AI-Driven ETF Analysis: Trader Leverages GPT-5 and Grok-4 for Stock Selection

AI-Driven ETF Analysis: Trader Leverages GPT-5 and Grok-4 for Stock Selection

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An innovative trader is utilizing the power of artificial intelligence to gain an edge in the financial markets. By employing GPT-5 and Grok-4, the trader has created a system to analyze Exchange-Traded Fund (ETF) holdings and identify promising investment opportunities.

The AI-powered system meticulously filters stocks within ETFs, focusing on those with credible catalysts. It then ranks these stocks based on key factors: the recency of the catalyst, its expected durability, and overall market sentiment. The resulting output is a JSON file containing a curated list of approximately 27 recommended stock picks.

The process involves feeding ETF tickers into the AI models and instructing them to filter and score the constituent stocks. Grok-4 and GPT Deep Research are then used to further refine the results and ensure the quality of the recommendations. The trader is actively developing automation for direct output, with associated scripts already available on GitHub, democratizing access to this novel strategy.

This approach underscores the increasing influence of AI in transforming investment strategies and highlights the potential for data-driven decision-making in the financial sector. The development was initially shared on Reddit by user /u/Plastic-Edge-1654; you can find the original post here: https://old.reddit.com/r/artificial/comments/1mx1aub/ai_vs_markets_feeding_etf_holdings_lists_to_gpt_5/