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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:
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- name: datetime
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dtype:
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- name: short_volume
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dtype: int64
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- name: total_volume
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dtype: float64
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- name: market_maker_short_ratio
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dtype: float64
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- name: train
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num_bytes: 493847664
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num_examples: 10182426
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download_size: 420232120
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dataset_size: 493847664
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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: string
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- name: datetime
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dtype: string
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- name: short_volume
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dtype: int64
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- name: total_volume
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dtype: float64
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- name: market_maker_short_ratio
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dtype: float64
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---
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# Dataset Information
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Weekly **Short Volume** statistics for publicly traded companies, provided by **SOV.AI**.
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The dataset highlights aggregate and segmented short-selling activity across exchanges and participant types.
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- **Coverage**: Major US-listed equities with reported short volume
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- **Update cadence**: Weekly snapshots reflecting exchange-reported short volume
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- **Fields**:
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- `short_volume`: Shares sold short during the period
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- `total_volume`: Total shares traded
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- `short_volume_ratio_exchange`: Ratio of short to total volume at the exchange level
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- `retail_short_ratio`: Share of short volume attributed to retail traders
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- `institutional_short_ratio`: Share of short volume attributed to institutional traders
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- `market_maker_short_ratio`: Share of short volume attributed to market makers
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## Data Source
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Data provided by SOV.AI.
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