Update app.py

app.py

@@ -26,7 +26,7 @@ with st.sidebar.expander("Ticker and Date Settings", expanded=True):
 # Wrapping parameter settings in an expander
 with st.sidebar.expander("Parameter Settings", expanded=True):
     time_horizon = st.slider('Time Horizon (Days)', min_value=1, max_value=60, value=30, help="Set the number of days into the future for which you want to estimate asset prices.")
-    std_multipliers = st.multiselect('Select Std Multipliers', [1, 1.25, 1.5, 1.75, 2], default=[1, 1.25, 1.5], help="Choose the standard deviation multipliers to calculate future price ranges.")
+    std_multipliers = st.multiselect('Select Std Multipliers', [1, 1.25, 1.5, 1.75, 2,2.25,2.5,2.75,3], default=[1, 1.25, 1.5, 1.75], help="Choose the standard deviation multipliers to calculate future price ranges.")
     rolling_window = st.slider('Rolling Window (Days)', min_value=10, max_value=90, value=30, step=5, help="Set the number of days to use for calculating rolling volatility.")
 
 
@@ -36,11 +36,6 @@ The predictions are based on historical volatility, calculated from the asset's
 You can adjust the time horizon and standard deviation multipliers to see how the expected price range changes.
 """)
 
-# Display the main formula with clear, basic LaTeX
-st.latex(r'''
-P_t = P_0 \times e^{\sigma \times \sqrt{t} \times z}
-''')
-
 with st.expander("Click here to read more about the methodology", expanded=False):
     st.latex(r'''
     P_t = P_0 \times e^{\sigma \times \sqrt{t} \times z}