movements with AI.
  • Multi-Pane Layout Management: Effortlessly set up and manage multi-chart layouts for comprehensive market overview.

Typical Use Cases

  • Accelerated Pine Script Creation: Developers can leverage Claude Code to rapidly prototype, refine, and debug Pine Scripts, significantly reducing development time.
  • Enhanced Chart Comprehension: Traders can ask Claude Code to interpret complex chart patterns, identify key levels, or summarize indicator readings, aiding in faster decision-making.
  • Workflow Automation: Automate repetitive tasks such as switching symbols, adjusting timeframes, setting alerts, or preparing chart layouts based on AI instructions.
  • Research and Development: Explore the frontier of human-AI collaboration in financial interfaces, studying how LLM agents can effectively assist human traders in real-time environments.
  • Personalized Trading Insights: Gain custom insights by having your AI assistant analyze your specific chart setups and identify actionable information.

Repository Trajectory

Trended #10 on daily

July 21, 2026

First tracked on GitTrend

July 21, 2026

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