Stock Price Prediction and Analysis App

Overview

This project is a Stock Price Prediction and Analysis App built using Streamlit for the frontend, Prophet and NeuralProphet for time-series forecasting, Yahoo Finance for fetching stock data, and Google News for fetching the latest market-related news.

The app allows users to visualize stock data, predict future stock prices, and retrieve recent news headlines about selected stocks. It also provides a dashboard where users can compare multiple stocks and track their returns over a chosen time frame.

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Features

1. Stock Data Visualization

• Allows users to select any stock from the S&P 100 list and view its historical stock data (Open, Close, High, Low, and Adjusted Close prices).
• Visualizes stock data with interactive time-series graphs using Plotly.

2. Stock Price Prediction

• Uses Prophet and NeuralProphet models for stock price prediction.
• Users can select a stock and predict future prices for up to 4 years.
• Displays forecast components such as trends and seasonality.

3. Google News Stock Search

• Fetches and displays the latest news headlines related to the selected stock from Google News.
• Users can keep track of the latest news and make better-informed stock predictions and decisions.

4. Stock Dashboard

• A dashboard that allows users to select multiple stocks and compare their performance over a specific time period.
• Displays the cumulative returns of the selected stocks in an easy-to-interpret line chart.

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Technologies Used

• Frontend:

  • Streamlit: For creating the interactive web app interface.
  • Plotly: For generating dynamic and interactive visualizations.

• Backend:

  • yfinance: To fetch real-time and historical stock data from Yahoo Finance.
  • Prophet: A time-series forecasting model developed by Facebook, for predicting stock prices.
  • NeuralProphet: An advanced neural network-based time-series forecasting model.
  • Google News: For fetching the latest stock-related news headlines.

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Project Structure

.
├── app
│   ├── tableau_dashboard.png        # Image for displaying Tableau dashboard
├── main.py                          # Main file to run the Streamlit app
├── google_news.py                   # File for fetching Google News
├── dashboard.py                     # Stock dashboard logic (merged into main.py)
└── README.md                        # This readme file

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Usage

• Home: Displays information about the app's features.
• Visualization: Allows users to select a stock and visualize its historical data with interactive charts.
• Prediction: Choose a stock and predict future prices using either Prophet or NeuralProphet models.
• Google News: Search for the latest news headlines related to the selected stock.
• Dashboard: Compare the performance of multiple stocks over a selected time range and view their cumulative returns.

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Contributors

• Alessia Urzì - Data Analyst
• Sasha Crowe - Data Analyst
• Jean Philippe Auguste - Data Analyst