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Short Squeeze Formula:

\[ \text{Squeeze} = \frac{\text{Short Interest}}{\text{Float}} \]

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1. What is Short Squeeze Ratio?

The Short Squeeze Ratio measures the potential for a short squeeze by comparing the number of shares sold short to the total available float. A higher ratio indicates greater squeeze potential as short sellers may need to buy back shares to cover their positions.

2. How Does the Calculator Work?

The calculator uses the short squeeze formula:

\[ \text{Squeeze} = \frac{\text{Short Interest}}{\text{Float}} \]

Where:

Explanation: The ratio shows what percentage of the available float has been sold short. Higher percentages indicate increased potential for a short squeeze.

3. Importance of Short Squeeze Calculation

Details: Monitoring short squeeze potential helps investors identify stocks that may experience rapid price increases if short sellers are forced to cover their positions, potentially leading to significant market movements.

4. Using the Calculator

Tips: Enter the short interest and float values in shares. Both values must be positive numbers, with float greater than zero for accurate calculation.

5. Frequently Asked Questions (FAQ)

Q1: What is considered a high short squeeze ratio?
A: Generally, ratios above 20% are considered high and indicate significant short squeeze potential. Ratios above 40% are extremely high.

Q2: How often is short interest data updated?
A: In the US, short interest data is reported twice monthly by exchanges, typically around the 15th and end of each month.

Q3: Does a high ratio guarantee a short squeeze will occur?
A: No, a high ratio indicates potential, but a squeeze requires a catalyst that forces short sellers to cover their positions rapidly.

Q4: Where can I find short interest data?
A: Most financial websites and brokerage platforms provide short interest data, or you can check directly with stock exchanges.

Q5: What other factors should I consider besides the ratio?
A: Also consider daily trading volume, borrowing costs, company fundamentals, and market sentiment when assessing squeeze potential.

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