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Stocks Quarterly WikipediaViews
Quarterly Wikipedia page view volumes for US-listed companies.
8,360,636 rows over 2,193 symbols, 11 columns, covering 2015-07-31 to 2026-01-07. The most recent observation is 2026-01-07.
Why It Matters
This dataset brings attention-based signals into equity models by:
- Attention signals: Spikes in page views can precede volatility, news coverage, or retail trading activity.
- Event detection: Quarterly aggregation smooths noise while highlighting sustained interest trends.
- Alternative data overlay: Combine with price/volume to craft attention-adjusted signals and risk alerts.
Load It
Installation/Upgrade:
pip install --upgrade pwb-toolbox
Load the Dataset:
from pwb_toolbox import datasets as pwb_ds
df = pwb_ds.load_dataset("Stocks-Quarterly-WikipediaViews", symbols=["AAPL"])
print(df.iloc[0, :])
Example Output:
symbol AAPL
datetime 2015-07-31 00:00:00
views 9935.0
relative_views 0.999732
alpha_short 0.663812
beta_short 0.675321
alpha_long 0.554069
beta_long 0.638651
long_short_alpha 0.474706
long_short_beta 0.49371
search_pressure 0.541194
Columns
| Column Name | Description |
|---|---|
| symbol | Stock ticker. |
| datetime | Quarter-end timestamp. |
| views | Total Wikipedia page views during the quarter. |
| relative_views | Page views scaled relative to the broader universe. |
| alpha_short | Short-term alpha estimate derived from view trends. |
| beta_short | Short-term beta estimate derived from view trends. |
| alpha_long | Long-term alpha estimate derived from view trends. |
| beta_long | Long-term beta estimate derived from view trends. |
| long_short_alpha | Combined long/short alpha estimate. |
| long_short_beta | Combined long/short beta estimate. |
| search_pressure | Normalized search pressure signal. |
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. The same subscription covers the other datasets in this organisation.
Elsewhere
- Dataset page and coverage charts
- The strategy catalogue, 3,806 papers and 4,837 replicated strategies
pwb-toolbox, the loader used in the snippet aboveawesome-systematic-trading, the replicated strategies with their measured Sharpe- Every dataset in this organisation
Papers With Backtest publishes 32 datasets on the Hub and codes the papers that use them. Every strategy in the catalogue is run over its own full history before it is published, which is where the numbers above come from.
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