A Python wrapper for fetching financial and economic data
Project description
FinFlux API
finflux is a Python library that aggregates financial and market data from multiple publicly available RESTful JSON APIs. It currently covers equities, bonds, and U.S. economic indicators, offering a consistent and lightweight way to access and work with this data using straightforward code.
finflux utilizes both first-party and third-party APIs connected to the sources listed below.
- Yahoo Finance
- Twelve Data
- Investing.com
- Securities and Exchange Commission (SEC)
- Organization for Economic Co-operation and Development (OECD)
- Board of Governors of the Federal Reserve System
- U.S. Department of the Treasury
- Bureau of Economic Analysis (BEA)
- Bureau of Labor Statistics (BLS)
- U.S. Census Bureau
- National Association of REALTORS® (NAR)
- Freddie Mac
- University of Michigan
- U.S. Employment and Training Administration
Check out our readthedocs for information on installation, set up, and detailed API documentation.
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 finflux-0.5.0.tar.gz.
File metadata
- Download URL: finflux-0.5.0.tar.gz
- Upload date:
- Size: 39.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
68fc0fc17f62a6460be2015fbc3b5e7c021d70613df53c51284ec404a40e3473
|
|
| MD5 |
44deae298038c93c48562492eb7cbc35
|
|
| BLAKE2b-256 |
e86425a20a4fd7ff306e1bf81bbf4936ce4e4f6b4a13d5829cb0eb668a8fc5f2
|
File details
Details for the file finflux-0.5.0-py3-none-any.whl.
File metadata
- Download URL: finflux-0.5.0-py3-none-any.whl
- Upload date:
- Size: 41.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
14bb3ee6dd97d12e84f347b8824dcac80647017b512caae82c3b906c5b3c4065
|
|
| MD5 |
5948a5c6eaec4862f476c027df29614c
|
|
| BLAKE2b-256 |
39994ec50fad572cfa5aedd24954effa3aee2ff22e327e2a4463302ff97bc47d
|
