paperswithbacktest/Stocks-Weekly-ShortOverShorted

language:

• —en license: other extragatedprompt: "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: overshortedchg dtype: float64
• —name: short_interest dtype: float64
• —name: numberofshares dtype: float64
• —name: short_percentage dtype: float64
• —name: short_prediction dtype: float64
• —name: daystocover 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.