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| import gradio as gr | |
| import pandas as pd | |
| import yfinance as yf | |
| from utils import ( | |
| calculate_technical_indicators, | |
| generate_trading_signals, | |
| get_fundamental_data, | |
| predict_prices, | |
| create_price_chart, | |
| create_technical_chart, | |
| create_prediction_chart, | |
| ) | |
| import warnings | |
| warnings.filterwarnings("ignore") | |
| def analyze_stock(symbol, prediction_days=30): | |
| try: | |
| if not symbol.strip(): | |
| raise ValueError("Please enter a valid stock symbol.") | |
| if not symbol.endswith(".JK"): | |
| symbol = symbol.upper() + ".JK" | |
| stock = yf.Ticker(symbol) | |
| data = stock.history(period="6mo", interval="1d") | |
| if data.empty: | |
| raise ValueError("No price data available for this stock.") | |
| indicators = calculate_technical_indicators(data) | |
| signals = generate_trading_signals(data, indicators) | |
| fundamental_info = get_fundamental_data(stock) | |
| predictions = predict_prices(data, prediction_days=prediction_days) | |
| fig_price = create_price_chart(data, indicators) | |
| fig_technical = create_technical_chart(data, indicators) | |
| fig_prediction = create_prediction_chart(data, predictions) | |
| # kalkulasi TP1, TP2, SL | |
| 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)) | |
| sl = last_price * 0.95 | |
| predictions["tp1"] = tp1 | |
| predictions["tp2"] = tp2 | |
| predictions["sl"] = sl | |
| return fundamental_info, indicators, signals, fig_price, fig_technical, fig_prediction, predictions | |
| except Exception as e: | |
| print(f"Error analyzing {symbol}: {e}") | |
| empty_fig = gr.Plot.update(value=None) | |
| empty_predictions = { | |
| "high_30d": 0, | |
| "low_30d": 0, | |
| "change_pct": 0, | |
| "summary": "Prediction unavailable.", | |
| } | |
| return {}, {}, {}, empty_fig, empty_fig, empty_fig, empty_predictions | |
| def update_analysis(symbol, prediction_days): | |
| ( | |
| fundamental_info, | |
| indicators, | |
| signals, | |
| fig_price, | |
| fig_technical, | |
| fig_prediction, | |
| predictions, | |
| ) = analyze_stock(symbol, prediction_days) | |
| if not fundamental_info: | |
| return ( | |
| "Unable to fetch stock data.", | |
| "No technical signals available.", | |
| "No prediction data available.", | |
| gr.Plot.update(value=None), | |
| gr.Plot.update(value=None), | |
| gr.Plot.update(value=None), | |
| ) | |
| fundamentals = f""" | |
| <h4>COMPANY FUNDAMENTALS</h4> | |
| <b>Name:</b> {fundamental_info.get('name', 'N/A')} ({symbol.upper()})<br> | |
| <b>Current Price:</b> Rp{fundamental_info.get('current_price', 0):,.2f}<br> | |
| <b>Market Cap:</b> {fundamental_info.get('market_cap', 0):,}<br> | |
| <b>P/E Ratio:</b> {fundamental_info.get('pe_ratio', 0):.2f}<br> | |
| <b>Dividend Yield:</b> {fundamental_info.get('dividend_yield', 0):.2f}%<br> | |
| <b>Volume:</b> {fundamental_info.get('volume', 0):,}<br> | |
| """ | |
| details_list = "".join( | |
| [f"<li>{line.strip()}</li>" for line in signals.get("details", "").split("\n") if line.strip()] | |
| ) | |
| trading_signal = f""" | |
| <h4>TECHNICAL SIGNAL SUMMARY</h4> | |
| <b>Overall Trend:</b> {signals.get('overall', 'N/A')}<br> | |
| <b>Signal Strength:</b> {signals.get('strength', 0):.2f}%<br> | |
| <b>Support:</b> Rp{signals.get('support', 0):,.2f}<br> | |
| <b>Resistance:</b> Rp{signals.get('resistance', 0):,.2f}<br> | |
| <b>Stop Loss:</b> Rp{signals.get('stop_loss', 0):,.2f}<br><br> | |
| <b>Detailed Signals:</b> | |
| <ul style="margin-top: 8px; padding-left: 20px; line-height: 1.6;"> | |
| {details_list} | |
| </ul> | |
| """ | |
| prediction = f""" | |
| <h4>30-DAY AI FORECAST (CHRONOS-BOLT)</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>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> | |
| <b>Model Insight:</b><br>{predictions.get('summary', 'No analysis available')} | |
| """ | |
| return ( | |
| f""" | |
| <div class='triple-panel'> | |
| <div class='panel-box'>{fundamentals}</div> | |
| <div class='panel-box'>{trading_signal}</div> | |
| <div class='panel-box'>{prediction}</div> | |
| </div> | |
| """, | |
| fig_price, | |
| fig_technical, | |
| fig_prediction, | |
| ) | |
| with gr.Blocks( | |
| title="REXPRO FINANCIAL AI DASHBOARD", | |
| theme=gr.themes.Soft(primary_hue="blue", secondary_hue="gray"), | |
| css=""" | |
| @import url('https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700&display=swap'); | |
| body { | |
| background-color: #f9fafb; | |
| color: #1e293b; | |
| font-family: 'Inter', 'Segoe UI', Arial, sans-serif; | |
| } | |
| h1 { | |
| color: #1e40af; | |
| text-align: center; | |
| font-weight: 700; | |
| letter-spacing: 0.5px; | |
| } | |
| h2, h3, h4 { | |
| color: #1e3a8a; | |
| font-weight: 600; | |
| margin-bottom: 6px; | |
| } | |
| .gr-button { | |
| background-color: #2563eb !important; | |
| color: white !important; | |
| font-weight: 600; | |
| border-radius: 8px; | |
| padding: 10px 18px; | |
| } | |
| .panel-box { | |
| background-color: #ffffff; | |
| border-radius: 10px; | |
| border: 1px solid #e2e8f0; | |
| padding: 16px; | |
| flex: 1; | |
| min-width: 30%; | |
| } | |
| .triple-panel { | |
| display: flex; | |
| flex-direction: row; | |
| justify-content: space-between; | |
| gap: 16px; | |
| width: 100%; | |
| } | |
| ul { margin: 0; padding: 0 0 0 18px; } | |
| li { margin-bottom: 4px; } | |
| .gr-plot { | |
| background-color: #ffffff; | |
| border: 1px solid #e2e8f0; | |
| border-radius: 10px; | |
| } | |
| """, | |
| ) as app: | |
| gr.Markdown("# REXPRO FINANCIAL AI DASHBOARD") | |
| gr.Markdown( | |
| "Comprehensive stock analytics powered by **AI forecasting and technical analysis.**" | |
| ) | |
| with gr.Row(): | |
| symbol = gr.Textbox( | |
| label="STOCK SYMBOL (IDX)", | |
| value="BBCA", | |
| placeholder="Example: BBCA, TLKM, ADRO, BMRI", | |
| interactive=True, | |
| ) | |
| prediction_days = gr.Slider( | |
| label="FORECAST PERIOD (DAYS)", | |
| minimum=5, | |
| maximum=60, | |
| step=5, | |
| value=30, | |
| interactive=True, | |
| ) | |
| analyze_button = gr.Button("RUN ANALYSIS") | |
| gr.Markdown("---") | |
| report_section = gr.HTML() | |
| gr.Markdown("---") | |
| with gr.Tab("MARKET CHARTS"): | |
| with gr.Row(): | |
| price_chart = gr.Plot(label="PRICE & MOVING AVERAGES") | |
| technical_chart = gr.Plot(label="TECHNICAL INDICATORS OVERVIEW") | |
| gr.Markdown("---") | |
| prediction_chart = gr.Plot(label="AI FORECAST PROJECTION") | |
| analyze_button.click( | |
| fn=update_analysis, | |
| inputs=[symbol, prediction_days], | |
| outputs=[report_section, price_chart, technical_chart, prediction_chart], | |
| ) | |
| if __name__ == "__main__": | |
| app.launch(server_name="0.0.0.0", server_port=7860, ssr_mode=True) | |