pyiqfeed | Python LIbrary for reading DTN 's IQFeed | REST library

by akapur Python Version: Current License: GPL-2.0

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

kandi X-RAY | pyiqfeed Summary

pyiqfeed is a Python library typically used in Web Services, REST, Numpy applications. pyiqfeed has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

Reads and parses data from IQFeed (Now supports API version 6.0.

Support

Quality

Security

License

Reuse

Support

pyiqfeed has a low active ecosystem.

It has 155 star(s) with 104 fork(s). There are 22 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 37 have been closed. On average issues are closed in 62 days. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of pyiqfeed is current.

Quality

pyiqfeed has 0 bugs and 0 code smells.

Security

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

pyiqfeed code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pyiqfeed is licensed under the GPL-2.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

pyiqfeed 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.

Top functions reviewed by kandi - BETA

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

Request bars for a given interval
Read bars from the buffer
Get data buffer
Get the next request id
Parse the given fields
Read a datetime from a string
Read a split string
Launches an IQFeed
Check if IqFeed is running
Watch a symbol
Get tickdata for given ticker
Process client stats
Request daily data
Get historical bars
Request monthly data
Get the latest news feed
Process Connection Stats message
Parse the bars
Get reference data
Refresh a symbol
Get all tickups for a given ticker
Process UPDATE fields
Process news messages
Watch the given symbol
Process the received protocol field
Get the equity option chain for a ticker

Get all kandi verified functions for this library.

pyiqfeed Key Features

No Key Features are available at this moment for pyiqfeed.

pyiqfeed Examples and Code Snippets

No Code Snippets are available at this moment for pyiqfeed.

Community Discussions

Trending Discussions on pyiqfeed

How do I load IQFeed data in Julia

QUESTION

How do I load IQFeed data in Julia

Asked 2017-Dec-17 at 02:06

In Julia, how do I load IQFeed data at high speed? We purchased a license for IQFeed

I want to do something like this [import, and cleanup (removing NA's or otherwise treating missing data)] (https://grollchristian.wordpress.com/2014/09/05/sp500-data-download-julia/)

He uses EconDatasets I did not understand which feed it takes from?

Or perhaps I have to modify the bloomberg.jl package?

Or perhaps reading from the IQFeed is something totally different?

I could not find any documentation on how to do this. I'm new to Julia, and to using IQFeed.

I saw a list of 'qunatitative financial computing' packages but none seem to address the import of technical financing data and analysis of that imported data.

I saw pyiqfeed for importing iqfeed in Python that uses sockets.

...

ANSWER

Answered 2017-Dec-17 at 02:06

According to Colin T. Bowers, Julia is still in beta, and there are no packages for it. For this reason we decided not to go on with Julia.

So the short answer is: There is none.

If you still want to go at it yourself, The easiest way to go would be to use one of the two available open source python IQFeed packages, which basically call sockets with a predefined text (utf-8) message and receive a result in a callback.

Turning them into Julia seems to me to be quite easy.

You'll need to run the IQFeed client first with a username/pw you get from them.

Source https://stackoverflow.com/questions/46885263

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

Vulnerabilities

No vulnerabilities reported

Install pyiqfeed

You can download it from GitHub.
You can use pyiqfeed 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 .

Find more information at: