Update app.py

app.py

@@ -14,27 +14,32 @@ st.set_page_config(page_title="Identifying Key Support and Resistance In Price L
 st.title('Key Support and Resistance In Price Levels')
 
 st.markdown("""
-This tool aims to identify key support and resistance price levels in stocks using various algorithmic methods. Each method is detailed below:
-1. **Pivot Points**: Short-term trend indicators used to determine potential support and resistance levels based on the high, low, and close prices of previous trading sessions.
-2. **Support and Resistance Levels using Rolling Midpoint Range**: Key price points where the stock's price tends to halt its upward or downward trajectory, identified using a rolling window to calculate dynamic support and resistance levels.
-3. **Swing Highs and Lows**: Local maxima and minima used to identify trends and potential reversal points by pinpointing key inflection points on a stock's chart.
-4. **Fibonacci Retracement Levels**: Horizontal lines indicating potential support and resistance levels based on Fibonacci numbers, helping to identify prospective market reversal points.
-5. **Trendlines**: Straight lines drawn to connect two or more price points, helping identify the market trend direction and potential areas of support and resistance.
-6. **Volume Profile**: A charting tool that shows the amount of volume traded at different price levels over a specified period, helping identify areas of high trading activity which can act as support or resistance.
-7. **KMeans Clustering**: A machine learning algorithm used to partition the dataset into clusters, identifying patterns and grouping similar price movements together to highlight significant price levels.
+This tool aims to identify key support and resistance price levels in stocks using various algorithmic methods. Each method is detailed below.
 """)
 
+with st.expander("Click here to read the description of each method:", expanded=False):
+    st.markdown("""
+    1. **Pivot Points**: Short-term trend indicators used to determine potential support and resistance levels based on the high, low, and close prices of previous trading sessions.
+    2. **Support and Resistance Levels using Rolling Midpoint Range**: Key price points where the stock's price tends to halt its upward or downward trajectory, identified using a rolling window to calculate dynamic support and resistance levels.
+    3. **Swing Highs and Lows**: Local maxima and minima used to identify trends and potential reversal points by pinpointing key inflection points on a stock's chart.
+    4. **Fibonacci Retracement Levels**: Horizontal lines indicating potential support and resistance levels based on Fibonacci numbers, helping to identify prospective market reversal points.
+    5. **Trendlines**: Straight lines drawn to connect two or more price points, helping identify the market trend direction and potential areas of support and resistance.
+    6. **Volume Profile**: A charting tool that shows the amount of volume traded at different price levels over a specified period, helping identify areas of high trading activity which can act as support or resistance.
+    7. **KMeans Clustering**: A machine learning algorithm used to partition the dataset into clusters, identifying patterns and grouping similar price movements together to highlight significant price levels.
+    """)
+
 # Sidebar: How to use and Input Parameters
 st.sidebar.title('Input Parameters')
 
-st.sidebar.subheader('How to use:')
+#st.sidebar.subheader('How to use:')
 
-st.sidebar.markdown("""
-1. **Enter Ticker**: Specify a stock ticker or crypto pair.
-2. **Set Dates**: Choose the date range for analysis.
-3. **Adjust Parameters**: Modify methodology parameters as needed.
-4. **Run Analysis**: Click 'Run' to generate results.
-""")
+with st.sidebar.expander("How to use:", expanded=False):
+    st.markdown("""
+    1. **Enter Ticker**: Specify a stock ticker or crypto pair.
+    2. **Set Dates**: Choose the date range for analysis.
+    3. **Adjust Parameters**: Modify methodology parameters as needed.
+    4. **Run Analysis**: Click 'Run' to generate results.
+    """)
 
 # Expander for ticker and date settings
 with st.sidebar.expander("Ticker and Date Settings", expanded=True):