pinkfish | A backtester and spreadsheet library for security analysis | Cryptocurrency library

by fja05680 Python Version: 2.1.2 License: MIT

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

kandi X-RAY | pinkfish Summary

pinkfish is a Python library typically used in Blockchain, Cryptocurrency, Pandas applications. pinkfish has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install pinkfish' or download it from GitHub, PyPI.

A backtester and spreadsheet library for security analysis.

Support

Quality

Security

License

Reuse

Support

pinkfish has a low active ecosystem.

It has 241 star(s) with 55 fork(s). There are 16 watchers for this library.

There were 1 major release(s) in the last 12 months.

There are 0 open issues and 24 have been closed. On average issues are closed in 35 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of pinkfish is 2.1.2

Quality

pinkfish has 0 bugs and 0 code smells.

Security

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

pinkfish code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pinkfish 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

pinkfish releases are available to install and integrate.

Deployable package is available in PyPI.

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

pinkfish saves you 1262 person hours of effort in developing the same functionality from scratch.

It has 2838 lines of code, 270 functions and 26 files.

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

Top functions reviewed by kandi - BETA

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

Return a pandas DataFrame
Calculate the annual return rate
Return the number of trade bars in tlog
Return the difference in between two years
Fetches market data for the given symbol
Add symbol columns to ts
Select tradeperiod
Calculate the adjoints of a pandas
Return a pretty plot of two graphs
Calculate the correlation coefficient
Plot the performance of symbol
Return annualized Sharpe ratio
Annual growth rate
Return a calendar calendar
Get metadata for all symbols
Calculate annualized standard deviation
Updates the cache for the given symbols
Removes csv files
Generate a summary of metrics
Print holdings
Returns a pandas DataFrame of the trade
Adjust price for given price
Plot volatility curves
Return an HTML representation of the DataFrame
Crossover over a series
Run the benchmark

Get all kandi verified functions for this library.

pinkfish Key Features

No Key Features are available at this moment for pinkfish.

pinkfish Examples and Code Snippets

No Code Snippets are available at this moment for pinkfish.

Community Discussions

Trending Discussions on pinkfish

Module not Found: zipline import

QUESTION

Module not Found: zipline import

Asked 2020-Mar-24 at 21:50

Getting the following stack trace from line:

...

ANSWER

Answered 2020-Mar-24 at 21:50

The issue arose due to the presence of multiple versions of python. Using the python -m pip install command inside of the zipline/zipline repo, I was able to successful execute import zipline inside a python shell

Source https://stackoverflow.com/questions/51632287

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

Vulnerabilities

No vulnerabilities reported

Install pinkfish

You can install using 'pip install pinkfish' or download it from GitHub, PyPI.
You can use pinkfish like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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