Update app.py

app.py

@@ -434,22 +434,23 @@ st.write(
     This tool helps you analyze the impact of earnings announcements 
     on a company's stock price. By providing a ticker symbol and configuring the analysis parameters in the sidebar, 
     you can explore various aspects of stock price behavior around earnings dates and the likelihood of future movements.
-    
-    Key features include:
-    
-    - **Stock Price with Earnings Surprises**: Visualize the stock price movement with indicators for positive and negative earnings surprises.
-    - **Normalized Price Movements**: Examine how the stock price changes relative to its price on the earnings announcement date.
-    - **Volatility Analysis**: Assess the stock's volatility around earnings dates to understand the market's reaction.
-    - **Volume Trends**: Analyze the trading volume before and after earnings announcements.
-    - **Price Effects**: Compare stock prices before, during, and after earnings to quantify the impact.
-    - **Earnings Surprise vs. Price Effect**: Investigate the correlation between earnings surprises and subsequent price changes.
-    - **Monte Carlo Simulations**: Use advanced statistical techniques to predict future price movements and estimate the probabilities of reaching specific price targets.
-    
-    To get started, enter the ticker symbol of the stock you want to analyze and adjust the parameters in the sidebar. 
-    Once you're ready, click "Run Analysis" to generate the visualizations and insights.
     """
 )
 
+# Expander for Key Features
+with st.expander("Key Features", expanded=False):
+    st.write(
+        """
+        - **Stock Price with Earnings Surprises**: Visualize the stock price movement with indicators for positive and negative earnings surprises.
+        - **Normalized Price Movements**: Examine how the stock price changes relative to its price on the earnings announcement date.
+        - **Volatility Analysis**: Assess the stock's volatility around earnings dates to understand the market's reaction.
+        - **Volume Trends**: Analyze the trading volume before and after earnings announcements.
+        - **Price Effects**: Compare stock prices before, during, and after earnings to quantify the impact.
+        - **Earnings Surprise vs. Price Effect**: Investigate the correlation between earnings surprises and subsequent price changes.
+        - **Monte Carlo Simulations**: Use advanced statistical techniques to predict future price movements and estimate the probabilities of reaching specific price targets.
+        """
+    )
+
 # Sidebar inputs
 st.sidebar.title("Input Parameters")