pytrader | cryptocurrency trading robot | Cryptocurrency library

by owocki Python Version: Current License: MIT

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

kandi X-RAY | pytrader Summary

pytrader is a Python library typically used in Blockchain, Cryptocurrency, Bitcoin, Nodejs applications. pytrader has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can download it from GitHub.

cryptocurrency trading robot

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Quality

Security

License

Reuse

Support

pytrader has a medium active ecosystem.

It has 1863 star(s) with 439 fork(s). There are 157 watchers for this library.

It had no major release in the last 6 months.

There are 90 open issues and 36 have been closed. On average issues are closed in 3 days. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of pytrader is current.

Quality

pytrader has 0 bugs and 0 code smells.

Security

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

pytrader code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pytrader 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

pytrader 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.

pytrader saves you 1640 person hours of effort in developing the same functionality from scratch.

It has 3640 lines of code, 110 functions and 54 files.

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

Top functions reviewed by kandi - BETA

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

Runs a prediction test
Predict price for given sample
Determine whether the given price should be traded
Predict V2
Get trade recommendations
Return the fee amount for a given volume
Sends an email message
Make a request to the API
View for a single prediction
Get prediction results
Get a pivotChart object for a given parameter
Return a scatter chart
View profit view
Calculate the cost basis for a given price
Convert a dictionary into a string
Runs a classifier test
Generate a graph plot
Predict price for the given sample
Wrapper around Moving Average
Calculate a moving average
Optimized view of trades
View of a classifier
Runs the prediction test

Get all kandi verified functions for this library.

pytrader Key Features

No Key Features are available at this moment for pytrader.

pytrader Examples and Code Snippets

No Code Snippets are available at this moment for pytrader.

Community Discussions

Trending Discussions on pytrader

Linear Regression (sklearn) fitting data shape error

QUESTION

Linear Regression (sklearn) fitting data shape error

Asked 2018-Jun-08 at 21:56

I have a question about sklearn's linear regression model..

I want to fit a Linear Regression using multiple features. Right now my X is a np.matrix and my Y is a np.array.

My X looks like this (printed) X.shape -> (21, 3):

...

ANSWER

Answered 2018-Jun-08 at 21:55

Looking at the traceback, the problem seems to occur when you call the predict method:

Source https://stackoverflow.com/questions/50768511

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

Vulnerabilities

No vulnerabilities reported

Install pytrader

Install docker at least version 1.10.3, and install docker-compose at least version 1.6.2.
initalize your environment:
Add your POLONIEX_API_KEY and POLONIEX_API_SECRET to docker/env (its gitignored, dont worry)
Set your PYTRADER_LOGIN and PYTRADER_PASSWORD to docker/env. This will set the login you use to access the site.
Build Docker image (compiling stuff for scipy and numpy takes time): docker-compose build or pull the images from Docker Hub: docker-compose pull
Run the containers: docker-compose up
Seed your db with newest dump from http://repo.snipanet.com:
visit http://localhost:8000/admin and log in with your PYTRADER_{LOGIN,PASSWORD} credentials.

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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