https://github.com/rijoslal/treasuretrack
TreasureTrack is a 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
https://github.com/rijoslal/treasuretrack
neuralprophet plotly streamlit yfinance
Last synced: 15 days ago
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TreasureTrack is a 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
- Host: GitHub
- URL: https://github.com/rijoslal/treasuretrack
- Owner: RijoSLal
- Created: 2024-10-12T09:29:03.000Z (about 1 year ago)
- Default Branch: master
- Last Pushed: 2025-02-13T17:09:10.000Z (8 months ago)
- Last Synced: 2025-02-13T17:48:27.672Z (8 months ago)
- Topics: neuralprophet, plotly, streamlit, yfinance
- Language: Jupyter Notebook
- Homepage: https://treasuretrack.streamlit.app/
- Size: 1.47 MB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 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:
```bash
git clone https://github.com/yourusername/treasuretrack.git
cd treasuretrack
```
2. Install the required Python packages using the `requirements.txt` file:
```bash
pip install -r requirements.txt
```
3. Run the application:
```bash
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
© гเן๏ ร lคl