tda-api | TD Ameritrade API client for Python | Cryptocurrency library

 by   alexgolec Python Version: 1.6.0 License: MIT

kandi X-RAY | tda-api Summary

kandi X-RAY | tda-api Summary

tda-api is a Python library typically used in Blockchain, Cryptocurrency, Pandas applications. tda-api has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install tda-api' or download it from GitHub, PyPI.

A TD Ameritrade API client for Python. Includes historical data for equities and ETFs, options chains, streaming order book data, complex order construction, and more.
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              tda-api has a medium active ecosystem.
              It has 1148 star(s) with 315 fork(s). There are 70 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 23 open issues and 151 have been closed. On average issues are closed in 59 days. There are 12 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of tda-api is 1.6.0

            kandi-Quality Quality

              tda-api has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              tda-api is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              tda-api releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              It has 12928 lines of code, 917 functions and 48 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed tda-api and discovered the below as its top functions. This is intended to give you an instant insight into tda-api implemented functionality, and help decide if they suit your requirements.
            • Create a new OAuth2 API client
            • Fetch and register a new token
            • Creates a token write function
            • Returns the metadata for the given token
            • Find the earliest data for a given period
            • Assert that value is of given types
            • Get price history
            • Converts a datetime to an integer
            • Load a client from a token file
            • Construct a repeat order
            • Generate code for a given builder
            • Get orders by path
            • Returns a list of orders by query
            • Returns a list of instruments that match the given criteria
            • Returns a single quote
            • Place an order
            • HTTP POST request
            • Make a PATCH request
            • Make a GET request
            • Make a PUT request
            • Issue a PATCH request
            • Make a GET request
            • Perform a POST request
            • Issue DELETE request
            • Enable bug report logging
            • Send DELETE request
            Get all kandi verified functions for this library.

            tda-api Key Features

            No Key Features are available at this moment for tda-api.

            tda-api Examples and Code Snippets

            Combine multiple dataframes returned from TDA-API python library
            Pythondot img1Lines of Code : 30dot img1License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            def get_chains(symbol):
                r = c.get_option_chain(symbol)
                data = json.loads(r.text)
            
                ret = []
                for date in data["callExpDateMap"]:
                    for strike in data["callExpDateMap"][date]:
                        ret.extend(data["callExpDateMap"
            Adding loop for multiple tickers in TDA-API python script
            Pythondot img2Lines of Code : 24dot img2License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            def get_chains(symbol):
                r = c.get_option_chain(symbol)
                data = json.loads(r.text)
            
                ret = []
                for date in data["callExpDateMap"]:
                    for strike in data["callExpDateMap"][date]:
                        ret.extend(data["callExpDateMap"
            Difficulties documenting enum classes?
            Pythondot img3Lines of Code : 2dot img3License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            .. autoclass:: tda.streaming::StreamClient.QOSLevel
            

            Community Discussions

            Trending Discussions on tda-api

            QUESTION

            Difficulties documenting enum classes?
            Asked 2020-May-29 at 06:41

            I'm trying to document a module I'm maintaining, and I'm finding it very difficult to get my enum classes documented properly. For instance, here's one that I'd like to document properly (source):

            ...

            ANSWER

            Answered 2020-May-29 at 03:27

            The problem is that the QOSLevel class is nested inside the StreamClient class. The following works (note the colons):

            Source https://stackoverflow.com/questions/62066645

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

            Vulnerabilities

            No vulnerabilities reported

            Install tda-api

            You can install using 'pip install tda-api' or download it from GitHub, PyPI.
            You can use tda-api 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 tda-api

          • CLONE
          • HTTPS

            https://github.com/alexgolec/tda-api.git

          • CLI

            gh repo clone alexgolec/tda-api

          • sshUrl

            git@github.com:alexgolec/tda-api.git

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