Update app.py

app.py

@@ -28,12 +28,8 @@ st.sidebar.title("Input Parameters")
 with st.sidebar.expander("Stop-Loss Strategy", expanded=True):
     page = st.radio("Select Mode", ["Run Strategy", "Optimize Parameters"])
 
-# Select the page
-#page = st.sidebar.radio("Select Mode", ["Run Strategy", "Optimize Parameters"])
-
 # Common user inputs in the sidebar with collapsible sections
 with st.sidebar:
-
     with st.expander("How to use", expanded=False):
         st.header("How to Use")
         st.markdown("""
@@ -42,7 +38,6 @@ with st.sidebar:
         3. Set the symbol, date range, and strategy parameters in the **Parameters** section.
         4. Click **Run Strategy** or **Run Optimization** to execute the selected operation.
         """)
-    #st.header("Parameters")
     
     # Symbol and Date Section
     with st.expander("Symbol and Date Range", expanded=True):
@@ -70,12 +65,14 @@ st.markdown("""
 This application esimates dynamic stop-loss levels using the Average True Range (ATR) indicator. You can either run a strategy with specific ATR parameters or optimize those parameters to find the best stop-loss settings. The app works with both stocks and cryptocurrency pairs.
 """)
 
-# Function to fetch data
+# Function to fetch data with yfinance adjustments
 @st.cache_data(show_spinner=False)
 def fetch_data(symbol, start, end):
-    data = yf.download(symbol, start=start, end=end)
+    data = yf.download(symbol, start=start, end=end, auto_adjust=False)
+    if isinstance(data.columns, pd.MultiIndex):
+        data.columns = data.columns.get_level_values(0)
     if data.empty:
-        raise ValueError("No data fetched.")
+        raise ValueError(f"No data fetched for {symbol} from {start} to {end}.")
     return data
 
 # Function to compute Relative Strength Index (RSI)