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...Its modules include a stock screener, indicator pipeline, backtesting engine, monitoring center, single-stockanalysis, concept analysis, industry analysis, and post-market review. It also uses LLM capabilities for strategy generation, stockanalysis, financial interpretation, and market recap workflows. The project is for learning and quantitative research only, and its backtests or AI outputs should not be treated as investment advice.
Experimental investment analysis agent that utilizes the Claude 3 Opus
gpt-investor is an experimental AI investment analysis notebook centered on Claude-based stock research workflows. Its first release, Claude-Investor, analyzes companies within a user-selected industry and produces comparative investment reports. The notebook generates relevant ticker symbols, retrieves historical prices, financial statements, balance sheet data, news, analyst ratings, and price targets.