Quantrade | Quantitative strategies portfolio index

by TalaikisInc Python Version: Current License: LGPL-3.0

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

kandi X-RAY | Quantrade Summary

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

Quantrade is quantitative strategies portfolio index, generating trade signals from its portfolio.

Support

Quality

Security

License

Reuse

Support

Quantrade has a low active ecosystem.

It has 14 star(s) with 8 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 5 open issues and 20 have been closed. On average issues are closed in 4 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Quantrade is current.

Quality

Quantrade has 0 bugs and 0 code smells.

Security

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

Quantrade code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Quantrade is licensed under the LGPL-3.0 License. This license is Weak Copyleft.

Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

Reuse

Quantrade 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.

It has 8716 lines of code, 361 functions and 108 files.

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

Top functions reviewed by kandi - BETA

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

Determine if an index page is requested
Extract data from pandas dataframe
Get the status of a logged in user
Get the portfolio for the given stats
View of a system page
Get the stats for a given index
Determine the direction
Get a user s avatar
Saves the object to the database
Upload heatmap to twitter
Download files from WEB
Handle a broker page
Generate a data model for processing
Show performance
Checks the data files in the data_files directory
View function
Insert data into system
Post tweets
Publish signals
Create a contact
Displays a full list of system pages
Get a single page of indices
Generate index for all brokers
Download heatmap to Facebook
Creates mc jobs
Generate an auto - portfolio overview page

Get all kandi verified functions for this library.

Quantrade Key Features

No Key Features are available at this moment for Quantrade.

Quantrade Examples and Code Snippets

No Code Snippets are available at this moment for Quantrade.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install Quantrade

You can download it from GitHub.
You can use Quantrade 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 .

Find more information at: