---
language:
- en
license: other
extra_gated_prompt: "To get access to this dataset, you must subscribe to Papers With Backtest. To subscribe, go to https://paperswithbacktest.com/ > Login > Choose Your Plan > Subscribe."
dataset_info:
  features:
  - name: symbol
    dtype: string
  - name: datetime
    dtype: string
  - name: over_shorted
    dtype: float64
  - name: over_shorted_chg
    dtype: float64
  - name: short_interest
    dtype: float64
  - name: number_of_shares
    dtype: float64
  - name: short_percentage
    dtype: float64
  - name: short_prediction
    dtype: float64
  - name: days_to_cover
    dtype: float64
  - name: market_cap
    dtype: float64
  - name: total_revenue
    dtype: float64
  - name: volume
    dtype: float64

---
# Dataset Information

Weekly **Over-Shorted Stocks** metrics for publicly traded companies, provided by **SOV.AI**.
Each record captures short interest positioning, changes, and context for individual tickers.

- **Coverage**: Major US-listed equities with available short interest data
- **Update cadence**: Weekly snapshots sourced from short interest models
- **Fields**:
  - `over_shorted`: Relative measure of how over-shorted a ticker is
  - `over_shorted_chg`: Week-over-week change in the over-shorted measure
  - `short_interest`: Shares currently sold short
  - `number_of_shares`: Total shares outstanding
  - `short_percentage`: Percentage of float sold short
  - `short_prediction`: Model prediction for short interest trend
  - `days_to_cover`: Estimated days to cover outstanding short positions
  - `market_cap`: Market capitalization (USD)
  - `total_revenue`: Reported revenue (USD)
  - `volume`: Trading volume for the period

## Data Source
Data provided by SOV.AI.