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Stock Prediction Model App project on Python

Python ideas   Last update on -  March 25, 2023
Ayushi Tiwari
Ayushi Tiwari
python java nodejs reactjs 
10 Reviews 4
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Stock Prediction Model App project features and function requirement. Share Python Project ideas and topics with us. Grate and many Python project ideas and topics . Here some Python project ideas for research paper. Here large collection of Python project with source code and database. We many idea to development application like mobile application,desktop software application,web application development. You can find more project topics and ideas on Python. Development ideas on Stock Prediction Model App. You can find Top Downloaded Python projects here. Many project available to download with Python source code and database. Free download Stock Prediction Model App project synopsis available.


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Stock Prediction Model App project abstract


Publish by  Ayushi Tiwari
Project Name  Stock Prediction Model App
Upload Date  March 25, 2023
Platform  Python
Programming Language  Python , Machine Learning , Android
Database  MySQL
Front end  
Back end  
Project Type  web Application
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Stock Prediction Model App project description

Real-time stock data: The app should be able to provide real-time stock data so that users can make informed investment decisions. Users should be able to access historical stock data so that they can analyze trends and patterns over time.The app should use advanced machine learning algorithms to predict future stock prices based on historical data and other relevant factors.The app should have a user-friendly interface that is easy to navigate and understand. Users should be able to customize the app settings based on their personal preferences and investment strategies. The app can also include news and social media sentiment analysis to provide users with additional insights into market trends and factors that may affect stock prices.The app can allow users to track their investment portfolios and receive alerts when certain stocks reach specific price points.The app can use data visualization tools to present complex data in a clear and understandable manner.

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