StockmarketR1

.env

@@ -1,3 +0,0 @@
-# Add your OpenAI API key for AI insights
-OPENAI_API_KEY=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
-

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.hf_cache_clear

@@ -1 +0,0 @@
-touch .hf_cache_clear

README.md

@@ -1,30 +1,12 @@
 ---
-title: NSE F&O AI Analyzer
-emoji: 📈
-colorFrom: blue
-colorTo: purple
+title: StockMarketOptionAnalyzer
+emoji: 🐨
+colorFrom: yellow
+colorTo: red
 sdk: gradio
-sdk_version: 3.50.2
+sdk_version: 6.0.1
 app_file: app.py
 pinned: false
-license: mit
 ---
 
-# NSE F&O AI Analyzer
-
-Professional options trading analysis platform.
-
-## Features
-- Market analysis
-- Trading strategy recommendations
-- Risk management guidance
-
-## Quick Start
-1. Open the app
-2. Generate market analysis
-3. Get trading strategies
-
-## Technical
-- Built with Gradio 3.50.2
-- Stable and compatible version
-- No dependency conflicts
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -1,176 +0,0 @@
-"""
-NSE F&O Analyzer Application
-"""
-
-import gradio as gr
-import logging
-import traceback
-import os
-import sys
-
-# Add nse_modules to path
-sys.path.append(os.path.join(os.path.dirname(__file__), 'nse_modules'))
-
-# Configure logging
-logging.basicConfig(
-    level=logging.INFO,
-    format='%(asctime)s - %(levelname)s - %(message)s'
-)
-logger = logging.getLogger(__name__)
-
-class NSEAnalyzerApp:
-    def __init__(self):
-        print("🟡 Starting NSE Analyzer App init...")
-        
-        try:
-            # Import NSE modules
-            print("🟡 Importing NSE modules...")
-            from nse_modules.single_day_download import SingleDayDownload
-            from nse_modules.batch_download import BatchDownload
-            from nse_modules.data_summary import DataSummary
-            from nse_modules.ai_analysis import AIAnalysis, run_ai_analysis
-            
-            # Initialize NSE modules
-            self.single_day_download = SingleDayDownload()
-            self.batch_download = BatchDownload()
-            self.data_summary = DataSummary()
-            self.AIAnalysis = AIAnalysis  # Store class reference
-            self.run_ai_analysis = run_ai_analysis  # Store function reference
-
-            print("🟡 Creating interface...")
-            self.interface = self.create_interface()
-            print("🟢 Interface created successfully")
-            # In your NSEAnalyzerApp.__init__() method, add:
-            import os
-            print(f"📁 Current working directory: {os.getcwd()}")
-            print(f"📁 Contents of current directory: {os.listdir('.')}")
-            print(f"📁 /data directory exists: {os.path.exists('/data')}")
-            if os.path.exists('/data'):
-                print(f"📁 Contents of /data: {os.listdir('/data')}")
-            
-        except Exception as e:
-            print(f"🔴 Error during initialization: {e}")
-            print(f"🔴 Traceback: {traceback.format_exc()}")
-            self.interface = self.create_fallback_interface()
-    
-    def create_fallback_interface(self):
-        """Create fallback interface"""
-        with gr.Blocks(title="NSE Analyzer - Fallback") as interface:
-            gr.Markdown("# ⚠️ NSE F&O Analyzer - Fallback Mode")
-            gr.Markdown("There was an error initializing the application. Please check the logs.")
-        return interface
-    
-    def create_interface(self):
-        """Create main Gradio interface"""
-        with gr.Blocks(
-            title="Divya Shah - AI Strategies for Option Sellers", 
-            theme=gr.themes.Soft(),
-            css="""
-            .gradio-container {max-width: 1200px !important}
-            .brand-header {
-                background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
-                padding: 25px;
-                border-radius: 15px;
-                color: white;
-                text-align: center;
-                margin-bottom: 20px;
-            }
-            """
-        ) as interface:
-            
-            # Your branded header
-            gr.Markdown("""
-            <div class="brand-header">
-            <h1 style="margin: 0 0 10px 0; font-size: 2.8em;">🤖 NSE F&O AI ANALYZER</h1>
-            <h2 style="margin: 0 0 8px 0; color: #ffd700;">Divya Shah</h2>
-            <h3 style="margin: 0; opacity: 0.9;">AI Strategies for Option Sellers</h3>
-            <p style="margin: 15px 0 0 0; font-size: 16px; opacity: 0.8;">
-            Professional Options Trading Analysis Platform
-            </p>
-            </div>
-            """)
-            
-            gr.Markdown("### Download and analyze NSE Futures & Options data")
-            
-            # NSE Single Day Download Tab
-            with gr.Tab("📥 Single Day Download"):
-                self.single_day_download.create_interface()
-            
-            # NSE Batch Download Tab
-            with gr.Tab("📈 Batch Download"):
-                self.batch_download.create_interface()
-            
-            # NSE Data Summary Tab
-            with gr.Tab("📊 Data Summary"):
-                self.data_summary.create_interface()
-            
-            # NSE AI Analysis Tab
-            with gr.Tab("🤖 AI Analysis"):
-                gr.Markdown("# 🤖 Enhanced AI Analysis - NIFTY Strategies")
-                gr.Markdown("Advanced analysis with historical data and AI-powered recommendations")
-                
-                with gr.Row():
-                    analysis_type = gr.Dropdown(
-                        label="Analysis Type",
-                        choices=[
-                            "comprehensive", 
-                            "option_selling", 
-                            "historical", 
-                            "basic"
-                        ],
-                        value="comprehensive",
-                        info="Comprehensive includes all analyses"
-                    )
-                    risk_level = gr.Dropdown(
-                        label="Risk Level",
-                        choices=["conservative", "moderate", "aggressive"],
-                        value="moderate"
-                    )
-                
-                with gr.Row():
-                    analyze_btn = gr.Button("🚀 Run Enhanced Analysis", variant="primary")
-                    ai_analyze_btn = gr.Button("🧠 Get AI Recommendations", variant="secondary")
-                
-                output = gr.Textbox(
-                    label="Analysis Results",
-                    lines=30,
-                    max_lines=100,
-                    show_copy_button=True
-                )
-                
-                def analyze_enhanced_strategy(analysis_type, risk_level):
-                    try:
-                        return self.run_ai_analysis(risk_level, analysis_type)
-                    except Exception as e:
-                        return f"❌ Error during analysis: {str(e)}\n\n{traceback.format_exc()}"
-                
-                def get_ai_recommendations():
-                    try:
-                        analyzer = self.AIAnalysis()
-                        analyzer.load_data()
-                        return analyzer.get_openai_strategy_recommendation(analyzer.nifty_data)
-                    except Exception as e:
-                        return f"❌ Error getting AI recommendations: {str(e)}"
-                
-                analyze_btn.click(
-                    fn=analyze_enhanced_strategy,
-                    inputs=[analysis_type, risk_level],
-                    outputs=output
-                )
-                
-                ai_analyze_btn.click(
-                    fn=get_ai_recommendations,
-                    inputs=[],
-                    outputs=output
-                )
-                    
-        return interface
-    
-    def launch(self, **kwargs):
-        """Launch the application"""
-        logger.info("🚀 Starting NSE F&O Analyzer...")
-        return self.interface.launch(**kwargs)
-
-if __name__ == "__main__":
-    app = NSEAnalyzerApp()
-    app.launch()

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-oid sha256:80823ce40c3c9772d46c821e95fefaff371115f2f01535a4757dec1d2f525fa5
-size 979842

nse_derivatives_data/BhavCopy_NSE_FO_20251128.zip

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:7e501e3d32dde33c00ae953395361c49fb12f9cc3e428bfe123645676a4cac57
-size 987864

nse_modules/__init__.py

@@ -1,27 +0,0 @@
-"""
-NSE Modules Package
-NSE Futures & Options Data Analysis Modules
-"""
-
-from .single_day_download import SingleDayDownload
-from .batch_download import BatchDownload
-from .data_summary import DataSummary
-from .ai_analysis import AIAnalysis
-
-__version__ = "1.1.0"
-__author__ = "NSE Analyzer"
-__description__ = "NSE F&O Data Download and Analysis Modules"
-
-__all__ = [
-    'SingleDayDownload',
-    'BatchDownload', 
-    'DataSummary',
-    'AIAnalysis'
-]
-
-# Package initialization message
-print("📊 NSE F&O Analyzer Modules Loaded")
-print("✅ Single Day Download")
-print("✅ Batch Download") 
-print("✅ Data Summary (with Stock Filter & Nifty Table)")
-print("✅ AI Analysis")