Stocky | Machine Learning Stock Trading Risk Analysis | Machine Learning library

 by   leavenstee Python Version: Current License: No License

kandi X-RAY | Stocky Summary

kandi X-RAY | Stocky Summary

Stocky is a Python library typically used in Institutions, Learning, Education, Artificial Intelligence, Machine Learning applications. Stocky has no bugs, it has no vulnerabilities and it has low support. However Stocky build file is not available. You can download it from GitHub.

![Stocky Logo] /stocky_banner.png) # Developed by Steven Lee # Supervised by Dr. Martin Allen at University of Wisconsin - La Crosse.
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              Stocky has a low active ecosystem.
              It has 27 star(s) with 14 fork(s). There are 8 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              Stocky has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Stocky is current.

            kandi-Quality Quality

              Stocky has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              Stocky 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

              Stocky releases are not available. You will need to build from source code and install.
              Stocky has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              Stocky saves you 225 person hours of effort in developing the same functionality from scratch.
              It has 549 lines of code, 17 functions and 7 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Stocky and discovered the below as its top functions. This is intended to give you an instant insight into Stocky implemented functionality, and help decide if they suit your requirements.
            • Prints the stocks in a file
            • Simulate DICE roll 3 week
            • Simple function for buy_mONDAY
            • Simulate Normal Network
            • Simulate DICE roll 3 days
            • Predict the model .
            • Load training data .
            • Build model .
            • renormalize prediction .
            • Evaluate stocks .
            Get all kandi verified functions for this library.

            Stocky Key Features

            No Key Features are available at this moment for Stocky.

            Stocky Examples and Code Snippets

            No Code Snippets are available at this moment for Stocky.

            Community Discussions

            QUESTION

            Find all words that match and get the number of them
            Asked 2021-Jun-15 at 17:18

            My code should print the number of all the words replaced from Z's to Y's, using a while loop.

            ...

            ANSWER

            Answered 2021-Jun-15 at 17:18

            Use sum and count with list comprehension

            Source https://stackoverflow.com/questions/67990710

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

            Vulnerabilities

            No vulnerabilities reported

            Install Stocky

            You can download it from GitHub.
            You can use Stocky 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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          • HTTPS

            https://github.com/leavenstee/Stocky.git

          • CLI

            gh repo clone leavenstee/Stocky

          • sshUrl

            git@github.com:leavenstee/Stocky.git

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