japonicus | Genetic Algorithm for Gekko Trading Bot | Bot library

by Gab0 Python Version: Current License: MIT

X-Ray Key Features Code Snippets(1)Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | japonicus Summary

japonicus is a Python library typically used in Automation, Bot applications. japonicus has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

This is an implementation of genetic algorithm & bayesian evolution to develop strategies for digital coin trading bot Gekko. So you make a good strat, or get one from the internetz. Make sure its good, because this is not about miracles. If you get good profit on strat standard settings or some random settings you made up, japonicus can find some setting set that improves the strategy, on some specific market/currency or overall.

Support

Quality

Security

License

Reuse

Support

japonicus has a low active ecosystem.

It has 280 star(s) with 106 fork(s). There are 55 watchers for this library.

It had no major release in the last 6 months.

There are 43 open issues and 126 have been closed. On average issues are closed in 8 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of japonicus is current.

Quality

japonicus has 0 bugs and 0 code smells.

Security

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

japonicus code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

japonicus 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

japonicus 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.

japonicus saves you 1587 person hours of effort in developing the same functionality from scratch.

It has 3529 lines of code, 210 functions and 65 files.

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

Top functions reviewed by kandi - BETA

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

Evaluate generations
Show the primary information
Returns the text of a candlestick dataset
Return the message as a text message
Execute the population
Migration migration
Calculates the distance between two points
Explode locales
Check for running gekko run
Parse the assets
Return a random date range
Create a global toolbox
Build settings from options
This function returns a list of available candidates
Generate command line arguments
Evaluate Gekko
Return a message containing a backtest result
Perform crossover on two individuals
Parse the asset list
Constructs the phenotypes from stratification
Evaluate the model
Return a list of candidate candlestick data
Build the dashboard
Evaluate a given locale
Generate JSON for assets
Validate Gekko instance
Show test results

Get all kandi verified functions for this library.

japonicus Key Features

No Key Features are available at this moment for japonicus.

japonicus Examples and Code Snippets

Get memory info for a device .

python

Lines of Code : 43

License : Non-SPDX (Apache License 2.0)

Copy

def get_memory_info(device):
  """Get memory info for the chosen device, as a dict.

  This function returns a dict containing information about the device's memory
  usage. For example:

  >>> if tf.config.list_physical_devices('GPU'):
  ..

Community Discussions

Trending Discussions on japonicus

grep: combine negative match with After (search for protein sequences that do not contain the word fragment)

Reorganizing dataset for List Length Analysis in R

QUESTION

grep: combine negative match with After (search for protein sequences that do not contain the word fragment)

Asked 2020-Jun-18 at 11:49

I have a fasta sequence and I want to filter all those out that have the word Fragment in the header.

I thought I could use grep with -A 1 (because the protein sequence is always on one line) with -i (in case fragment is not written capitalized) and use that with -v, but somehow inversing the result does not work as expected.

...

ANSWER

Answered 2020-Jun-18 at 11:49

The issue is that -v cannot be used with context switches. If you have GNU grep with PCRE, then you can use a complicated regex:

Source https://stackoverflow.com/questions/62448854

QUESTION

Reorganizing dataset for List Length Analysis in R

Asked 2020-Mar-18 at 18:48

I have a dataset with oppurtunistic species-observations per square kilometer per year (ranging from 1900 to 2019).

There are 139 different sites (square kilomters) in my dataset. I want to make a dataset where for each species for every year for every site, its presence or absence is stated with 1 or 0.

I think this is the appropriate format for including the length of the species-list per year per site in a GLM, to try and account for repeated visits to sites within years (See Szabo et al. 2010 sci-hub.tw/10.1890/09-0877.1 for application of this method).

Data now looks like:

...

ANSWER

Answered 2020-Mar-18 at 18:48

May be, we can do a complete and create the binary

Source https://stackoverflow.com/questions/60745470

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

Vulnerabilities

No vulnerabilities reported

Install japonicus

You can download it from GitHub.
You can use japonicus 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

You all users of japonicus should report notable runs under an issue. If some strat seems to be viable, send feedback so users can have a better point of entry for their own runs.

Find more information at: