ui updated

utils/ui_helper.py

@@ -168,6 +168,14 @@ def main_algo_trader():
             col1, col2 = st.columns(2)
 
             with col1:
+                # Checkpoint: ask user whether they want portfolio weights
+                if csv:
+                    recent_selected_stocks = df["portfolio_history"][-1]
+                    st.success(
+                        f"The algorithm suggests to hold the following stocks for the current month (equally weighted): {recent_selected_stocks}"
+                    )
+
+            with col2:
                 # Download
                 st.download_button(
                     label="Download data as CSV",
@@ -176,14 +184,6 @@ def main_algo_trader():
                     mime="text/csv",
                 )
 
-            with col2:
-                # Checkpoint: ask user whether they want portfolio weights
-                if csv:
-                    recent_selected_stocks = df["portfolio_history"][-1]
-                    st.success(
-                        f"The algorithm suggests to hold the following stocks for the current month (equally weighted): {recent_selected_stocks}"
-                    )
-
 
 # chinese
 def main_algo_trader_chinese():
@@ -344,6 +344,12 @@ def main_algo_trader_chinese():
             col1, col2 = st.columns(2)
 
             with col1:
+                # Checkpoint: ask user whether they want portfolio weights
+                if csv:
+                    recent_selected_stocks = df["portfolio_history"][-1]
+                    st.success(f"算法建议在本月持有以下股票（均仓位）: {recent_selected_stocks}")
+
+            with col2:
                 # Download
                 st.download_button(
                     label="下载数据为CSV格式",
@@ -351,9 +357,3 @@ def main_algo_trader_chinese():
                     file_name=f"history_{end_date}.csv",
                     mime="text/csv",
                 )
-
-            with col2:
-                # Checkpoint: ask user whether they want portfolio weights
-                if csv:
-                    recent_selected_stocks = df["portfolio_history"][-1]
-                    st.success(f"算法建议在本月持有以下股票（均仓位）: {recent_selected_stocks}")