Update app.py

app.py

@@ -151,13 +151,14 @@ def plot_volatility_squeeze_plotly(data, ticker, show_signals=False, best_buy_pr
         st.plotly_chart(fig, use_container_width=True)
 
 # Sidebar layout
-st.sidebar.title("Configuration")
-st.sidebar.write("### How to Use")
-st.sidebar.write("""
-1. Select the symbol (stock ticker or cryptocurrency pair), date range, and parameters.
-2. Click 'Run Analysis' to generate the results.
-3. Use the toggle inside the 'Trading Signals' section to display buy/sell signals.
-""")
+st.sidebar.title("Input Parameters")
+with st.sidebar.expander("How to use", expanded=False):
+    st.write("### How to Use")
+    st.write("""
+    1. Select the symbol (stock ticker or cryptocurrency pair), date range, and parameters.
+    2. Click 'Run Analysis' to generate the results.
+    3. Use the toggle inside the 'Trading Signals' section to display buy/sell signals.
+    """)
 
 # Input widgets
 with st.sidebar.expander("Symbol Selection", expanded=True):  # Open by default
@@ -165,19 +166,19 @@ with st.sidebar.expander("Symbol Selection", expanded=True):  # Open by default
     start_date = st.date_input("Start Date", value=pd.to_datetime("2020-01-01"), help="Select the start date for the analysis.")
     end_date = st.date_input("End Date", value=datetime.now() + timedelta(days=1), help="Select the end date for the analysis.")
 
-with st.sidebar.expander("Analysis Parameters"):
+with st.sidebar.expander("Analysis Parameters", expanded=True):
     window = st.slider("Rolling Window Size", min_value=10, max_value=100, value=20, step=1, help="Window size for the rolling calculations, e.g., Bollinger Bands.")
     atr_mult = st.slider("ATR Multiplier", min_value=1.0, max_value=3.0, value=1.5, step=0.1, help="Multiplier for the Average True Range in the Keltner Channel calculation.")
     base_threshold = st.slider("Squeeze Threshold", min_value=0.005, max_value=0.05, value=0.045, step=0.005, help="Threshold for determining a squeeze condition.")
 
-with st.sidebar.expander("Confirmation Indicators"):
+with st.sidebar.expander("Confirmation Indicators", expanded=False):
     rsi_window = st.slider("RSI Window", min_value=5, max_value=30, value=14, step=1, help="Window size for the Relative Strength Index (RSI) calculation.")
     macd_short = st.slider("MACD Short Period", min_value=5, max_value=20, value=12, step=1, help="Short period for the MACD calculation.")
     macd_long = st.slider("MACD Long Period", min_value=20, max_value=50, value=26, step=1, help="Long period for the MACD calculation.")
     macd_signal = st.slider("MACD Signal Period", min_value=5, max_value=20, value=9, step=1, help="Signal period for the MACD calculation.")
 
 # Trading signals expander with toggle and proximity settings
-with st.sidebar.expander("Trading Signals"):
+with st.sidebar.expander("Trading Signals", expanded=False):
     show_trading_signals = st.checkbox("Show Trading Signals", value=False, help="Toggle to display indicative buy and sell signals based on a trend-following strategy using volatility squeezes and proximity to Bollinger Bands. Buy signals occur when a squeeze is detected, and the price breaks above the Bollinger High band, suggesting an upward trend. Sell signals occur when the price drops below the Bollinger Low band, indicating a downward trend. Both signals allow adjustable proximity to fine-tune sensitivity.")
 
     buy_proximity_range = st.multiselect(