Assignment Data Toolkit
Documentation for "feature/add-about-project" Branch Purpose of the Branch: This branch has been specifically created for the development and addition of the "About the Application" section to the "market-prediction" project. The main purpose is to provide a dedicated area to describe the project, its objectives, and features.
Changes Made: Creation of appinfo.txt File: This file contains essential details about the application, including an overview of the project, its key functions, and information about its development. Updates from Main Branch: To maintain consistency with the main project, the latest changes from the main branch have been incorporated, including updates to the readme.txt file. Next Steps: The changes in this branch will be reviewed and, once approved, merged into the main branch to update the main project with the new "About the Application" section.
Stock Predictor is a simple Flask web application that uses linear regression to predict stock prices. It fetches historical stock data using yfinance and employs a linear regression model from scikit-learn for predictions.
- Python 3.x
- pip
- Clone the repository:
- Install the required packages:
- Navigate to the project directory:
- Start the Flask server:
- Open a web browser and go to
http://127.0.0.1:5000/.
The application will display the predicted stock price for the next day and the confidence level of the model.
Cristian Ferrara 2024