ChatGPT enhances crypto analysis by interpreting data, summarizing market sentiment, and creating strategic templates. It aids traders in developing bots, interpreting technical data, and backtesting simulations but is not a replacement for human decision-making. Traders must provide quality information for accurate outputs, as ChatGPT's free version lacks real-time data access. Key tools include TradingView for price data, trusted news sources for market narratives, and fundamental data from platforms like Glassnode and Nansen. A four-step process for generating trading signals is outlined: identify market narratives, measure sentiment, interpret technical data, and synthesize this information into trade theses. The model helps link market trends to asset-specific data, offering structured insights without providing investment advice, leaving the final trades to user discretion. The workflow promotes a disciplined approach to market analysis.

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