AI Market Research

AI workflows and prompt playbooks for market analysis, on-chain research, and trading idea generation.

This track is about research systems — not hot takes. You’ll learn how to use AI to compress time: scan news, digest macro docs, summarize on-chain dashboards, and turn it into a daily plan.

The rule is simple: AI can help you move faster, but your edge comes from verification. Every workflow here is designed to reduce hallucinations and keep decisions grounded in data.

Research FAQ

What is an AI trading research workflow?

It’s a repeatable process that uses AI tools to gather information, summarize data, and generate hypotheses — then you verify the claims with primary sources before trading.

Which tools do you use?

We compare and combine tools like ChatGPT, Claude, and Gemini. Each has strengths: summarizing long documents, reasoning, coding quick scripts, and structuring checklists.

How do I avoid hallucinations?

Treat AI output as a draft. Require links or citations, cross-check with original sources, and separate facts from interpretations. For trading, always validate with market data and risk constraints.

Where should I start?

Start with the daily 15-minute routine, then add deeper modules like macro analysis and on-chain analysis.

Got stuck? Have questions?

Join our Telegram group to ask questions, share your bots, and connect with other AI traders.

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