pytrader | PyTrader - Python-based crypto trading bot | Cryptocurrency library

by caktux 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 applications. pytrader 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.

PyTrader is a Python trading client and auto-trading bot for the crypto-currency exchanges. It is designed to work in the Linux console and has a curses user interface. It can display live streaming market data and you can buy and sell with keyboard commands. PyTrader also has a simple interface to plug in your own automated trading strategies, your own code can be reloaded at runtime, will receive events from the API and can act upon them.

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Quality

Security

License

Reuse

Support

pytrader has a low active ecosystem.

It has 131 star(s) with 41 fork(s). There are 33 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 0 have been closed. On average issues are closed in 1209 days. There are no pull 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.

It has 3888 lines of code, 324 functions and 10 files.

It has high 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.

Called when the client is listening
Subscribe to a channel
Force a reconnect
Log a debug message
This function is used to process http requests
Make http request
Wraps http call
Return True if secret has been set
This function handles the HTTP request
Handle a user order
Called when an operation is received
Deal with a slot
Get the orderbook
Get all recent candles
Prompt user for encryption
Handle an OP_trade message
Receive a message from a slot
Prompt user for decrypt
Send a new order
Called when the slot is received
Handle a slot trade
Called when an operation is received
Send an order
Callback for private messages
Invoked when the client is connected
Slot ticker

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

Open a terminal in an empty folder or in the folder you usually use to clone repositories and clone the master branch:. This will create a folder named pytrader containing all the needed files. Thats all, now it is installed and ready to use. You can now already watch live market data (without any trading functions being enabled), you can later add an API-key to it to have full access to your account but for now just proceed to the next step, start it without an account, just to make sure everything works.