ArticleAlpha Python Client
The official Python wrapper for the ArticleAlpha API.
ArticleAlpha tracks investor curiosity by monitoring Wikipedia pageview trends for hundreds of stocks. This library allows data scientists and analysts to pull that "Attention Data" directly into Pandas for behavioral finance research.
Installation
pip install articlealpha
Usage
from articlealpha import ArticleAlpha
# Get daily time-series for all stocks
df = ArticleAlpha.get_timeseries()
print(df.head())
# Get deep details for a specific ticker
nvda = ArticleAlpha.get_ticker_details("NVDA")
Data Source & Attribution
This project utilizes data from the Wikimedia Metrics API.
- Source: Wikimedia API
- Trademark Notice: Wikipedia® is a registered trademark of the Wikimedia Foundation, Inc. ArticleAlpha is an independent project and is not affiliated with or endorsed by the Wikimedia Foundation.
Disclaimer
This data is for informational purposes only. ArticleAlpha does not provide investment advice. Wikipedia pageviews represent public interest and curiosity, which may or may not correlate with market performance.
License
MIT
Metadata
Release files for articlealpha 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| articlealpha-0.1.1.tar.gz | 3.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| articlealpha-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.3 kB
Release files / articlealpha-0.1.1.tar.gz
| Download URL | articlealpha-0.1.1.tar.gz |
|---|---|
| Size | 3.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.10.12
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Release files / articlealpha-0.1.1-py3-none-any.whl
| Download URL | articlealpha-0.1.1-py3-none-any.whl |
|---|---|
| Size | 3.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.10.12
|