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Currently using: Hostinger Horizons
Create a modern React/Next.js trading journal web application with a clean, professional UI using Tailwind CSS. Start by setting up the core database schema for the application based on these requirements:
1. Design a normalized database schema for these primary entities:
- Trades (with fields for entry/exit points, position size, trade type, asset class, etc.)
- Strategies (with relationship to trades)
- Performance Metrics (related to trades and strategies)
- User accounts (for multi-user support)
2. Implement proper relationships between these entities:
- Trades relate to Strategies (many-to-one)
- Trades relate to Performance Metrics (one-to-many)
- Users relate to Trades (one-to-many)
3. Set up the initial project structure with:
- API routes for data operations
- Authentication system
- Basic responsive layout with navigation
- Dark/light mode support
Please show the database schema, core entity models, and basic application setup.
Create a comprehensive trade entry form and dashboard for the trading journal application with these features:
1. Build a multi-step trade entry form that captures:
- Basic trade details (symbol, direction, asset class)
- Entry/exit points with multiple execution capability
- Position sizing and risk parameters
- Strategy selection (from user's strategies)
- Trade thesis and notes
- Emotional state tracking
- Image/chart upload capability
2. Implement a dashboard that displays:
- Recent trades summary
- Performance metrics (win rate, profit/loss, etc.)
- Active positions
- Upcoming watchlist items
- Quick-entry widget for rapid trade logging
3. Ensure all calculations are performed automatically:
- P&L calculations
- Risk/reward ratios
- Position sizing recommendations based on risk parameters
Make the UI clean, intuitive, and professional with proper validation and responsive design.
Develop the analytics and performance tracking module for the trading journal with these capabilities:
1. Implement key performance metrics calculations:
- Win/loss ratio
- Profit factor
- Risk-adjusted return
- Maximum drawdown
- Sharpe ratio
- Expectancy
2. Create interactive data visualizations:
- Equity curve chart
- Win/loss calendar heatmap
- P&L by strategy/asset pie charts
- Drawdown chart
- Performance by day of week/time of day
3. Build a customizable reporting system:
- Daily summary reports
- Weekly performance reviews
- Monthly detailed analysis
- Custom date range reporting
- Exportable to PDF/CSV
Ensure all visualizations are responsive, interactive, and provide meaningful insights with proper filtering options by date range, strategy, and asset class.
Create a comprehensive strategy management system for the trading journal with these features:
1. Build a strategy creation and management interface:
- Strategy definition form (name, description, rules)
- Entry/exit criteria documentation
- Risk parameters configuration
- Performance goal setting
- Tagging system for categorization
2. Implement strategy performance analysis:
- Performance metrics by strategy
- Strategy comparison tools
- Win rate and expectancy calculations
- Drawdown analysis by strategy
- Suggested optimizations based on performance
3. Develop a strategy library:
- Template strategies for common approaches
- Strategy documentation system
- Version tracking for strategy evolution
- Strategy sharing capabilities (private/public)
Make the interface intuitive by providing clear visualization of strategy performance and utilizing proper documentation tools.
Develop a comprehensive risk management module for the trading journal with these capabilities:
1. Create position sizing calculators:
- Fixed risk percentage calculator
- Volatility-based position sizing
- Kelly criterion implementation
- Risk parity allocation system
- Position size recommendations
2. Implement risk monitoring tools:
- Portfolio heat map
- Correlation analysis between positions
- Sector/asset exposure visualization
- Risk concentration warnings
- Maximum drawdown projections
3. Build pre-trade analysis features:
- Risk/reward calculator
- Probability of success estimator (for options)
- Expected value calculator
- Maximum loss scenarios
- Position sizing recommendations
Ensure the UI clearly communicates risk levels with appropriate color coding, alerts for excessive risk, and interactive tools for scenario testing.
Implement a robust user authentication system and personalized settings for the trading journal:
1. Create a complete authentication system:
- Email/password registration and login
- OAuth integration (Google, Twitter, etc.)
- Email verification process
- Password reset functionality
- Two-factor authentication option
2. Build a comprehensive user settings panel:
- Profile management
- Notification preferences
- Default risk parameters
- UI customization options
- API key management for integrations
3. Implement role-based access control:
- Multiple user roles (free, premium, admin)
- Feature access based on subscription level
- Usage limits and quotas
- Account statistics and usage tracking
Ensure proper security practices, data encryption, and session management with a clean, intuitive user interface.