# Importing Streamlit for building the web-based interactive application framework import streamlit as st # Function to display the Grafana Dashboard sections def display_project_dashboard(): st.markdown( """
The Grafana dashboard provides an interactive and dynamic interface for real-time data visualization and analysis.
This section displays dashboard snapshots from the project, organized by categories.
This section provides an overview of the stock market, project details, and descriptions of the companies used in the project, including MAANG, Nvidia, Microsoft, and TCS.
This section displays numerical data of the stock market, featuring graphs of open, high, low, and close prices along with volume bar plots, RSI, and moving averages.
This section highlights model predictions, including individual and comparative graphs of predicted and actual values for stock prices, as well as predicted RSI and moving averages.
This section visualizes sentiment analysis from news headlines, showcasing positive, negative, and neutral sentiment scores.
The hybrid model combines numerical and textual data for a comprehensive analysis.