finance-ml | uses machine learning techniques to build a backtesting | Business library

 by   omarkhursheed Python Version: Current License: No License

kandi X-RAY | finance-ml Summary

kandi X-RAY | finance-ml Summary

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

A project that uses machine learning techniques to build a backtesting engine for trading and to analyze stock market data and make predictions.
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            kandi-support Support

              finance-ml has a low active ecosystem.
              It has 13 star(s) with 11 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 2 have been closed. On average issues are closed in 77 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of finance-ml is current.

            kandi-Quality Quality

              finance-ml has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

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

            kandi-Reuse Reuse

              finance-ml releases are not available. You will need to build from source code and install.
              finance-ml has no build file. You will be need to create the build yourself to build the component from source.
              finance-ml saves you 1335 person hours of effort in developing the same functionality from scratch.
              It has 2994 lines of code, 25 functions and 19 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed finance-ml and discovered the below as its top functions. This is intended to give you an instant insight into finance-ml implemented functionality, and help decide if they suit your requirements.
            • Creates a dataframe that can be used to create a data table
            • Show admin section
            • Main function for train
            • Convert a series of data into a supervised model
            • Fit LSTM model
            • Wrapper function for scaling
            • Convenience function for making a supervised dataframe
            • Compute the difference between the given interval
            • Invert a scale
            • Train all tables
            • Update data extraction
            • LSTM model
            • Inverse of yhat
            Get all kandi verified functions for this library.

            finance-ml Key Features

            No Key Features are available at this moment for finance-ml.

            finance-ml Examples and Code Snippets

            No Code Snippets are available at this moment for finance-ml.

            Community Discussions

            QUESTION

            How to solve BigQuery "request could not be completed" error?
            Asked 2018-Sep-06 at 12:38

            In Google BigQuery, when I enter the following query I get the following error. How can I solve this problem?

            Thanks,

            Josh

            ...

            ANSWER

            Answered 2018-Sep-06 at 12:38

            The problem is in your SELECT statement - it is missing bidclose field in the output while it is defined as a label for a model

            Just add it into SELECT list and you should be good (unless something else will come up - like - as an example - having NULL values for bidclose in some rows - so you can add WHERE NOT bidclose IS NULL)

            Also fix below line to use . instead of :

            Source https://stackoverflow.com/questions/52193672

            QUESTION

            Google BigQuery ML
            Asked 2018-Sep-02 at 15:34

            I am struggling to use BigQuery's ML features. Basically, I write the following query and the it fails with this message:

            Syntax error: Unexpected string literal 'finance-ml-jdb.FOREX.EURGBP' at [17:3]

            ...

            ANSWER

            Answered 2018-Sep-02 at 12:12

            You need to use back-ticks, not single quotes.

            Source https://stackoverflow.com/questions/52136662

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

            Vulnerabilities

            No vulnerabilities reported

            Install finance-ml

            You can download it from GitHub.
            You can use finance-ml 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
          • HTTPS

            https://github.com/omarkhursheed/finance-ml.git

          • CLI

            gh repo clone omarkhursheed/finance-ml

          • sshUrl

            git@github.com:omarkhursheed/finance-ml.git

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