short-squeeze-scanner

A short squeeze scanner evaluates stocks by scoring short interest against float, tracking rising price momentum, and detecting volume surges. It identifies catalysts like earnings surprises that could trigger squeezes, outputting a ranked list of candidate stocks.

Key indicators for screening short squeeze potential include short interest, float, price momentum, and volume surge indicators. The scanner combines these metrics with catalyst identification, such as earnings surprises or regulatory approvals, to score stocks on squeeze probability.

Run the scan by executing the scan_short_squeeze.py script with the --output-dir flag to specify your results directory. This analyzes stock performance and market trends, outputting scored short squeeze candidates to the designated folder.

The short squeeze scanner requires the requests dependency to function. Ensure this Python package is installed in your environment before executing the scan_short_squeeze.py script to retrieve short interest and volume data.

You can use Python to automate short interest and price momentum screening by running the scan_short_squeeze.py script. It analyzes stock performance and market trends within the finance sector, scoring squeeze potential based on predefined criteria.