sentiment-vs-fundamental

What problem does it solve?

Identify stocks where sentiment is negative yet fundamentals remain robust, enabling proactive contrarian idea generation.

Core Features & Use Cases

• Three-source policy: Use yfinance-market-data for prices, alphavantage-api for fundamentals, and tavily_search for sentiment and narrative context.
• Freshness and checks: Always fetch latest filings, earnings materials, and news context at run time; re-check fundamentals and sentiment on each run.
• Output and workflow: Normalize data, apply a sentiment-vs-fundamentals mismatch logic, and emit a strict JSON per templates/output_schema.json describing each idea with ticker, sentiment_issue, fundamental_strength, and entry_signal.
• Use Case: Surface contrarian stock ideas where negative sentiment is not supported by deteriorating fundamentals and where a clear entry signal exists.
• These features ensure a robust, evidence-based screening process.

Quick Start

Prompt the AI to generate a strict JSON with ideas where sentiment is negative but fundamentals are solid.