msg

app.py

@@ -2,6 +2,7 @@ import streamlit as st
 import yfinance as yf
 import pandas as pd
 import plotly.graph_objs as go
+import numpy as np
 
 # Set the Streamlit app title and icon
 st.set_page_config(page_title="Stock Analysis", page_icon="📈")
@@ -33,5 +34,15 @@ fig = go.Figure(data=[go.Candlestick(x=stock_data.index,
 fig.update_layout(title=f'{ticker_symbol} Candlestick Chart', xaxis_title='Date', yaxis_title='Price')
 st.plotly_chart(fig)
 
-# Perform more advanced analysis here
-# You can add more Streamlit components and analysis tools as needed
+# Calculate basic statistics
+st.subheader("Basic Statistics")
+st.write(f"**Average Closing Price**: ${np.mean(stock_data['Close']):.2f}")
+st.write(f"**Minimum Closing Price**: ${np.min(stock_data['Close']):.2f}")
+st.write(f"**Maximum Closing Price**: ${np.max(stock_data['Close']):.2f}")
+st.write(f"**Total Volume Traded**: {np.sum(stock_data['Volume']):,} shares")
+
+# Add a text summary
+st.subheader("Stock Summary")
+st.write("This is a brief summary of the stock's performance.")
+st.write("You can add more in-depth analysis and insights here.")
+# You can use external libraries or APIs for more advanced analysis