FundamentalAnalysis | fledged Fundamental Analysis package | Business library

by JerBouma Python Version: 0.3.0 License: MIT

X-Ray Key Features Code Snippets(1)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | FundamentalAnalysis Summary

FundamentalAnalysis is a Python library typically used in Web Site, Business applications. FundamentalAnalysis has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install FundamentalAnalysis' or download it from GitHub, PyPI.

Fully-fledged Fundamental Analysis package capable of collecting 20 years of Company Profiles, Financial Statements, Ratios and Stock Data of 20.000+ companies.

Support

Quality

Security

License

Reuse

Support

FundamentalAnalysis has a medium active ecosystem.

It has 1341 star(s) with 201 fork(s). There are 56 watchers for this library.

It had no major release in the last 12 months.

There are 3 open issues and 22 have been closed. On average issues are closed in 20 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of FundamentalAnalysis is 0.3.0

Quality

FundamentalAnalysis has 0 bugs and 10 code smells.

Security

FundamentalAnalysis has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

FundamentalAnalysis code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

FundamentalAnalysis is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

FundamentalAnalysis releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

FundamentalAnalysis saves you 113 person hours of effort in developing the same functionality from scratch.

It has 287 lines of code, 15 functions and 6 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed FundamentalAnalysis and discovered the below as its top functions. This is intended to give you an instant insight into FundamentalAnalysis implemented functionality, and help decide if they suit your requirements.

Get stock data .
Returns discounted cash flow .
Returns historical prices for a given ticker .
Get key metrics for a given ticker .
Get financial ratio .
Fetch cash flow statement .
Fetch balance sheet statement .
Get income statement .
Return stock data as a pandas DataFrame .
Get financial statement growth for financial statement

Get all kandi verified functions for this library.

FundamentalAnalysis Key Features

No Key Features are available at this moment for FundamentalAnalysis.

FundamentalAnalysis Examples and Code Snippets

Downloading key ratios for various Tickers with python library FundamenalAnalysis

Python

Lines of Code : 48

License : Strong Copyleft (CC BY-SA 4.0)

Copy

symbols = df['Ticker'].to_list()

ratios = dict()

for s in symbols:
    ratios[s] = fa.ratios(s)

print(ratios)

import FundamentalAnalysis as fa
import pandas as pd
import io

text='''Ticke

Community Discussions

Trending Discussions on FundamentalAnalysis

Downloading key ratios for various Tickers with python library FundamenalAnalysis

QUESTION

Downloading key ratios for various Tickers with python library FundamenalAnalysis

Asked 2020-Jan-03 at 00:21

I try to download key financial ratios from yahoo finance via the FundamentalAnalysis library. It's pretty easy for single I have a df with tickers and names:

...

ANSWER

Answered 2020-Jan-03 at 00:21

You can get symbols using

Source https://stackoverflow.com/questions/59557131

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install FundamentalAnalysis

To be able to use this package you need an API Key from FinancialModellingPrep. Follow the following instructions to obtain a free API Key. Note that these keys are limited to 250 requests per account. There is no time limit. When you run out of daily requests (250), you have to upgrade to a Premium version. Note that I am in no way affiliated with FinancialModellingPrep and never will be.
pip install FundamentalAnalysis Alternatively, download this repository.
(within Python) import FundamentalAnalysis as fa
Go to FinancialModellingPrep's API
Under "Get your Free API Key Today!" click on "Get my API KEY here"
Sign-up to the website and select the Free Plan
Obtain the API Key as found here
Start using this package.