Update app.py

app.py

@@ -33,10 +33,6 @@ TAIWAN_STOCKS = {
     '譜瑞-KY': '4966.TWO',
     '貿聯-KY': '3665.TW',
     '騰雲': '6870.TWO',
-    '緯軟': '4953.TWO',
-    '旺宏': '2337.TW',
-    '順德': '2351.TW',
-    '南亞科': '2408.TW',
     '穩懋': '3105.TWO'
 }
 
@@ -58,11 +54,7 @@ INDUSTRY_MAPPING = {
     '1101.TW': '營建',
     '4966.TWO': '高速傳輸',
     '3665.TW': '連接器',
-    '2337.TW': 'NFLASH',
-    '2408.TW': 'DRAM',
-    '2351.TW': '車用導線架',
     '6870.TWO': '軟體整合',
-    '4953.TWO': '軟體外包',
     '3105.TWO': 'PA功率'
 }
 
@@ -640,7 +632,8 @@ def update_taiex_prediction(predict_days):
     # --- 修改結束 ---
 
     # 預測結果卡片 (維持不變)
-    color = '#00C851' if change_pct >= 0 else '#FF4444'
+    # 根據台股慣例修改顏色
+    color = 'red' if change_pct >= 0 else 'green'
     arrow = '📈' if change_pct >= 0 else '📉'
 
     result_card = html.Div([
@@ -718,13 +711,15 @@ def update_stock_info(selected_stock):
     # 找出股票中文名稱
     stock_name = [name for name, symbol in TAIWAN_STOCKS.items() if symbol == selected_stock][0]
 
-    color = 'green' if change >= 0 else 'red'
+    # 根據台股慣例修改顏色
+    color = 'red' if change >= 0 else 'green'
+    arrow = '▲' if change >= 0 else '▼'
 
     return html.Div([
         html.Div([
             html.H3(f"{stock_name} ({selected_stock})", style={'margin': '0'}),
             html.H2(f"${current_price:.2f}", style={'margin': '5px 0', 'color': color}),
-            html.P(f"{'▲' if change >= 0 else '▼'} {change:+.2f} ({change_pct:+.2f}%)",
+            html.P(f"{arrow} {change:+.2f} ({change_pct:+.2f}%)",
                    style={'margin': '0', 'color': color, 'font-weight': 'bold'})
         ], style={
             'background': 'white',
@@ -765,13 +760,16 @@ def update_price_chart(selected_stock, period, chart_type):
     stock_name = [name for name, symbol in TAIWAN_STOCKS.items() if symbol == selected_stock][0]
 
     if chart_type == 'candlestick':
+        # 根據台股慣例修改顏色
         fig = go.Figure(data=go.Candlestick(
             x=data.index,
             open=data['Open'],
             high=data['High'],
             low=data['Low'],
             close=data['Close'],
-            name=stock_name
+            name=stock_name,
+            increasing_line_color='red',  # 上漲為紅色
+            decreasing_line_color='green'  # 下跌為綠色
         ))
     else:
         fig = px.line(data, y='Close', title=f'{stock_name} 股價走勢')
@@ -804,13 +802,14 @@ def update_rsi_chart(selected_stock, period):
 
     fig = go.Figure()
     fig.add_trace(go.Scatter(x=data.index, y=data['RSI'], mode='lines', name='RSI', line=dict(color='purple', width=2)))
-    fig.add_hline(y=70, line_dash="dash", line_color="red", annotation_text="超買線(70)")
-    fig.add_hline(y=30, line_dash="dash", line_color="green", annotation_text="超賣線(30)")
+    # 根據台股慣例修改顏色
+    fig.add_hline(y=70, line_dash="dash", line_color="green", annotation_text="超買線(70)")
+    fig.add_hline(y=30, line_dash="dash", line_color="red", annotation_text="超賣線(30)")
     fig.add_hline(y=50, line_dash="dot", line_color="gray", annotation_text="中線(50)")
 
     # 添加超買超賣區域背景
-    fig.add_hrect(y0=70, y1=100, fillcolor="red", opacity=0.1, annotation_text="超買區")
-    fig.add_hrect(y0=0, y1=30, fillcolor="green", opacity=0.1, annotation_text="超賣區")
+    fig.add_hrect(y0=70, y1=100, fillcolor="green", opacity=0.1, annotation_text="超買區")
+    fig.add_hrect(y0=0, y1=30, fillcolor="red", opacity=0.1, annotation_text="超賣區")
 
     fig.update_layout(
         title='RSI 相對強弱指標',
@@ -840,12 +839,14 @@ def update_advanced_technical_chart(indicator, selected_stock, period):
     if indicator == 'RSI':
         fig = go.Figure()
         fig.add_trace(go.Scatter(x=data.index, y=data['RSI'], mode='lines', name='RSI', line=dict(color='purple', width=2)))
-        fig.add_hline(y=70, line_dash="dash", line_color="red", annotation_text="超買線(70)")
-        fig.add_hline(y=30, line_dash="dash", line_color="green", annotation_text="超賣線(30)")
+        # 根據台股慣例修改顏色
+        fig.add_hline(y=70, line_dash="dash", line_color="green", annotation_text="超買線(70)")
+        fig.add_hline(y=30, line_dash="dash", line_color="red", annotation_text="超賣線(30)")
         fig.add_hline(y=50, line_dash="dot", line_color="gray", annotation_text="中線(50)")
-
-        fig.add_hrect(y0=70, y1=100, fillcolor="red", opacity=0.1)
-        fig.add_hrect(y0=0, y1=30, fillcolor="green", opacity=0.1)
+        
+        # 根據台股慣例修改顏色
+        fig.add_hrect(y0=70, y1=100, fillcolor="green", opacity=0.1)
+        fig.add_hrect(y0=0, y1=30, fillcolor="red", opacity=0.1)
 
         fig.update_layout(
             title=f'{stock_name} - RSI 相對強弱指標',
@@ -891,7 +892,8 @@ def update_advanced_technical_chart(indicator, selected_stock, period):
         ), row=2, col=1)
         
         # 3. Histogram 柱狀圖
-        colors = ['green' if x >= 0 else 'red' for x in data['MACD_Histogram']]
+        # 根據台股慣例修改顏色
+        colors = ['red' if x >= 0 else 'green' for x in data['MACD_Histogram']]
         fig.add_trace(go.Bar(
             x=data.index, 
             y=data['MACD_Histogram'], 
@@ -962,13 +964,15 @@ def update_advanced_technical_chart(indicator, selected_stock, period):
                                 line=dict(color='red', width=2)), row=2, col=1)
 
         # KD指標參考線
-        fig.add_hline(y=80, line_dash="dash", line_color="red", annotation_text="超買線(80)", row=2, col=1)
-        fig.add_hline(y=20, line_dash="dash", line_color="green", annotation_text="超賣線(20)", row=2, col=1)
+        # 根據台股慣例修改顏色
+        fig.add_hline(y=80, line_dash="dash", line_color="green", annotation_text="超買線(80)", row=2, col=1)
+        fig.add_hline(y=20, line_dash="dash", line_color="red", annotation_text="超賣線(20)", row=2, col=1)
         fig.add_hline(y=50, line_dash="dot", line_color="gray", annotation_text="中線(50)", row=2, col=1)
 
         # 超買超賣區域
-        fig.add_hrect(y0=80, y1=100, fillcolor="red", opacity=0.1, row=2, col=1)
-        fig.add_hrect(y0=0, y1=20, fillcolor="green", opacity=0.1, row=2, col=1)
+        # 根據台股慣例修改顏色
+        fig.add_hrect(y0=80, y1=100, fillcolor="green", opacity=0.1, row=2, col=1)
+        fig.add_hrect(y0=0, y1=20, fillcolor="red", opacity=0.1, row=2, col=1)
 
         fig.update_layout(
             title=f'{stock_name} - KD 隨機指標 (9,3,3)',
@@ -991,13 +995,15 @@ def update_advanced_technical_chart(indicator, selected_stock, period):
                                 line=dict(color='purple', width=2)), row=2, col=1)
 
         # 威廉指標參考線
-        fig.add_hline(y=-20, line_dash="dash", line_color="red", annotation_text="超買線(-20)", row=2, col=1)
-        fig.add_hline(y=-80, line_dash="dash", line_color="green", annotation_text="超賣線(-80)", row=2, col=1)
+        # 根據台股慣例修改顏色
+        fig.add_hline(y=-20, line_dash="dash", line_color="green", annotation_text="超買線(-20)", row=2, col=1)
+        fig.add_hline(y=-80, line_dash="dash", line_color="red", annotation_text="超賣線(-80)", row=2, col=1)
         fig.add_hline(y=-50, line_dash="dot", line_color="gray", annotation_text="中線(-50)", row=2, col=1)
 
         # 超買超賣區域
-        fig.add_hrect(y0=-20, y1=0, fillcolor="red", opacity=0.1, row=2, col=1)
-        fig.add_hrect(y0=-100, y1=-80, fillcolor="green", opacity=0.1, row=2, col=1)
+        # 根據台股慣例修改顏色
+        fig.add_hrect(y0=-20, y1=0, fillcolor="green", opacity=0.1, row=2, col=1)
+        fig.add_hrect(y0=-100, y1=-80, fillcolor="red", opacity=0.1, row=2, col=1)
 
         fig.update_layout(
             title=f'{stock_name} - 威廉指標 %R (14日)',
@@ -1172,12 +1178,13 @@ def update_analysis_text(selected_stock, period):
     d_current = data['D'].iloc[-1] if not pd.isna(data['D'].iloc[-1]) else 50
 
     # 技術面分析
+    # 根據台股慣例修改顏色
     technical_text = html.Div([
         html.P([
             html.Strong("價格趨勢："),
             f"近期{period}期間內，{stock_name}呈現",
             html.Span(f"{'上漲' if price_change > 5 else '下跌' if price_change < -5 else '盤整'}",
-                     style={'color': 'green' if price_change > 5 else 'red' if price_change < -5 else 'orange', 'font-weight': 'bold'}),
+                     style={'color': 'red' if price_change > 5 else 'green' if price_change < -5 else 'orange', 'font-weight': 'bold'}),
             f"走勢，累計變動{price_change:+.1f}%。"
         ]),
         html.P([
@@ -1185,7 +1192,7 @@ def update_analysis_text(selected_stock, period):
             f"目前為{rsi_current:.1f}，",
             html.Span(
                 "處於超買區間" if rsi_current > 70 else "處於超賣區間" if rsi_current < 30 else "在正常範圍內",
-                style={'color': 'red' if rsi_current > 70 else 'green' if rsi_current < 30 else 'blue', 'font-weight': 'bold'}
+                style={'color': 'green' if rsi_current > 70 else 'red' if rsi_current < 30 else 'blue', 'font-weight': 'bold'}
             ),
             "。"
         ]),
@@ -1194,7 +1201,7 @@ def update_analysis_text(selected_stock, period):
             f"MACD線({macd_current:.3f})",
             html.Span(
                 "高於" if macd_current > macd_signal_current else "低於",
-                style={'color': 'green' if macd_current > macd_signal_current else 'red', 'font-weight': 'bold'}
+                style={'color': 'red' if macd_current > macd_signal_current else 'green', 'font-weight': 'bold'}
             ),
             f"信號線({macd_signal_current:.3f})，",
             f"顯示{'多頭' if macd_current > macd_signal_current else '空頭'}格局。"
@@ -1204,7 +1211,7 @@ def update_analysis_text(selected_stock, period):
             f"股價位於通道",
             html.Span(
                 "上半部" if bb_position > 0.8 else "下半部" if bb_position < 0.2 else "中段",
-                style={'color': 'red' if bb_position > 0.8 else 'green' if bb_position < 0.2 else 'blue', 'font-weight': 'bold'}
+                style={'color': 'green' if bb_position > 0.8 else 'red' if bb_position < 0.2 else 'blue', 'font-weight': 'bold'}
             ),
             f"({bb_position*100:.0f}%)，",
             f"{'壓力較大' if bb_position > 0.8 else '支撐較強' if bb_position < 0.2 else '整理格局'}。"
@@ -1214,12 +1221,12 @@ def update_analysis_text(selected_stock, period):
             f"K值({k_current:.1f})",
             html.Span(
                 "高於" if k_current > d_current else "低於",
-                style={'color': 'green' if k_current > d_current else 'red', 'font-weight': 'bold'}
+                style={'color': 'red' if k_current > d_current else 'green', 'font-weight': 'bold'}
             ),
             f"D值({d_current:.1f})，",
             html.Span(
                 "超買警戒" if k_current > 80 else "超賣關注" if k_current < 20 else "正常區間",
-                style={'color': 'red' if k_current > 80 else 'green' if k_current < 20 else 'blue', 'font-weight': 'bold'}
+                style={'color': 'green' if k_current > 80 else 'red' if k_current < 20 else 'blue', 'font-weight': 'bold'}
             ),
             "。"
         ]),
@@ -1251,12 +1258,13 @@ def update_analysis_text(selected_stock, period):
     ])
 
     # 市場展望
+    # 根據台股慣例修改顏色
     if price_change > 10:
         outlook_tone = "謹慎樂觀"
-        outlook_color = "#28a745"
+        outlook_color = "#dc3545"
     elif price_change < -10:
         outlook_tone = "保守觀望"
-        outlook_color = "#dc3545"
+        outlook_color = "#28a745"
     else:
         outlook_tone = "中性持平"
         outlook_color = "#ffc107"
@@ -1306,8 +1314,9 @@ def update_pmi_chart(selected_stock):
         return fig
 
     # 定義PMI顏色 (50以上擴張，以下緊縮)
+    # 根據台股慣例修改顏色
     def get_pmi_color(value):
-        return 'green' if value >= 50 else 'red'
+        return 'red' if value >= 50 else 'green'
 
     colors = [get_pmi_color(value) for value in df['Index']]
 
@@ -1330,14 +1339,15 @@ def update_pmi_chart(selected_stock):
     fig.add_hline(y=50, line_dash="dash", line_color="black", annotation_text="榮枯線(50)")
 
     # 添加背景色區域
+    # 根據台股慣例修改顏色
     fig.add_hrect(
         y0=50, y1=60,
-        fillcolor="lightgreen", opacity=0.2,
+        fillcolor="lightcoral", opacity=0.2,
         annotation_text="擴張區間", annotation_position="top left"
     )
     fig.add_hrect(
         y0=40, y1=50,
-        fillcolor="lightcoral", opacity=0.2,
+        fillcolor="lightgreen", opacity=0.2,
         annotation_text="緊縮區間", annotation_position="bottom left"
     )
 
@@ -1468,7 +1478,8 @@ def update_comparison_analysis(selected_stocks, period):
     if comparison_data:
         table_rows = []
         for item in sorted(comparison_data, key=lambda x: x['return'], reverse=True):
-            color = 'green' if item['return'] > 0 else 'red'
+            # 根據台股慣例修改顏色
+            color = 'red' if item['return'] > 0 else 'green'
             table_rows.append(
                 html.Tr([
                     html.Td(item['name'], style={'font-weight': 'bold'}),
@@ -1509,6 +1520,7 @@ def update_sentiment_analysis(selected_stock):
     sentiment_score = np.random.uniform(30, 80)  # 模擬情緒分數 0-100
 
     # 建立情緒指標圓形圖
+    # 根據台股慣例修改顏色
     gauge_fig = go.Figure(go.Indicator(
         mode = "gauge+number+delta",
         value = sentiment_score,
@@ -1517,11 +1529,11 @@ def update_sentiment_analysis(selected_stock):
         delta = {'reference': 50},
         gauge = {
             'axis': {'range': [None, 100]},
-            'bar': {'color': "darkblue"},
+            'bar': {'color': "darkred"},
             'steps': [
-                {'range': [0, 30], 'color': "lightcoral"},
+                {'range': [0, 30], 'color': "lightgreen"},
                 {'range': [30, 70], 'color': "lightgray"},
-                {'range': [70, 100], 'color': "lightgreen"}
+                {'range': [70, 100], 'color': "lightcoral"}
             ],
             'threshold': {
                 'line': {'color': "red", 'width': 4},
@@ -1548,7 +1560,7 @@ def update_sentiment_analysis(selected_stock):
         html.P(news, style={
             'margin': '8px 0',
             'padding': '8px',
-            'background': '#e8f4f8',
+            'background': '#f8f9fa',
             'border-radius': '5px',
             'border-left': '3px solid #17a2b8',
             'font-size': '13px'