zipline_cn_databundle | zipline bundle for chinese exchanges

by rainx Python Version: Current License: No License

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

kandi X-RAY | zipline_cn_databundle Summary

zipline_cn_databundle is a Python library. zipline_cn_databundle has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Equtity Data bundle of chinese exchange market for Zipline.

Support

Quality

Security

License

Reuse

Support

zipline_cn_databundle has a low active ecosystem.

It has 56 star(s) with 44 fork(s). There are 17 watchers for this library.

It had no major release in the last 6 months.

There are 5 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of zipline_cn_databundle is current.

Quality

zipline_cn_databundle has 0 bugs and 0 code smells.

Security

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

zipline_cn_databundle code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

zipline_cn_databundle does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

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

Installation instructions are not available. Examples and code snippets are available.

zipline_cn_databundle saves you 657 person hours of effort in developing the same functionality from scratch.

It has 1524 lines of code, 41 functions and 12 files.

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

Top functions reviewed by kandi - BETA

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

Load market data
Checks if the benchmark data is available
Return the path to the data file
Return a pandas dataframe
Squant bundler bundle
Load the splits and dividends from the file
Get historical data
Convert a pandas dataframe to price
Return a pandas dataframe containing market data
Get basic info
Loads the splits and dividends from the cqc file
Get all stocks
Returns the cache directory
Generate example data
Write tushare
Register a CN bundle from Yahoo!
Get all available symbols
Get all stock stocks
Return full code
Returns a pandas dataframe containing market data
Convert a symbol series to exchange
Convert a symbol to exchange name

Get all kandi verified functions for this library.

zipline_cn_databundle Key Features

No Key Features are available at this moment for zipline_cn_databundle.

zipline_cn_databundle Examples and Code Snippets

No Code Snippets are available at this moment for zipline_cn_databundle.

Community Discussions

No Community Discussions are available at this moment for zipline_cn_databundle.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install zipline_cn_databundle

You can download it from GitHub.
You can use zipline_cn_databundle 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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