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b5e2b02cb863b362ac3403ab10b9530b6bc5e38d
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6 Commits
Author SHA1 Message Date
Krikorios b5e2b02cb8 Reorganize UI for external trading workflow with manual trade logging 
- Restructure tabs to analysis-focused workflow:
  * Analysis Hub: AI analysis, risk management, manual trade logger
  * Daily Prep: Market summary, alerts, checklist, news, trading plan
  * Journal & Review: Trading journal, habit tracker, advanced analytics
  * Live Charts: Technical analysis with streaming charts

- Add ManualTradeLogger component for logging trades from MT5/TradingView/cTrader
- Remove execution-focused components (TradeControls, PortfolioTracker)
- Update XAU/USD price to realistic ,084.99
- Add indicator preferences and AI plan service
- Add comprehensive documentation on decision coverage and implementation
 2025-11-16 07:50:00 +02:00
Claude 73a26ea9b7 Add complete daily helper implementation summary 2025-11-15 23:16:10 +00:00
Claude ccb207af62 Implement Phase 2 and complete frontend integration 
Complete implementation of:

Phase 2 - Smart Notifications & Email Reports:
- EmailService with daily/weekly report generation
- HTML email templates for professional reports
- NotificationScheduler for intelligent delivery
- Automatic daily 5 PM reports
- Weekly reports every Friday at 6 PM
- Notification batching to avoid fatigue
- Old notification cleanup (auto-delete after 30 days)
- SmartNotificationOptimizer for timing

Frontend Integration:
- Added NotificationCenter to App.tsx header
- Created Daily Helper tab with all Phase 1 components
- Integrated UserProfileSetup modal
- Added DailyChecklistPanel for morning routine
- Added HabitTracker for habit management
- Responsive grid layout for all components
- Notification center shows unread badge

Database & Testing:
- create_phase1_tables.py migration script
- MIGRATION_INSTRUCTIONS.md with multiple options
- 40+ unit tests for Phase 1 models
- 50+ integration tests for Phase 1 API endpoints
- Error handling tests
- Validation tests

Documentation:
- FRONTEND_INTEGRATION_GUIDE.md with complete examples
- Component props documentation
- API endpoint reference
- Troubleshooting guide
- Customization examples

Features Complete:
- Daily P&L reports with HTML formatting
- Weekly performance summaries
- Trade statistics and metrics
- Habit streak tracking integration
- Checklist completion tracking
- Portfolio value reporting
- Best/worst trade identification
- Win rate and risk metrics
- User timezone awareness
- Smart notification scheduling

All components production-ready with:
- Error handling and user feedback
- Loading states and spinners
- Form validation
- Data persistence
- Real-time updates
- Mobile responsive design
 2025-11-15 23:15:23 +00:00
Claude 14a79cf4d6 Add Phase 1 implementation summary and documentation 2025-11-15 23:09:51 +00:00
Claude 31ece179d5 Add comprehensive daily helper enhancement plan 
This document outlines a 6-phase strategy to transform the Gold Trading
Simulator from an excellent trading platform into an efficient daily helper.
Includes detailed specifications for automation, notifications, data
persistence, mobile support, AI enhancements, and reporting.

- Phase 1: User profiles, routine automation, notifications, habit tracking
- Phase 2: Smart notification scheduling, email reports, SMS alerts
- Phase 3: Extended performance tracking, pattern recognition, lessons database
- Phase 4: Economic calendar integration, PWA support, widget system
- Phase 5: AI pattern recognition, predictive analytics, AI coach
- Phase 6: Advanced reporting, PDF/Excel exports, analytics dashboards

Estimated total effort: 12-15 weeks with recommended phased implementation.
Quick wins available in 1-2 weeks for immediate value.
 2025-11-15 23:04:46 +00:00
Krikorios 72c1d3adb7 Initial commit: Gold Trading Simulator with AI-powered analysis 2025-11-16 00:50:04 +02:00