73 lines
2.5 KiB
Markdown
73 lines
2.5 KiB
Markdown
<p align="center">
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<a href="#"><img src="docs/docs/img/logo.png"></a>
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</p>
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<p align="center">
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<em>Python interface to the FDIC's API for publically available bank data</em>
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</p>
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<p align="center">
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<a href="https://travis-ci.com/dpguthrie/bankfind" target="_blank">
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<img src="https://travis-ci.com/dpguthrie/bankfind.svg?branch=master" alt="Build Status">
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</a>
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<a href="https://codecov.io/gh/dpguthrie/bankfind" target="_blank">
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<img src="https://img.shields.io/codecov/c/github/dpguthrie/bankfind" alt="Coverage">
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</a>
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<a href="https://pypi.org/project/bankfind" target="_blank">
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<img src="https://badge.fury.io/py/bankfind.svg" alt="Package version">
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</a>
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</p>
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---
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**Documentation**: <a target="_blank" href="https://bankfind.dpguthrie.com">https://bankfind.dpguthrie.com</a>
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**Source Code**: <a target="_blank" href="https://github.com/dpguthrie/bankfind">https://github.com/dpguthrie/bankfind</a>
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**FDIC Documentation**: <a target="_blank" href="https://banks.data.fdic.gov/docs/">https://banks.data.fdic.gov/docs/</a>
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---
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## Overview
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**bankfind** is a python interface to publically available bank data from the FDIC.
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There are currently, as of 4/15/2023, five endpoints that the FDIC has exposed to the public:
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- **failures** - returns detail on failed financial institutions
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- **institutions** - returns a list of financial institutions
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- **history** - returns detail on structure change events
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- **locations** - returns locations / branches of financial institutions
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- **summary** - returns aggregate financial and structure data, subtotaled by year, regarding financial institutions
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- **financial** - returns financial information for financial institutions
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## Requirements
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Python 2.7, 3.5+
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- [Requests](https://requests.readthedocs.io/en/master/) - The elegant and simple HTTP library for Python, built for human beings.
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- [Pandas](https://pandas.pydata.org/) - Fast, powerful, flexible and easy to use open source data analysis and manipulation tool
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## Installation
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```python
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pip install bankfind
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```
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## Example
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```python
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import bankfind as bf
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# Get Institutions
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data = bf.get_institutions()
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# Get Institutions from Colorado with high ROE
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data = bf.get_institutions(filters="STNAME:Colorado AND ROE:[25 TO *]")
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# Get Commercial Banks from Colorado that aren't S-Corps
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data = bf.get_institutions(filters="STNAME:Colorado AND SUBCHAPS:0 AND CB:1")
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```
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## License
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This project is licensed under the terms of the MIT license.
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