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Archive: Cognitive Bias Mapping
Historical and experimental modules are staged here. The Cognitive Bias Mapping card is preserved for reference.
Cognitive Bias Mapping
Risk Consistency
Behavioral Discipline Trace (30 Trades)
Your strategy generates 1.24% extra return for every 1% of market volatility.
Top quartile efficiency. Your exit timing is in the top 5% of active users.
Algorithmic suggestion: Increase spot exposure to diversify volatility profile.
Planning: Future Features
Detailed plans for upcoming features in the Deriverse Journal App.
6. Trade Alerts/Notifications
Objective: Provide real-time and scheduled notifications to keep traders informed about their performance and important events.
- Threshold Alerts: Implement configurable PnL thresholds with immediate alerts when crossed (e.g., loss of 5%, gain of 10%).
- Email Summaries: Daily/weekly automated emails with trade summaries, performance metrics, and key insights.
- Browser Notifications: In-app browser notifications for critical events, using Notification API.
- Use Web Notifications API for browser alerts.
- Integrate email service (e.g., SendGrid or AWS SES) for summaries.
- Store user preferences in settings for alert thresholds and frequencies.
- Add notification history and management interface.
- Settings panel for configuring alerts.
- Notification center in the app for viewing past alerts.
- Clear distinction between different alert types.
7. Strategy Tracking
Objective: Enable traders to categorize and analyze trades by strategies for better decision-making.
- Strategy Tagging: Allow users to assign predefined or custom strategy tags to each trade (e.g., "Scalping", "Swing", "Arbitrage").
- Performance Comparison: Dashboard to compare performance across strategies (win rate, average PnL, drawdown).
- Strategy Identification: Algorithm to suggest best-performing strategies based on historical data.
- Extend trade data model to include strategy field.
- Create strategy analytics functions in risk-math.ts.
- Add strategy selection UI in trade entry forms.
- Implement comparison charts using Recharts.
- Strategy selector in trade journal.
- Dedicated strategy analytics page.
- Visual indicators for strategy performance trends.
8. Social Features
Objective: Add community aspects to encourage engagement and learning from peers.
- Anonymous Sharing: Option to share trade performance anonymously with community.
- Leaderboards: Global or filtered leaderboards based on performance metrics.
- Community Insights: Aggregated insights from shared trades (e.g., popular strategies, market sentiments).
- User profiles with privacy settings for sharing.
- Backend for aggregating and anonymizing shared data.
- Leaderboard algorithms with fair ranking systems.
- Community dashboard for insights.
- Toggle for anonymous sharing in settings.
- Leaderboard page with filters and categories.
- Community insights widget on main dashboard.
- Privacy-focused design to ensure user comfort.
Overall Considerations
- Ensure all features comply with data privacy regulations.
- Implement gradual rollout starting with basic functionality.
- Gather user feedback during development for refinements.
