gdax-agent | start watching some prices

by grrttedwards Python Version: Current License: No License

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kandi X-RAY | gdax-agent Summary

gdax-agent is a Python library. gdax-agent has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

I'm learning about the world of crypto, and figured why not start watching some prices? This runs on my otherwise idle raspberry pi that hosts my WeatherClock. The script pushes a report to me via Pushbullet once every [insert frequency I've yet to determine here] that says the most recent trade, the best bid/ask price, and the value of the trade from the last [update frequency].

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Support

gdax-agent has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

gdax-agent has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of gdax-agent is current.

Quality

gdax-agent has no bugs reported.

Security

gdax-agent has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

gdax-agent 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

gdax-agent 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.

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gdax-agent Key Features

No Key Features are available at this moment for gdax-agent.

gdax-agent Examples and Code Snippets

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Community Discussions

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

Vulnerabilities

No vulnerabilities reported

Install gdax-agent

You can download it from GitHub.
You can use gdax-agent 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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