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Dataset Information

Monthly bankruptcy probability estimates for US-listed equities. Scores are sourced from SOV.AI's ensemble models and refreshed each month.

Instruments Included

  • 4,700+ US Stocks

Dataset Columns

  • symbol: Stock ticker symbol for each company.
  • datetime: Month-end date of the bankruptcy prediction snapshot (YYYY-MM-DD).
  • probability_light: Bankruptcy probability predicted by the LightGBM model.
  • probability_convolution: Bankruptcy probability predicted by the convolutional model.
  • probability_rocket: Bankruptcy probability predicted by the ROCKET time-series model.
  • probability_encoder: Bankruptcy probability predicted by the encoder-only transformer model.
  • probability_fundamental: Bankruptcy probability predicted by the fundamentals-driven model.
  • probability: Ensemble bankruptcy probability averaged across contributing models.
  • sans_market: Market-neutral bankruptcy probability adjustment supplied by SOV.AI.
  • volatility: Monthly equity volatility metric produced by SOV.AI.
  • multiplier: Scaling coefficient associated with the probability ensemble.
  • version: Upstream SOV.AI model bundle version number.

Data Splits

The data is provided as a single train split.

Dataset Maintenance

The dataset is updated monthly by Papers With Backtest.

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