QuantStudy | Quantitative strategy code

by geeeeeeeek Python Version: Current License: No License

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

kandi X-RAY | QuantStudy Summary

QuantStudy is a Python library. QuantStudy has no bugs, it has no vulnerabilities and it has low support. However QuantStudy build file is not available. You can download it from GitHub.

Quantitative strategy code

Support

Quality

Security

License

Reuse

Support

QuantStudy has a low active ecosystem.

It has 133 star(s) with 82 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

QuantStudy has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of QuantStudy is current.

Quality

QuantStudy has 0 bugs and 0 code smells.

Security

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

QuantStudy code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

QuantStudy 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

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

QuantStudy has no build file. You will be need to create the build yourself to build the component from source.

QuantStudy saves you 775 person hours of effort in developing the same functionality from scratch.

It has 1783 lines of code, 62 functions and 30 files.

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

Top functions reviewed by kandi - BETA

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

Rebalance
Evaluate price
Add or stop price
Calculate the average atr
Given a cash asset and a net asset ratio and a target net asset ratio
Calculate unit unit
Train the SVM
Get the price for a given end date
Analyze the performance

Get all kandi verified functions for this library.

QuantStudy Key Features

No Key Features are available at this moment for QuantStudy.

QuantStudy Examples and Code Snippets

No Code Snippets are available at this moment for QuantStudy.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install QuantStudy

You can download it from GitHub.
You can use QuantStudy 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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