paperswithbacktest/Stocks-Weekly-ShortOverShorted

---
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.