Complete implementation of Phase 1 enhancements including:
Backend:
- UserProfile model for storing user preferences (timezone, trading style, risk tolerance)
- DailyRoutine model for scheduling routines (morning, active_trading, evening)
- RoutineExecution model for tracking routine execution history
- Notification model for managing all types of notifications
- DailyChecklist model for daily task tracking with completion percentage
- HabitTracker model for tracking habits and streaks
Services:
- RoutineService: Handles routine execution with task registry pattern
- RoutineScheduler: Async scheduler for automated routine execution
- NotificationService: Comprehensive notification creation and delivery system
- Support for price alerts, news, routines, reminders, and performance notifications
API Endpoints (daily_helper router):
- User profile: CRUD operations, get/update preferences
- Daily routines: Create, list, execute, track history
- Notifications: CRUD, mark read, batch operations
- Daily checklists: CRUD, item management, completion tracking
- Habits: Create, track, log completions, manage streaks
- Dashboard: Summary endpoint for daily helper overview
Frontend Components:
- UserProfileSetup: Complete user profile configuration with preferences
- NotificationCenter: Bell icon with dropdown, notification management
- HabitTracker: Habit creation, streak tracking, gamification with fire emojis
- DailyChecklistPanel: Checklist management with completion percentage
Schemas:
- Full Pydantic schemas for request/response validation
- Type-safe API contracts
Features:
- Timezone support for international users
- Trading style and risk tolerance preferences
- Automated routine execution with task registry
- Real-time notifications with priority levels
- Habit streaks with motivational badges
- Daily checklist with persistent state
- Completion percentage tracking
- Notes and metadata support
All components are production-ready with error handling and user feedback.
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.
Claude