bta-lib | Technical Analysis library in pandas | Data Visualization library

by mementum Python Version: 1.0.0 License: MIT

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

kandi X-RAY | bta-lib Summary

bta-lib is a Python library typically used in Analytics, Data Visualization applications. bta-lib 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 bta-lib' or download it from GitHub, PyPI.

Technical Analysis library in pandas for backtesting algotrading and quantitative analysis

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Quality

Security

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bta-lib has a low active ecosystem.

It has 408 star(s) with 99 fork(s). There are 26 watchers for this library.

It had no major release in the last 12 months.

There are 16 open issues and 3 have been closed. On average issues are closed in 0 days. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of bta-lib is 1.0.0

Quality

bta-lib has 0 bugs and 0 code smells.

Security

bta-lib has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

bta-lib code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

bta-lib 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

bta-lib releases are available to install and integrate.

Deployable package is available in PyPI.

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

bta-lib saves you 1591 person hours of effort in developing the same functionality from scratch.

It has 3537 lines of code, 294 functions and 75 files.

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

Top functions reviewed by kandi - BETA

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

Creates a Multivariate MultiFuncation op .
Construct input arguments from arg_data .
periodize ht transform
Creates a new instance from arguments .
This method is used to initialize the sampler
Apply minperiodization .
Create a standard operator for the Series .
Create a new class .
Install a new class .
Initialize from a dataframe .

Get all kandi verified functions for this library.

bta-lib Key Features

No Key Features are available at this moment for bta-lib.

bta-lib Examples and Code Snippets

No Code Snippets are available at this moment for bta-lib.

Community Discussions

Trending Discussions on bta-lib

Install TA-Lib and its corresponding python library in IBM free cloud tier

QUESTION

Install TA-Lib and its corresponding python library in IBM free cloud tier

Asked 2020-Dec-18 at 06:41

I am using free tier given by IBM. I want to install TA-Lib and the corresponding python library. I tried following the below URL.

https://github.com/mrjbq7/ta-lib#linux

It seems the IBM environment do not support .deb files. Also, I cannot find yum,dnf, microdnf etc in the env provided.

I tried compiling it from the source, however, on installing python ta-lib, it cannot find the lib and include directory and hence errored out. I tried all the options but to no avail. Below are the commands used. Please note I am executing this in the Jupyter env provided.

...

ANSWER

Answered 2020-Dec-18 at 06:41

I was able to install TA-Lib on Jupyter Notebook with following:

Source https://stackoverflow.com/questions/65343837

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

Vulnerabilities

No vulnerabilities reported

Install bta-lib

You can install using 'pip install bta-lib' or download it from GitHub, PyPI.
You can use bta-lib 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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