MysticQuant42's picture
Upload README.md with huggingface_hub
d7afc6e verified
metadata
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.