stockbee-exhaustion-hammer-screener

You can screen for selling exhaustion hammer setups by running the Python script against a stock universe using an FMP API key or offline OHLCV JSON to identify high-quality reversal candidates with prior momentum and pullback depth.

A Stockbee-style exhaustion hammer is a reversal candle with a long lower wick and strong close location. The screener identifies these by scanning OHLCV data for volume confirmation, pullback depth, and prior momentum characteristics.

Yes, you can use near-close OHLCV JSON data for technical analysis stock screening. The Python script supports explicit symbols and offline JSON inputs, enabling reversal candidate identification without a live FMP API connection.

You do not strictly need an FMP API key to scan for swing trading reversal candidates. While an FMP API key enables live universe scanning, you can alternatively process offline OHLCV JSON files to find exhaustion hammer setups.

The stock screening script generates structured JSON and Markdown reports for manual review. These outputs contain candidate details, scores, and ratings to help you evaluate potential selling exhaustion hammer reversal setups.

A limitation of using Python scripts for hammer reversal stock screening is that it requires preconfigured dependencies like pandas and numpy, and outputs are designed for manual review workflows rather than automated trade execution.