TreasureTrack

TreasureTrack is a Streamlit-based web application designed to forecast stock prices using the NeuralProphet model. It allows users to select from a range of popular stocks, view their historical price data, and predict future prices over a customizable number of days.

Features

• Select from a list of well-known stocks such as Apple, Amazon, Tesla, and more.
• View historical stock data from Yahoo Finance.
• Forecast future stock prices using the NeuralProphet model.
• Interactive plot showing live stock prices and predicted future prices.
• Customizable forecast period, allowing predictions from 2 to 300 days.

Getting Started

Prerequisites

Make sure you have the following installed:

• Python 3.8 or above
• Streamlit
• Pandas
• Numpy
• Plotly
• NeuralProphet
• yfinance

Installation

1. Clone this repository:

   git clone https://github.com/yourusername/treasuretrack.git
   cd treasuretrack

2. Install the required Python packages using the requirements.txt file:

   pip install -r requirements.txt

3. Run the application:

   streamlit run app.py

How to Use

1. Select a Stock: Choose a stock from the dropdown list.
2. Set Prediction Days: Use the slider to select the number of days you want to forecast (between 2 and 300).
3. View Historical Data: The application will load and display the historical stock data from Yahoo Finance.
4. Forecast Stock Prices: The model will fit the historical data and predict future stock prices.
5. View the Graph: The graph will display the live data and forecasted stock prices.
6. View the Forecasted Data: Check the stock price predictions at the bottom of the app.

Example Stocks Available

• Apple (AAPL)
• Tesla (TSLA)
• Microsoft (MSFT)
• Amazon (AMZN)
• Meta (META)
• NVIDIA (NVDA)
• Berkshire Hathaway (BRK.B)
• and many more...

Project Structure

├── app.py              # Main Streamlit app
├── requirements.txt    # Required Python packages
└── README.md           # Project documentation

License

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