feat: Add Phase 4 advanced metrics and components
- Add advanced metrics dashboard with trade analytics - Add new trading components (EntryTypeAnalysis, MultiDayPositionTracker, NewsEventTracker, etc.) - Add strategy mode selector and trend confirmation - Add risk automation panel and slippage correlation analysis - Add daily trading plan enhancements with modal components - Add custom hooks (useApi, useLocalStorage, useAdvancedTradeMetrics) - Add broker service integration and trading API - Add test setup and vitest configuration - Include parquet data files for live market data - Add comprehensive documentation in docs/ folder
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Krikorios
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#!/usr/bin/env python3
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"""
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Comprehensive test for improved OpenRouter prompts
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Tests both AI analysis and trading plan generation with gold-specific prompts
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"""
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import asyncio
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import sys
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import os
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sys.path.insert(0, os.path.dirname(__file__))
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from app.services.openrouter import openrouter_service
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from app.schemas.schemas import AIAnalysisRequest, PriceData
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async def test_ai_analysis():
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"""Test improved AI analysis with gold-specific prompts"""
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print("\n" + "="*70)
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print("TEST 1: AI SCENARIO ANALYSIS (Improved Prompt)")
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print("="*70)
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# Create sample price data (time is Unix timestamp)
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import time as time_module
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base_time = int(time_module.time()) - (5 * 86400) # 5 days ago
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price_data = [
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PriceData(time=base_time, open=2040.0, high=2055.0, low=2038.0, close=2052.0, volume=10000),
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PriceData(time=base_time + 86400, open=2052.0, high=2060.0, low=2048.0, close=2058.0, volume=12000),
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PriceData(time=base_time + 2*86400, open=2058.0, high=2065.0, low=2055.0, close=2062.0, volume=11000),
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PriceData(time=base_time + 3*86400, open=2062.0, high=2068.0, low=2059.0, close=2064.0, volume=13000),
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PriceData(time=base_time + 4*86400, open=2064.0, high=2070.0, low=2061.0, close=2067.0, volume=14000),
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]
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# Create analysis request
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request = AIAnalysisRequest(
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current_price=2067.50,
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price_data=price_data,
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indicators=[
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{"name": "RSI_14", "value": 62.5},
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{"name": "MACD", "value": 2.3, "signal": 1.8, "histogram": 0.5},
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{"name": "EMA_20", "value": 2058.0},
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{"name": "EMA_50", "value": 2048.0},
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{"name": "ATR_14", "value": 12.5},
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{"name": "Volume_Trend", "value": "Increasing"}
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]
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)
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try:
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print("\n📊 Analyzing gold market with enhanced prompts...")
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print(f"Current Price: ${request.current_price:.2f}")
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print(f"Technical Setup: Bullish trend, RSI at 62.5, MACD positive")
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print("\nSending request to OpenRouter API...")
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response = await openrouter_service.analyze_scenario(request)
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print("\n✅ Analysis Complete!")
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print("\n" + "-"*70)
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print(f"Recommendation: {response.recommendation.value}")
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print(f"Confidence: {response.confidence:.1f}%")
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print(f"Risk Level: {response.risk_level.value}")
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print(f"\nReasoning:\n{response.reasoning}")
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print(f"\nSupport Levels: {', '.join([f'${x:.2f}' for x in response.support_resistance.support])}")
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print(f"Resistance Levels: {', '.join([f'${x:.2f}' for x in response.support_resistance.resistance])}")
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print("-"*70)
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return True
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except Exception as e:
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print(f"\n❌ ERROR: {str(e)}")
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import traceback
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traceback.print_exc()
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return False
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async def test_trading_plan_generation():
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"""Test improved trading plan generation with comprehensive gold prompts"""
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print("\n" + "="*70)
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print("TEST 2: DAILY TRADING PLAN GENERATION (Enhanced Prompt)")
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print("="*70)
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# Create a comprehensive trading plan prompt
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test_prompt = """You are a senior gold (XAU/USD) trading strategist with expertise in precious metals markets, technical analysis, and professional risk management. Generate a comprehensive daily trading plan for a gold trader based on current market conditions.
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═══════════════════════════════════════════════════════════
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TRADER'S PROFILE & ACCOUNT:
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═══════════════════════════════════════════════════════════
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- Current Gold Price: $2,067.50
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- Risk Tolerance: MODERATE
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- Available Trading Capital: $10,000
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═══════════════════════════════════════════════════════════
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PREFERRED TECHNICAL ANALYSIS FRAMEWORK:
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═══════════════════════════════════════════════════════════
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Primary Indicators: RSI, MACD, Moving Averages (EMA 20/50), ATR
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DETAILED INDICATOR CONFIGURATION:
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- RSI (14): Currently at 62.5 (trending higher)
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- MACD: Bullish crossover (2.3 / 1.8 / +0.5)
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- EMA 20: $2,058.00 (price above)
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- EMA 50: $2,048.00 (price above)
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- ATR (14): $12.50 (average volatility)
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RECENT PRICE ACTION (last 5 periods):
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1. Open: $2,040.00, High: $2,055.00, Low: $2,038.00, Close: $2,052.00
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2. Open: $2,052.00, High: $2,060.00, Low: $2,048.00, Close: $2,058.00
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3. Open: $2,058.00, High: $2,065.00, Low: $2,055.00, Close: $2,062.00
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4. Open: $2,062.00, High: $2,068.00, Low: $2,059.00, Close: $2,064.00
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5. Open: $2,064.00, High: $2,070.00, Low: $2,061.00, Close: $2,067.00
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Generate a professional trading plan following the comprehensive format requested.
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"""
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try:
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print("\n📈 Generating daily trading plan with enhanced prompts...")
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print("Trader Profile: $10K capital, MODERATE risk tolerance")
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print("Market Conditions: Bullish trend, strong momentum")
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print("\nSending request to OpenRouter API...")
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plan = await openrouter_service.generate_trading_plan(test_prompt)
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print("\n✅ Trading Plan Generated!")
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print(f"\nRaw response type: {type(plan)}")
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print(f"Raw response: {plan}")
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print("\n" + "-"*70)
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print(f"Market Bias: {plan.get('market_bias', 'N/A')}")
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print(f"Confidence: {plan.get('confidence', 0):.1f}%")
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print(f"Daily Target: ${plan.get('daily_target', 0):.2f}")
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print(f"Max Loss: ${plan.get('max_loss', 0):.2f}")
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print(f"\nEntry Zone: ${plan.get('entry_zone_min', 0):.2f} - ${plan.get('entry_zone_max', 0):.2f}")
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print(f"Target Price: ${plan.get('target_price', 0):.2f}")
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print(f"Stop Loss: ${plan.get('stop_loss', 0):.2f}")
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print(f"\nSupport Levels:")
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for i, level in enumerate(plan.get('support_levels', []), 1):
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print(f" {i}. ${level:.2f}")
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print(f"\nResistance Levels:")
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for i, level in enumerate(plan.get('resistance_levels', []), 1):
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print(f" {i}. ${level:.2f}")
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print(f"\nMax Trades: {plan.get('max_trades', 0)}")
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print(f"\nTrading Notes:\n{plan.get('trading_notes', 'N/A')}")
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print(f"\nDetailed Reasoning:\n{plan.get('reasoning', 'N/A')}")
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print("-"*70)
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return True
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except Exception as e:
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print(f"\n❌ ERROR: {str(e)}")
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import traceback
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traceback.print_exc()
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return False
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async def main():
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"""Run all tests"""
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print("\n" + "="*70)
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print("OPENROUTER API - GOLD TRADING PROMPTS TEST SUITE")
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print("="*70)
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print(f"API Key: {'✓ Set' if openrouter_service.api_key else '✗ Not Set'}")
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print(f"Model: {openrouter_service.model}")
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print(f"Base URL: {openrouter_service.base_url}")
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if not openrouter_service.api_key:
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print("\n❌ ERROR: OPENROUTER_API_KEY not set")
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return False
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# Run tests
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test1_passed = await test_ai_analysis()
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test2_passed = await test_trading_plan_generation()
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# Summary
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print("\n" + "="*70)
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print("TEST SUMMARY")
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print("="*70)
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print(f"AI Scenario Analysis: {'✅ PASSED' if test1_passed else '❌ FAILED'}")
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print(f"Trading Plan Generation: {'✅ PASSED' if test2_passed else '❌ FAILED'}")
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print("="*70)
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return test1_passed and test2_passed
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if __name__ == "__main__":
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success = asyncio.run(main())
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sys.exit(0 if success else 1)
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