Update app.py

app.py

@@ -43,27 +43,36 @@ if symbols_input:
             results.append({"Symbol": symbol, "Sector ETF": "Không rõ", "Kết luận": "Không phân tích được"})
             continue
 
-        stock_data = yf.download(symbol, period=period)['Close']
-        etf_data = yf.download(etf, period=period)['Close']
+        # Download data for both the stock and the ETF
+        stock_data = yf.download(symbol, period=period, progress=False)['Close']
+        etf_data = yf.download(etf, period=period, progress=False)['Close']
 
         if stock_data is None or stock_data.empty or etf_data is None or etf_data.empty:
             results.append({"Symbol": symbol, "Sector ETF": etf, "Kết luận": "Không có dữ liệu"})
             continue
 
-        if len(stock_data) >= 2 and len(etf_data) >= 2:
-            pct_stock = (stock_data.iloc[-1] - stock_data.iloc[0]) / stock_data.iloc[0] * 100
-            pct_sector = (etf_data.iloc[-1] - etf_data.iloc[0]) / etf_data.iloc[0] * 100
-            verdict = "Outperform" if pct_stock > pct_sector else "Underperform"
-
-            results.append({
-                "Symbol": symbol,
-                "Sector ETF": etf,
-                "% Stock": f"{pct_stock:.2f}%",
-                "% Sector": f"{pct_sector:.2f}%",
-                "Kết luận": verdict
-            })
-        else:
+        # Align the indices by taking the intersection of the dates
+        common_dates = stock_data.index.intersection(etf_data.index)
+        if len(common_dates) < 2:  # Need at least 2 data points to calculate percentage change
             results.append({"Symbol": symbol, "Sector ETF": etf, "Kết luận": "Dữ liệu không đủ"})
+            continue
+
+        # Reindex both Series to the common dates
+        stock_data = stock_data.loc[common_dates]
+        etf_data = etf_data.loc[common_dates]
+
+        # Calculate percentage change
+        pct_stock = (stock_data.iloc[-1] - stock_data.iloc[0]) / stock_data.iloc[0] * 100
+        pct_sector = (etf_data.iloc[-1] - etf_data.iloc[0]) / etf_data.iloc[0] * 100
+        verdict = "Outperform" if pct_stock > pct_sector else "Underperform"
+
+        results.append({
+            "Symbol": symbol,
+            "Sector ETF": etf,
+            "% Stock": f"{pct_stock:.2f}%",
+            "% Sector": f"{pct_sector:.2f}%",
+            "Kết luận": verdict
+        })
 
     df = pd.DataFrame(results)
-    st.dataframe(df)
+    st.dataframe(df)