heikin-ashi | Heikin-Ashi candlesticks for pandas dataframe | Data Manipulation library

by emreturan Python Version: Current License: Apache-2.0

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

kandi X-RAY | heikin-ashi Summary

heikin-ashi is a Python library typically used in Utilities, Data Manipulation, Pandas applications. heikin-ashi has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However heikin-ashi build file is not available. You can download it from GitHub.

Heikin-Ashi candlesticks for pandas dataframe.

Support

Quality

Security

License

Reuse

Support

heikin-ashi has a low active ecosystem.

It has 30 star(s) with 9 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

heikin-ashi has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of heikin-ashi is current.

Quality

heikin-ashi has 0 bugs and 0 code smells.

Security

heikin-ashi has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

heikin-ashi code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

heikin-ashi is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

heikin-ashi releases are not available. You will need to build from source code and install.

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

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

heikin-ashi saves you 4 person hours of effort in developing the same functionality from scratch.

It has 12 lines of code, 1 functions and 1 files.

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

Top functions reviewed by kandi - BETA

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

Compute the heikin - Shannon index .

Get all kandi verified functions for this library.

heikin-ashi Key Features

No Key Features are available at this moment for heikin-ashi.

heikin-ashi Examples and Code Snippets

No Code Snippets are available at this moment for heikin-ashi.

Community Discussions

Trending Discussions on heikin-ashi

Heiken Ashi candles plotted on graph Binance

QUESTION

Heiken Ashi candles plotted on graph Binance

Asked 2022-Feb-24 at 13:59

So I'm trying to plot Heiken Ashi candles, and then I want to plot them on graph.

My code so far:

...

ANSWER

Answered 2022-Feb-24 at 13:59

I will use the 'heikin_ashi' code to answer the example of using mplfinance, a popular finance library, for the graph. There are many other libraries available for visualizing investments, so we will use this as a basic form for data acquisition and visualization. A sample of mplfinance can be found here for reference.

Source https://stackoverflow.com/questions/71251379

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

Vulnerabilities

No vulnerabilities reported

Install heikin-ashi

You can download it from GitHub.
You can use heikin-ashi 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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