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| pretty_name: Stocks Daily Splits | |
| language: | |
| - en | |
| license: other | |
| task_categories: | |
| - time-series-forecasting | |
| - tabular-regression | |
| tags: | |
| - finance | |
| - quantitative-trading | |
| - backtesting | |
| - algorithmic-trading | |
| - stocks | |
| - equities | |
| - daily | |
| - corporate-actions | |
| size_categories: | |
| - 10K<n<100K | |
| extra_gated_prompt: "This dataset is free to browse and gated for download. Approval is tied to a Papers With Backtest subscription, which also covers the other datasets in this organisation and the strategy catalogue at https://paperswithbacktest.com. Plans and what each one includes: https://paperswithbacktest.com/pricing" | |
| # Stocks Daily Splits | |
| Every stock split and reverse split of a US-listed name, with its ratio and the factor applied to earlier prices. | |
| <!-- MEASURED:START - rewritten by dataset_cards/refresh.py --> | |
| Shape measured at the next refresh of `dataset_cards/facts.json`. Refreshed monthly. | |
| <!-- MEASURED:END --> | |
| ## Why It Matters | |
| `Stocks-Daily-Price` is back-adjusted, so a split leaves no trace in it: the price series shows nothing on the day. That hides the event the split papers study -- the announcement drift, the post-split change in liquidity and in the shareholder base, and the reverse split as a distress signal. This table is the event. A row with `split_from` 1 and `split_to` 4 is a 4-for-1 split; `split_from` 10 and `split_to` 1 is a 1-for-10 reverse split. | |
| ## Load It | |
| ```bash | |
| pip install --upgrade pwb-toolbox | |
| ``` | |
| ```python | |
| from pwb_toolbox import datasets as pwb_ds | |
| df = pwb_ds.load_dataset("Stocks-Daily-Splits", symbols=["AAPL"]) | |
| print(df.iloc[-1, :]) | |
| ``` | |
| ## Columns | |
| | Column Name | Description | | |
| | :--- | :--- | | |
| | **symbol** | Stock ticker. | | |
| | **date** | Execution date: the first session the shares trade on the new basis. | | |
| | **split_from** | Shares held before, per `split_to` shares after. | | |
| | **split_to** | Shares held after, per `split_from` shares before. | | |
| | **adjustment_type** | The vendor's classification of the action (forward, reverse, ...). | | |
| | **historical_adjustment_factor** | Factor to multiply prices before `date` by, to put them on the post-split basis. | | |
| ## Access | |
| Browsing the card and the schema is open to anyone. Downloading the files needs an approved request, tied to a subscription: [what each plan includes](https://paperswithbacktest.com/pricing). The same subscription covers every dataset in this organisation and the strategy catalogue. | |
| ## Elsewhere | |
| - [The strategy catalogue](https://paperswithbacktest.com/strategies) | |
| - [`pwb-toolbox`](https://github.com/paperswithbacktest/pwb-toolbox), the loader used in the snippet above | |
| - [Every dataset in this organisation](https://huggingface.co/datasets/paperswithbacktest) | |