Building an AI-Assisted Trading Pipeline with TradingView

Description and use

A systematic trading pipeline using TradingView alerts with AI analysis and risk management. Signals flow from TradingView through webhook to AI analysis, pass through risk controls, and execute via broker API.

Problem

Making trading more systematic and reducing emotional decision-making in trading workflows

Outcome

Implemented a systematic trading pipeline that automates signal processing through AI analysis with mandatory risk management safeguards before broker execution, reducing emotional trading decisions

Workflow

• TradingView generates signals based on predefined conditions (EMA crossover, VWAP confirmation, RSI threshold, or volume breakout)
• Webhook sends structured JSON containing symbol, signal, timeframe, and price to the application
• Trading Signal API receives and processes the webhook data
• AI model (Claude) performs structured market data analysis
• Risk management layer enforces position size, stop-loss, and maximum daily loss limits
• Validated signals are sent to Broker API for execution

Evidence

The interesting part isn't trying to make AI predict the market. It's using automation to create a repeatable process that reduces emotional decisions.

Source

Before connecting real capital, the entire pipeline should be backtested, paper traded, monitored, and tested for failure scenarios.

Source