How To Connect Claude to Trading View (Insanely Cool)

Summary of technological concepts & features (Claude ↔ TradingView integration)

Core breakthrough

TradingView MCP enables Claude to interact with TradingView directly, using code-level / live chart data rather than relying on screenshots.

Why this matters vs prior “AI chart reading” tools

Previous approaches often:

• Send images to AI, which introduces staleness/delay (candles can move after the screenshot).
• Suffer from pixel/image ambiguity, where interpretation may be inaccurate.

With TradingView MCP, Claude reads TradingView’s underlying values/code on-screen, allowing it to:

• Track live candle updates
• Use precise pricing, including wick details

How interaction works (under the hood)

The video explains that TradingView chart content is dynamic. Using browser inspect reveals changing code as the chart updates. TradingView MCP leverages this so Claude can effectively “read what’s currently on the chart” without image recognition.

User experience / workflow

Claude is driven via natural language in a terminal (terminal-based chat). Instead of manually analyzing one chart at a time, Claude can:

• Change chart settings (e.g., timeframe)
• Add/remove indicators
• Generate strategies and Pine scripts
• Apply the same logic across multiple tickers

Automation components introduced/modified

The original creator is credited as “Trades Don’t Lie,” but the presenter claims to have:

• Improved setup and usability
• Fixed at least one “launch bug”
• Added additional automation routines beyond the original tool

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Setup / tutorial elements (what the video teaches)

Goal by the end

The speaker’s stated goals:

1. Understand exactly how it works
2. Set it up quickly (“in a couple of minutes”)
3. Use the presenter’s free improved version (not only the original creator’s approach)

Install/setup approach

The presenter avoids manual GitHub copy/paste. Instead, setup uses a single “one-shot setup prompt” that:

• Asks whether to create mcp.json
• Enables Claude automation for the session

After setup:

• TradingView desktop must be running
• CDP must be enabled
• A connection health check command (“TV health check”) is run to verify the MCP connection

Populating rules.json

The workflow requires filling rules.json with:

• A watchlist
• Trading rules including:
  • Bullish/bearish/neutral conditions
  • Entries/exits
  • Risk
  • Timeframes

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Pine Script generation & backtest-enabling workflow

Strategy creation process

The video demonstrates a pipeline where:

• Claude can research or emulate a known setup (example includes):
  • Van de Pop (weekly swing context)
  • Tone Vays MACD plus EMAs (21/50/200) and RSI(14)
• Claude updates rules.json
• Claude converts the strategy into TradingView Pine Script and installs it on the chart

Self-correction behavior

If the generated Pine Script has errors, Claude can:

• Detect problems from the code-level context it sees
• Fix issues iteratively until the script works

Backtesting concept

Once a Pine Script strategy is generated and installed, the user can backtest it historically inside TradingView.

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Multi-asset watchlist + reporting (“morning brief”)

Watchlist automation improvement

In the replicated earlier version, the user had to prompt Claude to analyze each chart individually. The presenter adds a daily routine:

• A terminal command: morning_brief
• It loops through the entire watchlist and generates a single summary report

Alert frequency option (claimed)

The morning brief can be scheduled to run every 10 minutes (or possibly more frequently, per the claim).

Example signals shown

For a weekly watchlist including Bitcoin, Ethereum, Solana, XRP, Chainlink, and Pepe, the reported outputs include examples like:

• Bitcoin bearish, Ethereum bearish, Solana bearish
• XRP neutral, Chainlink bearish, Pepe neutral

Chart-level customization via conversation

The user can request additional logic, for example:

• Add an EMA line (e.g., “20-week EMA”)
• Alert when price “double taps” that line

Claude then updates/extends the Pine Script accordingly.

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Claimed advanced use cases (strategy importing)

“Scrape/transcript to strategy” idea (speculative)

The presenter suggests it may be possible to take transcripts or described decision processes from analysts (examples named: CoinsKid, Blockchain Backer) and have Claude:

• Extract their indicators/logic
• Infer buy/sell rules from the described method
• Convert those rules into Pine Script
• Apply them via rules.json + automated installation

No-emotion execution framing

The presenter emphasizes that once rules are encoded, trading becomes driven by strategy logic rather than emotion.

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Product/review tone

The video is framed as “must-watch” and positioned as meaningfully different from screenshot-based tools because it reads live code/data. The presenter’s version is described as improved, includes bug fixes, and is offered for free.

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Main speakers / sources

• Primary speaker: The channel host/presenter (tests and improves the tool; credits “Trades Don’t Lie”)
• Original tool credited to: Trades Don’t Lie
• Secondary analysts mentioned (examples for transcript-to-strategy): CoinsKid, Blockchain Backer