Update app.py

app.py

@@ -12,7 +12,6 @@ from scipy.stats import norm
 FMP_API_KEY = os.getenv("FMP_API_KEY")
 
 # Define functions
-
 def fetch_earnings_data(ticker, limit=99):
     """
     Fetch earnings data from the Financial Modeling Prep API.
@@ -84,8 +83,8 @@ def plot_stock_price_with_earnings(stock_data, earnings_dates, ticker):
     """
     fig = go.Figure()
     fig.add_trace(go.Scatter(x=stock_data.index, y=stock_data['Close'], mode='lines', name='Stock Price', line=dict(color='blue')))
-    scaling_factor = 2
-    max_marker_size = 50  # Limit the maximum marker size
+    scaling_factor = 1.2
+    max_marker_size = 30  # Limit the maximum marker size
     added_positive_legend = False
     added_negative_legend = False
 
@@ -365,13 +364,13 @@ with st.sidebar.expander("Ticker and Date Selection", expanded=True):
 with st.sidebar.expander("Analysis Parameters", expanded=True):
     threshold_percentage = st.number_input("Threshold Percentage", value=0.10, min_value=0.01, max_value=1.0, step=0.01, help="Set the threshold for percentage changes in price analysis.")
     buffer_days = st.number_input("Buffer Days", value=10, min_value=1, help="Set the number of buffer days around the earnings dates when fetching stock data.")
-    implied_volatility = st.number_input("Implied Volatility", value=0.30, min_value=0.01, max_value=1.0, step=0.01, help="Enter the implied volatility for the Monte Carlo simulation.")
     days_until_earnings = st.number_input("Days Until Earnings", value=10, min_value=1, help="Enter the number of days until the earnings announcement for the Monte Carlo simulation.")
-    num_simulations = st.number_input("Number of Simulations for Monte Carlo", value=10000, min_value=100, help="Set the number of simulations for the Monte Carlo analysis.")
 
 # Checkbox to run Monte Carlo simulations
 with st.sidebar.expander("Monte Carlo Simulation", expanded=False):
-    run_simulation = st.checkbox("Run Monte Carlo Simulations (may slow down the app)", value=False)
+    run_simulation = st.checkbox("Run Monte Carlo Simulations (will take a few seconds)", value=False, help="Whether to run Monte Carlo Simulation Analysis. May slow down the app.")
+    implied_volatility = st.number_input("Implied Volatility", value=0.30, min_value=0.01, max_value=1.0, step=0.01, help="Enter the implied volatility for the Monte Carlo simulation.")
+    num_simulations = st.number_input("Number of Simulations for Monte Carlo", value=10000, min_value=100, help="Set the number of simulations for the Monte Carlo analysis.")
 
 if st.sidebar.button("Run Analysis"):
     try: