What problem does it solve? Investors and traders need structured, multi-factor analysis across stocks, ETFs, crypto, and mutual funds, but manually combining technical indicators, macro data, sentiment, and fundamentals into actionable trade decisions is slow and error-prone. ## Core Features & Use Cases - 5-Agent Market Scanner: POST /api/ai-brain/analyze scans 40+ universes (stocks_tech, crypto_l1, etfs_sector, mutualfunds, etc.) and returns composite scores, agent verdicts, entry/target/stop zones, and falsifiable thesis assumptions. - Persona-Based Buy Signals: POST /api/recommendations generates 20 recommendations modeled on investor personas such as Buffett, Lynch, Dalio, and Burry, each with entry price, take profit, stop loss, thesis, and bear case. - Technical & Sentiment Analysis: Per-symbol signals from RSI, MACD, EMA, Bollinger Bands, ATR, StochRSI, VWAP, and OBV, plus Reddit sentiment from r/wallstreetbets and 14 FRED macro indicators with regime assessment. - Use Case: Ask the agentic copilot (POST /api/copilot/chat) to scan the tech universe for swing trades; it dispatches scan_market, analyze_symbol, and get_macro tools and streams ranked picks with entry zones and risk/reward ratios. ## Quick Start Ask the assistant to scan the tech stock universe for swing trade candidates with entry, target, and stop-loss zones using the financial analysis endpoints.
