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import streamlit as st
st.set_page_config(
page_title="NSE Stock Analysis",
page_icon="📈",
layout="wide",
initial_sidebar_state="expanded"
)
# Custom CSS to reduce sidebar width and improve layout
st.markdown("""
<style>
[data-testid="stSidebar"][aria-expanded="true"] {
min-width: 200px;
max-width: 200px;
}
[data-testid="stSidebar"][aria-expanded="false"] {
min-width: 200px;
margin-left: -200px;
}
.css-1d391kg {
padding-top: 1rem;
}
.stApp > header {
background-color: transparent;
}
.news-table {
font-size: 14px;
width: 100%;
}
.news-table td {
padding: 8px;
}
</style>
""", unsafe_allow_html=True)
def main():
st.title("NSE Stock Analysis Platform")
st.markdown("""
Welcome to the NSE Stock Analysis Platform. This tool provides technical analysis and trading signals
for NSE-listed stocks.
### Features:
- Real-time stock data and technical indicators
- Interactive charts with multiple timeframes
- Trading signals based on technical analysis
- Stock screener with customizable criteria
- Latest news for NSE stocks
- AI-powered stock recommendations
### Available Tools:
1. **Stock Analysis**: Detailed technical analysis with multiple indicators
2. **Stock Screener**: Screen stocks based on technical criteria
3. **AI Recommendations**: Get AI-powered stock recommendations
4. **News**: Latest news articles for NSE stocks
Choose a tool from the sidebar to get started.
""")
st.sidebar.title("Navigation")
page = st.sidebar.radio("Select a Tool",
["Stock Analysis", "Stock Screener", "AI Recommendations", "News"])
if page == "Stock Analysis":
from pages.stock_analysis import stock_analysis_page
stock_analysis_page()
elif page == "Stock Screener":
from pages.stock_screener import stock_screener_page
stock_screener_page()
elif page == "AI Recommendations":
from pages.recommendations import recommendations_page
recommendations_page()
else:
from pages.news import news_page
news_page()
if __name__ == "__main__":
main() |