Building an AI-Assisted Trading Pipeline with TradingView

Описание и применение

Разработан конвейер автоматизированной торговли на основе TradingView с AI-анализом и управлением рисками. Сигналы от TradingView передаются через webhook, анализируются AI, проходят проверку рисков и исполняются через Broker API.

Задача

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

Результат

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

Рабочий процесс

• 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

Доказательства

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.

Источник

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

Источник