Stock Prediction and Trading Assistant

This project is an application that predicts stock prices using the ARIMA (AutoRegressive Integrated Moving Average) model and provides assistance to users for buying and selling stocks. It is built using Express, a web application framework for Node.js, and React, a JavaScript library for building user interfaces.

Installation

To run this project on your local machine, follow these steps:

Clone the repository:

git clone https://github.com/your-username/stock-prediction-assistant.git

Navigate to the project directory:
```
cd stock-prediction-assistant
```
Install the dependencies for both the backend (Express) and frontend (React):
```
cd backend
npm install

cd ../frontend
npm install
```
Set up the configuration file:

Create a .env file in the backend directory and specify the required environment variables. For example:
```
ALPHA_VANTAGE_API_KEY=your-api-key
```
Make sure to replace your-api-key with your actual Alpha Vantage API key, which is used for fetching stock data.

Usage

Start the backend server:
```
cd backend
npm start
```
This will start the Express server on http://localhost:5000.
Start the frontend development server:
```
cd frontend
npm start
```
This will start the React development server on http://localhost:3000 and open the application in your default browser.
Use the application:
- The homepage provides a search bar where you can enter the stock symbol (e.g., AAPL for Apple Inc.). Click on the "Search" button to get stock predictions for the entered symbol.
- The application will use the ARIMA model to predict future stock prices based on historical data.
- The predictions are displayed as charts, showing the historical and predicted stock prices.
- The application also provides a "Buy" or "Sell" recommendation based on the predicted price trends. However, please note that these recommendations are not financial advice, and you should exercise your own judgment when making investment decisions.

Development

If you wish to contribute to this project, here are the steps to set up the development environment:

Follow the installation steps mentioned above.
Make sure you have the required tools for frontend development, such as Node.js and npm (Node Package Manager).
Create a new branch for your changes:
```
git checkout -b feature/new-feature
```
Make your changes and test them locally.
Commit your changes and push them to your forked repository.
Create a pull request to the main repository's develop branch, describing the changes you have made.
Wait for the project maintainers to review and merge your changes.

License

This project is licensed under the MIT License.

Acknowledgments

Yahoo finance for providing stock data
Express for the backend web application framework.
React for the frontend JavaScript library.
ARIMA for the predictive model used in this project.

Disclaimer

The stock predictions and buy/sell recommendations provided by this application are for informational purposes only. They do not constitute financial advice, and the developers and maintainers of this project are not responsible for any