where can i find shortsqueeze data

where can i find shortsqueeze data AI+
01-06 US Equity Public

where can i find shortsqueeze data?

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AI+ Standard 01-06
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Identifying potential short squeeze candidates involves analyzing several key data points. Fintel provides a comprehensive suite of tools to track these metrics, offering a data-driven approach to understanding short squeeze potential.

Key metrics to consider for short squeeze analysis include:

  • Short Interest: This indicates the total number of shares currently sold short. High short interest relative to the float suggests significant bearish sentiment and potential for a squeeze if positive catalysts emerge. Fintel provides detailed short interest data, often updated daily.
  • Days to Cover: Calculated by dividing short interest by the average daily trading volume, this metric estimates how many days it would take for all short sellers to cover their positions. A higher number of days to cover implies that a short covering event could lead to sustained upward price pressure due to limited liquidity.
  • Share Borrow Availability and Rate: The cost and availability of shares to borrow are critical indicators. High borrow fees and limited availability can signal increased demand from short sellers and potential difficulty in maintaining short positions, which can exacerbate a squeeze. Fintel's platform often provides real-time borrow rates and availability.
  • Fintel Short Squeeze Score: This proprietary score ranks companies based on a combination of short interest, borrow fees, and other relevant factors, providing a consolidated view of short squeeze potential. This can be a useful starting point for identifying potential candidates.
  • Options Activity: Unusual options activity, particularly a significant increase in call option volume or open interest, can sometimes precede price movements, including short squeezes, as it may indicate bullish sentiment or hedging activity by market makers. Fintel's options flow data can help identify such patterns.

By combining these data points, investors can build a more robust understanding of a stock's short squeeze potential.

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