msg

app.py

@@ -6,39 +6,33 @@ import plotly.graph_objs as go
 # Set the Streamlit app title and icon
 st.set_page_config(page_title="Stock Analysis", page_icon="📈")
 
-# Define the Streamlit app
-def main():
-    # Create a Streamlit sidebar for user input
-    st.sidebar.title("Stock Analysis")
-    ticker_symbol = st.sidebar.text_input("Enter Stock Ticker Symbol:", value='AAPL')
-    start_date = st.sidebar.date_input("Start Date", pd.to_datetime('2020-01-01'))
-    end_date = st.sidebar.date_input("End Date", pd.to_datetime('2021-01-01'))
+# Create a Streamlit sidebar for user input
+st.sidebar.title("Stock Analysis")
+ticker_symbol = st.sidebar.text_input("Enter Stock Ticker Symbol:", value='AAPL')
+start_date = st.sidebar.date_input("Start Date", pd.to_datetime('2020-01-01'))
+end_date = st.sidebar.date_input("End Date", pd.to_datetime('2021-01-01'))
 
-    # Fetch stock data from Yahoo Finance
-    try:
-        stock_data = yf.download(ticker_symbol, start=start_date, end=end_date)
-    except Exception as e:
-        st.error("Error fetching stock data. Please check the ticker symbol and date range.")
-        return
+# Fetch stock data from Yahoo Finance
+try:
+    stock_data = yf.download(ticker_symbol, start=start_date, end=end_date)
+except Exception as e:
+    st.error("Error fetching stock data. Please check the ticker symbol and date range.")
+    return
 
-    # Display basic stock information
-    st.header(f"Stock Analysis for {ticker_symbol}")
-    st.subheader("Basic Stock Information")
-    st.write(stock_data.tail())
+# Display basic stock information
+st.header(f"Stock Analysis for {ticker_symbol}")
+st.subheader("Basic Stock Information")
+st.write(stock_data.tail())
 
-    # Plot a candlestick chart
-    st.subheader("Candlestick Chart")
-    fig = go.Figure(data=[go.Candlestick(x=stock_data.index,
-                open=stock_data['Open'],
-                high=stock_data['High'],
-                low=stock_data['Low'],
-                close=stock_data['Close'])])
-    fig.update_layout(title=f'{ticker_symbol} Candlestick Chart', xaxis_title='Date', yaxis_title='Price')
-    st.plotly_chart(fig)
+# Plot a candlestick chart
+st.subheader("Candlestick Chart")
+fig = go.Figure(data=[go.Candlestick(x=stock_data.index,
+            open=stock_data['Open'],
+            high=stock_data['High'],
+            low=stock_data['Low'],
+            close=stock_data['Close'])])
+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
-
-# Run the Streamlit app
-if __name__ == '__main__':
-    main()
+# Perform more advanced analysis here
+# You can add more Streamlit components and analysis tools as needed