Python-Stock | Predicting stock prices from Yahoo stock screener | SMS library

 by   Lucas-Kohorst Python Version: Current License: No License

kandi X-RAY | Python-Stock Summary

kandi X-RAY | Python-Stock Summary

Python-Stock is a Python library typically used in Messaging, SMS applications. Python-Stock has no bugs, it has no vulnerabilities and it has low support. However Python-Stock build file is not available. You can download it from GitHub.

Predicting stock prices from Yahoo stock screener using scikit-learn and sending the predicitons via smtplib to a phone number. Time series analysis (Linear Regression) is used, sciki-learn, to predict the future prices from the stock tickers.
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              Python-Stock has a low active ecosystem.
              It has 52 star(s) with 43 fork(s). There are 8 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 2 open issues and 3 have been closed. On average issues are closed in 1 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Python-Stock is current.

            kandi-Quality Quality

              Python-Stock has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              Python-Stock 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

              Python-Stock releases are not available. You will need to build from source code and install.
              Python-Stock 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.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Python-Stock and discovered the below as its top functions. This is intended to give you an instant insight into Python-Stock implemented functionality, and help decide if they suit your requirements.
            • Gets the price of a given number of days
            • Predict historical data for a given stock
            • Sends a text message
            Get all kandi verified functions for this library.

            Python-Stock Key Features

            No Key Features are available at this moment for Python-Stock.

            Python-Stock Examples and Code Snippets

            No Code Snippets are available at this moment for Python-Stock.

            Community Discussions

            QUESTION

            Matrix Multiplication in python vs R not returning the same results for SVD whitening
            Asked 2021-Dec-07 at 00:53

            I'm trying this simple whitening function in python in R

            Python

            ...

            ANSWER

            Answered 2021-Dec-07 at 00:53

            It is usually written wiki, where V* is the transpose of V:

            And this is what you get back in scipy.linalg.svd:

            Factorizes the matrix a into two unitary matrices U and Vh, and a 1-D array s of singular values (real, non-negative) such that a == U @ S @ Vh, where S is a suitably shaped matrix of zeros with main diagonal s.

            Whereas for svd in R they return you V. Therefore should be:

            Source https://stackoverflow.com/questions/70253365

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

            Vulnerabilities

            No vulnerabilities reported

            Install Python-Stock

            You can download it from GitHub.
            You can use Python-Stock 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 .
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            CLONE
          • HTTPS

            https://github.com/Lucas-Kohorst/Python-Stock.git

          • CLI

            gh repo clone Lucas-Kohorst/Python-Stock

          • sshUrl

            git@github.com:Lucas-Kohorst/Python-Stock.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link

            Explore Related Topics

            Consider Popular SMS Libraries

            easy-sms

            by overtrue

            textbelt

            by typpo

            notifme-sdk

            by notifme

            ali-oss

            by ali-sdk

            stashboard

            by twilio

            Try Top Libraries by Lucas-Kohorst

            Twitter-Bot

            by Lucas-KohorstPython

            Twitter-Data

            by Lucas-KohorstPython

            News-Bias

            by Lucas-KohorstPython

            react-sentence-tree

            by Lucas-KohorstJavaScript

            GeoTrendBot

            by Lucas-KohorstJavaScript