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How to Build an AI Semi-Automated Trading Assistant using Claude

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One of the most impressive and useful tools I have built using AI is a Claude-TradingView link with a FastAPI local engine, where Claude acts as the data acquisition and interpretation layer, and my local engine acts as the consistent rule-based decision engine.

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The outcome of this is not a signal generator.
Not an indicator.
Not an automated trading system.

But I have built a: Market Structure Decision Support Engine

that:

• Processes live market data
• Maintains session context
• Applies Gamma Reference and Dalton logic consistently
• Tracks auction behaviour
• Identifies developing trade structures
• Produces an objective market read

while leaving the final execution decision to me.

All engines contribute to one market thesis. At that point I shift from:

“What is the market doing?”

to

“What is the market doing, why is it doing it, and who is trapped if it continues?”