support_resistance | Small package that helps to find support | Business library

by day0market Python Version: Current License: No License

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

kandi X-RAY | support_resistance Summary

support_resistance is a Python library typically used in Web Site, Business applications. support_resistance has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Small package that helps to find support and resistance levels and plot them on chart

Support

Quality

Security

License

Reuse

Support

support_resistance has a low active ecosystem.

It has 289 star(s) with 101 fork(s). There are 11 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 1 have been closed. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of support_resistance is current.

Quality

support_resistance has 0 bugs and 0 code smells.

Security

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

support_resistance code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

support_resistance 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

support_resistance 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, examples and code snippets are available.

It has 443 lines of code, 46 functions and 21 files.

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

Top functions reviewed by kandi - BETA

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

Calculates the score for the given levels
Tells if the price is below the price
Calculates the level score for each candle
Check if the given price is in a down trend
Return True if we are in up - to - trend
Returns a list of the high low low low low values from OHLC
Checks if the given price matches the given price
Checks if the given point is between the given point
Checks if the given price is cut
Aggregate price prices to levels
Cluster prices to given levels
Plot levels on a candlestick
Plot levels of levels
Estimate the potential risk prices
Calculate distance
Plot levels with pivots
Aggregate prices to levels

Get all kandi verified functions for this library.

support_resistance Key Features

No Key Features are available at this moment for support_resistance.

support_resistance Examples and Code Snippets

No Code Snippets are available at this moment for support_resistance.

Community Discussions

Trending Discussions on support_resistance

Change support and resistance line color in mplfinance

QUESTION

Change support and resistance line color in mplfinance

Asked 2021-May-16 at 10:01

mplfinance.plot(df,  
                type = 'candlestick', 
                style = 'binance',
                hlines=dict(hlines= support_resistance,linestyle='-', linewidths = (1,1)),
                volume = True)

...

ANSWER

Answered 2021-May-04 at 22:23

hlines=dict(hlines= support_resistance,linestyle='-',linewidths = (1,1),colors=('b','r')

Source https://stackoverflow.com/questions/67382939

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

Vulnerabilities

No vulnerabilities reported

Install support_resistance

You can download it from GitHub.
You can use support_resistance 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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