Update app.py

app.py

@@ -15,7 +15,8 @@ import warnings
 warnings.filterwarnings("ignore")
 
 
-def analyze_stock(symbol, prediction_days=30):
+# FUNGSI DIUBAH: Menerima history_period
+def analyze_stock(symbol, history_period, prediction_days=30):
     try:
         if not symbol.strip():
             raise ValueError("Please enter a valid stock symbol.")
@@ -24,10 +25,11 @@ def analyze_stock(symbol, prediction_days=30):
             symbol = symbol.upper() + ".JK"
 
         stock = yf.Ticker(symbol)
-        data = stock.history(period="6mo", interval="1d")
+        # MENGGUNAKAN history_period yang dipilih user
+        data = stock.history(period=history_period, interval="1d")
 
         if data.empty:
-            raise ValueError("No price data available for this stock.")
+            raise ValueError(f"No price data available for {history_period}.")
 
         indicators = calculate_technical_indicators(data)
         signals = generate_trading_signals(data, indicators)
@@ -38,7 +40,7 @@ def analyze_stock(symbol, prediction_days=30):
         fig_technical = create_technical_chart(data, indicators)
         fig_prediction = create_prediction_chart(data, predictions)
 
-        # kalkulasi TP1, TP2, SL
+        # kalkulasi TP1, TP2, SL menggunakan median (Q0.5)
         last_price = data['Close'].iloc[-1]
         tp1 = last_price * (1 + (predictions.get("change_pct", 0) / 200))
         tp2 = last_price * (1 + (predictions.get("change_pct", 0) / 100))
@@ -53,16 +55,20 @@ def analyze_stock(symbol, prediction_days=30):
     except Exception as e:
         print(f"Error analyzing {symbol}: {e}")
         empty_fig = gr.Plot.update(value=None)
+        # Pastikan error return juga mengandung q01 dan q09
         empty_predictions = {
             "high_30d": 0,
             "low_30d": 0,
             "change_pct": 0,
             "summary": "Prediction unavailable.",
+            "q01": [],
+            "q09": []
         }
         return {}, {}, {}, empty_fig, empty_fig, empty_fig, empty_predictions
 
 
-def update_analysis(symbol, prediction_days):
+# FUNGSI DIUBAH: Menerima history_period
+def update_analysis(symbol, history_period, prediction_days):
     (
         fundamental_info,
         indicators,
@@ -71,7 +77,7 @@ def update_analysis(symbol, prediction_days):
         fig_technical,
         fig_prediction,
         predictions,
-    ) = analyze_stock(symbol, prediction_days)
+    ) = analyze_stock(symbol, history_period, prediction_days) # Mengoper history_period
 
     if not fundamental_info:
         return (
@@ -107,12 +113,21 @@ def update_analysis(symbol, prediction_days):
     {details_list}
     </ul>
     """
+    
+    # Hitung Min/Max dari seluruh rentang kepercayaan (Q0.1 dan Q0.9)
+    band_min = float(min(predictions.get('q01', [0]))) if predictions.get('q01') else 0
+    band_max = float(max(predictions.get('q09', [0]))) if predictions.get('q09') else 0
 
     prediction = f"""
     <h4>30-DAY AI FORECAST (CHRONOS-2)</h4>
-    <b>Predicted High:</b> Rp{predictions.get('high_30d', 0):,.2f}<br>
-    <b>Predicted Low:</b> Rp{predictions.get('low_30d', 0):,.2f}<br>
-    <b>Expected Change:</b> {predictions.get('change_pct', 0):.2f}%<br><br>
+    <b>Predicted Median High:</b> Rp{predictions.get('high_30d', 0):,.2f}<br>
+    <b>Predicted Median Low:</b> Rp{predictions.get('low_30d', 0):,.2f}<br>
+    <b>Expected Change:</b> {predictions.get('change_pct', 0):.2f}%<br>
+    ---
+    <h4>RISK ANALYSIS (90% CONFIDENCE)</h4>
+    <b>Min. Possible Price:</b> Rp{band_min:,.2f}<br>
+    <b>Max. Possible Price:</b> Rp{band_max:,.2f}<br>
+    ---
     <b>TP1:</b> Rp{predictions.get('tp1', 0):,.2f}<br>
     <b>TP2:</b> Rp{predictions.get('tp2', 0):,.2f}<br>
     <b>Stop Loss:</b> Rp{predictions.get('sl', 0):,.2f}<br><br>
@@ -148,6 +163,13 @@ with gr.Blocks(
             placeholder="Example: BBCA, TLKM, ADRO, BMRI",
             interactive=True,
         )
+        # INPUT BARU: Kontrol Periode Data Historis
+        history_period_input = gr.Radio(
+            label="HISTORICAL DATA PERIOD",
+            choices=["6mo", "1y", "3y", "5y"],
+            value="3y",
+            interactive=True,
+        )
         prediction_days = gr.Slider(
             label="FORECAST PERIOD (DAYS)",
             minimum=5,
@@ -171,7 +193,7 @@ with gr.Blocks(
 
     analyze_button.click(
         fn=update_analysis,
-        inputs=[symbol, prediction_days],
+        inputs=[symbol, history_period_input, prediction_days], # Input diubah
         outputs=[report_section, price_chart, technical_chart, prediction_chart],
     )