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README.md
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---
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dataset_info:
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features:
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- name: symbol
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dtype: float64
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- name: volume
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dtype: float64
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- name: train
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num_bytes: 377979751
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num_examples: 3722965
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download_size: 119415295
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dataset_size: 377979751
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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---
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---
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language:
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- en
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license: other
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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."
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dataset_info:
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features:
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- name: symbol
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dtype: float64
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- name: volume
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dtype: float64
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---
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# Dataset Information
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Weekly **Over-Shorted Stocks** metrics for publicly traded companies, provided by **SOV.AI**.
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Each record captures short interest positioning, changes, and context for individual tickers.
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- **Coverage**: Major US-listed equities with available short interest data
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- **Update cadence**: Weekly snapshots sourced from short interest models
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- **Fields**:
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- `over_shorted`: Relative measure of how over-shorted a ticker is
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- `over_shorted_chg`: Week-over-week change in the over-shorted measure
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- `short_interest`: Shares currently sold short
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- `number_of_shares`: Total shares outstanding
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- `short_percentage`: Percentage of float sold short
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- `short_prediction`: Model prediction for short interest trend
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- `days_to_cover`: Estimated days to cover outstanding short positions
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- `market_cap`: Market capitalization (USD)
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- `total_revenue`: Reported revenue (USD)
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- `volume`: Trading volume for the period
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## Data Source
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Data provided by SOV.AI.
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