Stock_Strategy | Stock trading strategy using tushare as datasource | Business library

 by   xcycharles Python Version: Current License: No License

kandi X-RAY | Stock_Strategy Summary

kandi X-RAY | Stock_Strategy Summary

Stock_Strategy is a Python library typically used in Retail, Web Site, Business applications. Stock_Strategy has no bugs, it has no vulnerabilities and it has low support. However Stock_Strategy build file is not available. You can download it from GitHub.

Stock trading strategy using tushare as datasource and pyalgotrade as backtesting platform
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              Stock_Strategy has a low active ecosystem.
              It has 9 star(s) with 3 fork(s). There are 3 watchers for this library.
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              It had no major release in the last 6 months.
              Stock_Strategy has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Stock_Strategy is current.

            kandi-Quality Quality

              Stock_Strategy has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              Stock_Strategy does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

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              Stock_Strategy releases are not available. You will need to build from source code and install.
              Stock_Strategy has no build file. You will be need to create the build yourself to build the component from source.

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            Stock_Strategy Key Features

            No Key Features are available at this moment for Stock_Strategy.

            Stock_Strategy Examples and Code Snippets

            No Code Snippets are available at this moment for Stock_Strategy.

            Community Discussions

            Trending Discussions on Stock_Strategy

            QUESTION

            Error When Passing Post Data In Stock Screener
            Asked 2020-Dec-25 at 16:16

            I am trying select two values stock id and strategy id in order to redirect to a page that displays the data but, when I try to redirect to my strategy this error comes up:

            {"detail":[{"loc":["body","stock_id"],"msg":"field required","type":"value_error.missing"}]}

            Here is how I set up my main:

            ...

            ANSWER

            Answered 2020-Dec-25 at 09:04

            Your problem does not come from the RedirectResponse, you are sending a request with the wrong parameters to your backend API.

            The name field in your from should be stock_id, because your backend expects a JSON object with two keys, and the keys should be exact keys with your endpoints parameters.

            Source https://stackoverflow.com/questions/65445564

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

            Vulnerabilities

            No vulnerabilities reported

            Install Stock_Strategy

            You can download it from GitHub.
            You can use Stock_Strategy 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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            CLONE
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            https://github.com/xcycharles/Stock_Strategy.git

          • CLI

            gh repo clone xcycharles/Stock_Strategy

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            git@github.com:xcycharles/Stock_Strategy.git

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