Access prepackaged stock-level financial data (JSON) via a simple Python API.
Project description
predictrampyfinance
predictrampyfinance is a Python package that provides offline access to structured financial data (JSON) for Indian companies. You can easily retrieve quarterly and yearly financial statements for each company by its symbol — with no API calls, tokens, or downloads.
Features
- Browse and search symbols with labels
- Access financials by:
- Income Statement (Quarterly)
- Balance Sheet (Yearly)
- Cash Flow (Yearly)
- Filter by date or frequency
- Extract custom date ranges
- Everything runs offline
##Installation
pip install predictrampyfinance
pip install predictrampyfinance==0.1.7
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file predictrampyfinance-0.1.8.tar.gz.
File metadata
- Download URL: predictrampyfinance-0.1.8.tar.gz
- Upload date:
- Size: 5.9 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
45fce26976e412a3fe9e4c49642e6626e6d85e20e6b066331d88dea544f04b8b
|
|
| MD5 |
745f68fcce6727a8e375c769efdbf2ad
|
|
| BLAKE2b-256 |
f983359fe337c6dbc899d508f3c1ca36e1ae979d75059607e237cbd4335e6bc6
|
File details
Details for the file predictrampyfinance-0.1.8-py3-none-any.whl.
File metadata
- Download URL: predictrampyfinance-0.1.8-py3-none-any.whl
- Upload date:
- Size: 6.8 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3559c27f994d61afea8445b863fa322402fed434abdbcb0a1527ad237e89baf2
|
|
| MD5 |
f060b122400b6b876a26cbd5b9d0e1e9
|
|
| BLAKE2b-256 |
05408f4d39008fca0c34aa6ee795b164cdf67e0f5187df25c1434931879eed45
|