Update app.py

app.py

@@ -115,7 +115,7 @@ def plot_price_with_cones(data, bootstrap_percentiles, days, thresholds, bootstr
 
 # Streamlit app
 st.set_page_config(layout="wide")
-st.title('Future Stock/Crypto Price Bootstrap Simulation')
+st.title('Future Asset Prices Bootstrap Simulation')
 
 st.sidebar.header('Input Parameters')
 
@@ -131,8 +131,8 @@ with st.sidebar.expander("How to Use", expanded=False):
     """)
 
 # Ticker and dates in an expander (open by default)
-with st.sidebar.expander("Ticker and Dates", expanded=True):
-    ticker = st.text_input('Enter Ticker', 'ASML.AS', help="Enter a stock ticker (e.g., AAPL) or a crypto pair (e.g., BTC-USD)")
+with st.sidebar.expander("Symbol and Dates", expanded=True):
+    ticker = st.text_input('Enter Asset Symbol', 'ASML.AS', help="Enter a stock ticker (e.g., AAPL) or a crypto pair (e.g., BTC-USD)")
     start_date = st.date_input('Start Date', pd.to_datetime('2020-01-01'), help="Select the start date for historical data")
     end_date = st.date_input('End Date', pd.to_datetime('2025-01-01'), help="Select the end date for historical data")
 
@@ -145,7 +145,7 @@ thresholds = [threshold1, threshold2]
 
 st.write("""
 ### Description
-This application simulates future stock or cryptocurrency prices using bootstrapping simulation methods.
+This application simulates future asset prices using bootstrapping simulation methods.
 You can specify the stock ticker or crypto pair, the date range, the number of simulation days, the number of simulations, and price thresholds.
 The simulation results will show the probability of the price falling below, between, or above the specified thresholds.""")