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Short Squeeze Risk Score Calculator
Deterministic squeeze risk score from short metrics.
Generate a deterministic 0–100 squeeze-risk score using short interest %, days-to-cover, and relative volume inputs.
Results
Squeeze risk score
100.0
Deterministic score is 100.0 / 100 (High setup).
- Risk tier
- High
- Short interest %
- 24.00%
- Days to cover
- 6.00
- Relative volume
- 2.20x
Formula
Score = clamp((SI% × 1.5) + (Days to Cover × 12) + max(0, RVOL - 1) × 18, 0, 100)
Example
- Short interest %: 24
- Days to cover: 6
- Relative volume: 2.2
What does this mean?
- •Higher score implies stronger squeeze setup ingredients.
- •Score is deterministic and does not predict certainty.
- •Catalysts and borrow conditions still matter.
Rank squeeze pressure with one score
Normalize three core inputs into a single deterministic signal.
What is a short squeeze risk score?
Generate a deterministic 0–100 squeeze-risk score using short interest %, days-to-cover, and relative volume inputs. In practice, this means you can quantify short squeeze risk score using short interest %, days to cover, and relative volume without relying on hidden assumptions or black-box scoring.
Primary input set for this calculator: Short interest %, Days to cover, Relative volume.
How to calculate short squeeze risk score
- 1.Step 1: Enter short interest % with the timeframe/context you want to evaluate.
- 2.Step 2: Enter days to cover with the timeframe/context you want to evaluate.
- 3.Step 3: Enter relative volume with the timeframe/context you want to evaluate.
- 4.Step 4: Apply formula Score = clamp((SI% × 1.5) + (Days to Cover × 12) + max(0, RVOL - 1) × 18, 0, 100).
- 5.Step 5: Interpret output together with risk, liquidity, and catalyst context.
Why this metric matters
This metric quantifies crowding and potential unwind dynamics, which can materially change volatility regimes.
Pair this calculator with catalyst context from headlines, filings, and options flow to avoid relying on isolated numbers.
When to use this calculator
- ✓Before opening a new position where short squeeze risk score impacts sizing or risk.
- ✓After a catalyst to quantify how much conditions changed versus your baseline.
- ✓When comparing setups across multiple tickers with one consistent formula.
- ✓During weekly review to keep decision-making tied to measurable inputs.
Common scenarios
Higher score implies stronger squeeze setup ingredients
Use this short squeeze risk score workflow to quantify this scenario with deterministic inputs.
Score is deterministic and does not predict certainty
Use this short squeeze risk score workflow to quantify this scenario with deterministic inputs.
Catalysts and borrow conditions still matter
Use this short squeeze risk score workflow to quantify this scenario with deterministic inputs.
Event reaction review
Recalculate short squeeze risk score immediately after earnings, filings, or macro headlines.
Interpretation tips
- •Re-run short squeeze risk score whenever key inputs change materially, not only when price moves.
- •Document assumptions so the same methodology can be repeated across watchlist names.
- •Use this metric as one layer in the decision stack, not as a standalone trade trigger.
Data caveats
- –Outputs are deterministic from your inputs; input quality determines output quality.
- –This page does not auto-adjust for broker fees, taxes, or slippage unless you include them in your assumptions.
- –Validate corporate action details, filing dates, and data freshness before acting on results.
FAQ
How does the short squeeze risk score calculator work?
Short Squeeze Risk Score Calculator is deterministic and uses only your inputs (short interest %, days to cover, relative volume). Formula: Score = clamp((SI% × 1.5) + (Days to Cover × 12) + max(0, RVOL - 1) × 18, 0, 100).
What does this output tell me in practice?
Deterministic squeeze risk score from short metrics. Short data is delayed by reporting cycles, so combine this with current liquidity signals.
Does the short squeeze risk score calculator use real-time market feeds?
No. This page does not auto-pull live data. You control all inputs and can rerun instantly as market conditions change.
Can I use this result directly for trading decisions?
Use it as a planning layer. Combine with position sizing, liquidity, and catalyst context before any execution.
