Claude and TradingView Setup Shows AI Trading Assistant Workflow

• Analyst ItsRagnar shared a guide on connecting Claude Code with TradingView through an MCP bridge.
• The setup requires TradingView desktop, Claude Code, Node.js 18 or higher, and a supported computer.
• Claude can open charts, add indicators, summarize tickers, and support Pine Script workflows.

Analyst ItsRagnar shared a guide on building an AI trading assistant using Claude Code and TradingView. The setup connects Claude with live TradingView charts through an MCP bridge, giving users a way to automate chart analysis and crypto workflow tasks.

The guide focuses on practical setup rather than theory. It shows how Claude can open charts, add indicators, read live market data, and summarize watchlists, while later steps can link the workflow with exchange tools such as Kraken CLI.

Claude Links to TradingView

According to the source, the workflow uses TradingView MCP Bridge, a GitHub project built to connect Claude Code with the locally running TradingView desktop app. The bridge uses the Chrome DevTools protocol, allowing Claude to interact with chart data directly.

The setup requires a valid TradingView subscription, the TradingView desktop app, Claude Code, Node.js 18 or newer, and a computer running macOS, Windows, or Linux. Users can install Node.js from its official site, then follow the quick install instructions from the GitHub repository.

Notably, ItsRagnar used Claude in plan mode before installation. That allowed Claude to read the repository instructions, create a setup plan, clone the project, install dependencies, update the MCP configuration, and launch TradingView with a debug port.

The source also showed that the setup may require troubleshooting. Claude first failed to detect the MCP tools, then checked the server, reviewed possible issues, and completed the health check after several restart attempts and configuration fixes.

Assistant Reads Live Charts

After the connection worked, Claude opened an Ethereum-to-USDT chart on the 15-minute timeframe from a simple prompt. The TradingView desktop app responded directly, showing that the assistant could control the chart environment.

It’s Ragnar, who then asked Claude to add RSI, and the indicator appeared on the TradingView chart. This step showed that the MCP bridge gives Claude access to the chart’s live structure, not only a still image.

According to the guide, Claude can also research popular traders and add the indicators they commonly use. In the example, it added tools such as MACD, RSI, and OBV, then gave a clear summary of the changes made.

Meanwhile, Claude can summarize a crypto watchlist. The guide showed a weekly summary that included open, high, low, close, daily volume, key levels, and a short explanation of recent price action.

Kraken CLI Adds Next Step

Analyst ItsRagnar framed the setup as a base layer for a personal AI trading assistant. The current workflow can support chart reviews, Pine Script work, ticker summaries, indicator changes, and alerts around selected market conditions.

However, TradingView does not execute trades in this setup. The assistant helps with analysis and workflow automation, while actual execution would need a separate exchange tool.

According to the source, the next step involves connecting the TradingView assistant with Kraken CLI. That tool gives developers and AI agents access to crypto spot markets, futures, stocks, forex, derivatives, staking, and WebSocket streaming.

Kraken CLI also supports paper trading before live use. That gives users a test environment where they can review strategy behavior before connecting real funds, while Claude and TradingView manage the chart-analysis side.

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