iqfeed | IQFeed/DTN Downloader | CSV Processing library

 by   tibkiss Python Version: 0.4.3 License: Apache-2.0

kandi X-RAY | iqfeed Summary

kandi X-RAY | iqfeed Summary

iqfeed is a Python library typically used in Utilities, CSV Processing applications. iqfeed has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install iqfeed' or download it from GitHub, PyPI.

This project provides command line tool and Python library to access DTN / IQFeed's historical data for equities. The provided command line tool ('iqfeed') is capable downloading 1 minute historical data from IQFeed client and store it in '.csv.gz' format.
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              iqfeed has a low active ecosystem.
              It has 25 star(s) with 12 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 0 open issues and 1 have been closed. On average issues are closed in 27 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of iqfeed is 0.4.3

            kandi-Quality Quality

              iqfeed has 0 bugs and 5 code smells.

            kandi-Security Security

              iqfeed has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              iqfeed code analysis shows 0 unresolved vulnerabilities.
              There are 1 security hotspots that need review.

            kandi-License License

              iqfeed is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              iqfeed releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              iqfeed saves you 66 person hours of effort in developing the same functionality from scratch.
              It has 172 lines of code, 9 functions and 5 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed iqfeed and discovered the below as its top functions. This is intended to give you an instant insight into iqfeed implemented functionality, and help decide if they suit your requirements.
            • Get bars from IQFeed .
            • Main entry point .
            • Helper function to download historical data for a given instrument .
            • Retry decorator .
            • Write bars to a csv file .
            • Returns a list of instrument names .
            • Create a datetime object from a string .
            Get all kandi verified functions for this library.

            iqfeed Key Features

            No Key Features are available at this moment for iqfeed.

            iqfeed Examples and Code Snippets

            IQFeed/DTN Downloader,Usage from command line
            Pythondot img1Lines of Code : 21dot img1License : Permissive (Apache-2.0)
            copy iconCopy
            iqfeed: Data downloader for Iqfeed/DTN
                 Tibor Kiss  - Copyright (c) 2012-2016 All rights reserved
            
            Usage:
              iqfeed process-file    [-d DIR] [-i CON] [-t TZ] [-D]
              iqfeed download    [-d DIR] [-i CON] [-t TZ] [-D]
              iqfeed -h | --help
            
            Commands:
              
            IQFeed/DTN Downloader,Usage from Python
            Pythondot img2Lines of Code : 13dot img2License : Permissive (Apache-2.0)
            copy iconCopy
            import pytz
            from iqfeed import get_bars
            
            instrument = 'GLD'
            start_date = '20150101'
            end_date = '20151231'
            tz = pytz.timezone('US/Eastern')
            seconds_per_bar = 60  # For 1M data
            iqfeed_host = 'localhost'
            iqfeed_port = 9100
            
            bars = get_bars(instrument, s  

            Community Discussions

            QUESTION

            TypeError when concatenating bytes
            Asked 2018-Dec-29 at 09:17

            I'm having problems with a bytes encoding problem and hoping for help please as stuck (python beginner, trying to adapt some code from github to python3). I 'think' the issue is that I need to encode the 'data' variable to bytes, however I'm struggling to do so as .encode() isn't working. The error returned is:

            ...

            ANSWER

            Answered 2018-Dec-29 at 09:17

            You are confusing strings and raw bytes. Your buffer is a string, while socket input is normally bytes.

            Best approach is simply convert received bytes into string.

            Try this code:

            Source https://stackoverflow.com/questions/53968217

            QUESTION

            Python str error
            Asked 2018-Mar-21 at 19:59

            I am using the following script : python script

            ...

            ANSWER

            Answered 2018-Mar-21 at 19:57

            That script requires Python 3.5 and above, but you are using Python 3.4. See typing for more information.

            You can upgrade to the latest version of Python or simply remove : str and : np.array from the code.

            Source https://stackoverflow.com/questions/49415304

            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

            QUESTION

            python error: cannot import name historicData from iqfeed
            Asked 2017-Oct-30 at 12:44

            I write the code as listed in the readme.md of the iqfeed project

            But get: ImportError: cannot import name historicData,
            when I do from iqfeed import historicData

            I have pip installed the iqfeed. (when in the myproject directory, but if I do pip install in the src or src/iqfeeder directories I get up to date messages so that's OK).

            Python finds the iqfeed. (If I write iqFeed instead it says ImportError: No module named iqFeed

            I'm running it from a unittest in ipython console in spyder.

            my pythonpath is: - c:\python27\lib\packages - c:\dev\myproject - c:\dev\myproject\src\tests

            • my class IqfeedImporter using iqfeed is in c:\dev\myproject\src\myfeeds\IqfeedImporter.py
            • my class IqfeedImporterTests with test_importfeed() is in c:\dev\myproject\src\tests\IqfeedImporterTests.py
            ...

            ANSWER

            Answered 2017-Oct-30 at 12:44

            It's not the same project.

            When you pip install iqfeed you get this package, not the one you linked.

            https://github.com/tibkiss/iqfeed

            If you want to use https://github.com/luketighe/IQFeed , just download it. It's just a single file called iqfeed.py.

            Source https://stackoverflow.com/questions/47015061

            QUESTION

            How can I handle reading a .json file in it that has comments with python?
            Asked 2017-Sep-20 at 09:10

            Firstly, I understand that comments aren't valid json. That said, for some reason this .json file I have to process has comments at the start of lines and at the end of lines.

            How can i handle this in python and basically load the .json file but ignore the comments so that I can process it? I am currently doing the following:

            ...

            ANSWER

            Answered 2017-Sep-20 at 09:09

            kind of a hack (because if there are // within the json data then it will fail) but simple enough for most cases:

            Source https://stackoverflow.com/questions/46317639

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

            Vulnerabilities

            No vulnerabilities reported

            Install iqfeed

            You can install using 'pip install iqfeed' or download it from GitHub, PyPI.
            You can use iqfeed 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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            Install
          • PyPI

            pip install iqfeed

          • CLONE
          • HTTPS

            https://github.com/tibkiss/iqfeed.git

          • CLI

            gh repo clone tibkiss/iqfeed

          • sshUrl

            git@github.com:tibkiss/iqfeed.git

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