Spaces:
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Running
Update app.py
Browse files
app.py
CHANGED
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@@ -38,6 +38,16 @@ def analyze_stock(symbol, prediction_days=30):
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fig_technical = create_technical_chart(data, indicators)
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fig_prediction = create_prediction_chart(data, predictions)
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return fundamental_info, indicators, signals, fig_price, fig_technical, fig_prediction, predictions
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except Exception as e:
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@@ -67,60 +77,61 @@ def update_analysis(symbol, prediction_days):
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return (
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"Unable to fetch stock data.",
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"No technical signals available.",
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gr.Plot.update(value=None),
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gr.Plot.update(value=None),
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gr.Plot.update(value=None),
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"0",
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"0",
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"0",
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"No prediction data available.",
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)
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fundamentals = f"""
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<h4>COMPANY FUNDAMENTALS</h4>
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<b>Name:</b> {fundamental_info.get('name', 'N/A')} ({symbol.upper()})<br>
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<b>Current Price:</b> Rp{fundamental_info.get('current_price', 0):,.2f}<br>
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<b>Market Cap:</b> {fundamental_info.get('market_cap', 0):,}<br>
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<b>P/E Ratio:</b> {fundamental_info.get('pe_ratio', 0):.2f}<br>
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<b>Dividend Yield:</b> {fundamental_info.get('dividend_yield', 0):.2f}%<br>
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<b>Volume:</b> {fundamental_info.get('volume', 0):,}<br>
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"""
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details_list = "".join(
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[f"<li>{line.strip()}</li>" for line in signals.get("details", "").split("\n") if line.strip()]
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)
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trading_signal = f"""
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<h4>TECHNICAL SIGNAL SUMMARY</h4>
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<b>Overall Trend:</b> {signals.get('overall', 'N/A')}<br>
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<b>Signal Strength:</b> {signals.get('strength', 0):.2f}%<br>
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<b>Support:</b> Rp{signals.get('support', 0):,.2f}<br>
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<b>Resistance:</b> Rp{signals.get('resistance', 0):,.2f}<br>
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<b>Stop Loss:</b> Rp{signals.get('stop_loss', 0):,.2f}<br><br>
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<b>Detailed Signals:</b>
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<ul style="margin-top: 8px; padding-left: 20px; line-height: 1.6;">
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{details_list}
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</ul>
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"""
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prediction = f"""
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<h4>30-DAY AI FORECAST (CHRONOS-BOLT)</h4>
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<b>Predicted High:</b> Rp{predictions.get('high_30d', 0):,.2f}<br>
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<b>Predicted Low:</b> Rp{predictions.get('low_30d', 0):,.2f}<br>
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<b>Expected Change:</b> {predictions.get('change_pct', 0):.2f}%<br><br>
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<b>
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return (
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-
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-
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fig_price,
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fig_technical,
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fig_prediction,
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f"{predictions.get('high_30d', 0):,.2f}",
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f"{predictions.get('low_30d', 0):,.2f}",
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f"{predictions.get('change_pct', 0):.2f}%",
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prediction,
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)
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@@ -145,12 +156,6 @@ with gr.Blocks(
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font-weight: 600;
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margin-bottom: 6px;
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}
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.gr-markdown {
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background-color: #ffffff;
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border-radius: 10px;
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border: 1px solid #e2e8f0;
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padding: 16px;
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}
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.gr-button {
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background-color: #2563eb !important;
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color: white !important;
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@@ -158,31 +163,33 @@ with gr.Blocks(
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border-radius: 8px;
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padding: 10px 18px;
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}
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.
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background-color: #ffffff
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border: 1px solid #
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}
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}
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.gr-plot {
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background-color: #ffffff;
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border: 1px solid #e2e8f0;
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border-radius: 10px;
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}
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ul {
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margin: 0;
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padding: 0 0 0 18px;
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}
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li {
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margin-bottom: 4px;
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}
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""",
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) as app:
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gr.Markdown("# REXPRO FINANCIAL AI DASHBOARD")
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gr.Markdown(
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"
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)
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with gr.Row():
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@@ -203,13 +210,7 @@ with gr.Blocks(
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analyze_button = gr.Button("RUN ANALYSIS")
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gr.Markdown("---")
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with gr.Row():
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with gr.Column(scale=1):
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fundamentals_output = gr.HTML()
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with gr.Column(scale=1):
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signal_output = gr.HTML()
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gr.Markdown("---")
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with gr.Tab("MARKET CHARTS"):
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@@ -219,28 +220,10 @@ with gr.Blocks(
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gr.Markdown("---")
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prediction_chart = gr.Plot(label="AI FORECAST PROJECTION")
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with gr.Tab("AI FORECAST SUMMARY"):
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with gr.Row():
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predicted_high = gr.Textbox(label="PREDICTED HIGH (30D)", interactive=False)
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predicted_low = gr.Textbox(label="PREDICTED LOW (30D)", interactive=False)
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predicted_change = gr.Textbox(label="EXPECTED CHANGE (%)", interactive=False)
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gr.Markdown("---")
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prediction_summary = gr.HTML()
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analyze_button.click(
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fn=update_analysis,
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inputs=[symbol, prediction_days],
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outputs=[
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fundamentals_output,
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signal_output,
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price_chart,
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technical_chart,
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prediction_chart,
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predicted_high,
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predicted_low,
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predicted_change,
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prediction_summary,
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],
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)
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if __name__ == "__main__":
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fig_technical = create_technical_chart(data, indicators)
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fig_prediction = create_prediction_chart(data, predictions)
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# kalkulasi TP1, TP2, SL
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last_price = data['Close'].iloc[-1]
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tp1 = last_price * (1 + (predictions.get("change_pct", 0) / 200))
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tp2 = last_price * (1 + (predictions.get("change_pct", 0) / 100))
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sl = last_price * 0.95
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predictions["tp1"] = tp1
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predictions["tp2"] = tp2
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predictions["sl"] = sl
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return fundamental_info, indicators, signals, fig_price, fig_technical, fig_prediction, predictions
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except Exception as e:
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return (
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"Unable to fetch stock data.",
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"No technical signals available.",
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"No prediction data available.",
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gr.Plot.update(value=None),
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gr.Plot.update(value=None),
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gr.Plot.update(value=None),
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)
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fundamentals = f"""
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<h4>COMPANY FUNDAMENTALS</h4>
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<b>Name:</b> {fundamental_info.get('name', 'N/A')} ({symbol.upper()})<br>
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<b>Current Price:</b> Rp{fundamental_info.get('current_price', 0):,.2f}<br>
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<b>Market Cap:</b> {fundamental_info.get('market_cap', 0):,}<br>
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<b>P/E Ratio:</b> {fundamental_info.get('pe_ratio', 0):.2f}<br>
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<b>Dividend Yield:</b> {fundamental_info.get('dividend_yield', 0):.2f}%<br>
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<b>Volume:</b> {fundamental_info.get('volume', 0):,}<br>
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"""
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details_list = "".join(
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[f"<li>{line.strip()}</li>" for line in signals.get("details", "").split("\n") if line.strip()]
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)
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trading_signal = f"""
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<h4>TECHNICAL SIGNAL SUMMARY</h4>
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<b>Overall Trend:</b> {signals.get('overall', 'N/A')}<br>
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<b>Signal Strength:</b> {signals.get('strength', 0):.2f}%<br>
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<b>Support:</b> Rp{signals.get('support', 0):,.2f}<br>
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<b>Resistance:</b> Rp{signals.get('resistance', 0):,.2f}<br>
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<b>Stop Loss:</b> Rp{signals.get('stop_loss', 0):,.2f}<br><br>
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<b>Detailed Signals:</b>
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<ul style="margin-top: 8px; padding-left: 20px; line-height: 1.6;">
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{details_list}
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</ul>
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"""
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prediction = f"""
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<h4>30-DAY AI FORECAST (CHRONOS-BOLT)</h4>
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<b>Predicted High:</b> Rp{predictions.get('high_30d', 0):,.2f}<br>
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<b>Predicted Low:</b> Rp{predictions.get('low_30d', 0):,.2f}<br>
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<b>Expected Change:</b> {predictions.get('change_pct', 0):.2f}%<br><br>
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<b>TP1:</b> Rp{predictions.get('tp1', 0):,.2f}<br>
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<b>TP2:</b> Rp{predictions.get('tp2', 0):,.2f}<br>
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<b>Stop Loss:</b> Rp{predictions.get('sl', 0):,.2f}<br><br>
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<b>Model Insight:</b><br>{predictions.get('summary', 'No analysis available')}
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"""
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return (
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f"""
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<div class='triple-panel'>
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<div class='panel-box'>{fundamentals}</div>
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<div class='panel-box'>{trading_signal}</div>
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<div class='panel-box'>{prediction}</div>
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</div>
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""",
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fig_price,
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fig_technical,
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fig_prediction,
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)
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font-weight: 600;
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margin-bottom: 6px;
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}
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.gr-button {
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background-color: #2563eb !important;
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color: white !important;
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border-radius: 8px;
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padding: 10px 18px;
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}
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.panel-box {
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background-color: #ffffff;
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border-radius: 10px;
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border: 1px solid #e2e8f0;
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padding: 16px;
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flex: 1;
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min-width: 30%;
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}
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.triple-panel {
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display: flex;
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flex-direction: row;
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justify-content: space-between;
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gap: 16px;
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width: 100%;
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}
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ul { margin: 0; padding: 0 0 0 18px; }
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li { margin-bottom: 4px; }
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.gr-plot {
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background-color: #ffffff;
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border: 1px solid #e2e8f0;
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border-radius: 10px;
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}
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""",
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) as app:
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gr.Markdown("# REXPRO FINANCIAL AI DASHBOARD")
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gr.Markdown(
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"Comprehensive stock analytics powered by **AI forecasting and technical analysis.**"
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)
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with gr.Row():
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analyze_button = gr.Button("RUN ANALYSIS")
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gr.Markdown("---")
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report_section = gr.HTML()
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gr.Markdown("---")
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with gr.Tab("MARKET CHARTS"):
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gr.Markdown("---")
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prediction_chart = gr.Plot(label="AI FORECAST PROJECTION")
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analyze_button.click(
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fn=update_analysis,
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inputs=[symbol, prediction_days],
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outputs=[report_section, price_chart, technical_chart, prediction_chart],
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)
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if __name__ == "__main__":
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