Building an AI-Assisted Trading Pipeline with TradingView

说明与用途

基于TradingView的自动化交易流程，结合AI分析和风险管理。TradingView信号通过webhook传输，经AI分析，通过风险控制后由Broker API执行。

问题

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

结果

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

工作流

• 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

证据

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.

来源

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

来源