Update app.py

app.py

@@ -155,9 +155,9 @@ with st.expander("Click here to read the description"):
     ### Description
     This application simulates future stock or cryptocurrency 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.
+    The simulation results will show the probability of the price falling below, between, or above the specified thresholds.""")
 
-    **Background and Concept**
+    st.write("""**Background and Concept**
     The concept of bootstrapping was introduced by Bradley Efron in 1979. The primary goal of bootstrapping is to understand the variability of a statistic by generating multiple samples from the observed data. This approach assumes that the sample data represents the population, allowing us to draw inferences about the population from the sample.
 
     **Steps in Bootstrapping:**