Signal Monitoring Dashboard
The SignalMagic dashboard provides comprehensive monitoring tools to track signal performance and active trades:
Real-Time Signal Feed
Live stream of incoming trading signals
Detailed signal breakdown with:
Entry price and recommended range
Stop-loss and take-profit levels
Signal confidence score
Expected duration
Risk-reward ratio
Technical analysis justification
Sentiment analysis summary
Trade Tracking
Real-time position status
Current P&L for open positions
Historical performance metrics
Position management tools:
Adjust stop-loss and take-profit levels
Add to position
Close partial positions
Set trailing stops
Performance Analytics
Signal performance by asset
Win/loss ratio over time
Average profit per trade
Maximum drawdown
Risk-adjusted return metrics
Performance comparison to benchmark indices
Signal Monitoring Dashboard
The SignalMagic dashboard provides a comprehensive view of market conditions and AI-generated signals:
Live Trading Signals
Entry Points:
Precise price ranges for optimal market entry with visual support/resistance zones
Multiple entry strategies (limit orders, scaled entries, momentum entries)
Entry urgency indicator (immediate, moderate, patient)
Visual price heatmaps showing optimal entry zones
Historical entry success rate for similar setups
Exit Strategies:
Take-profit targets with multiple levels for partial profit taking (TP1, TP2, TP3)
Dynamic exit recommendations based on market volatility
Time-based exit suggestions for range-bound markets
Exit urgency indicators for rapidly changing conditions
Visual projection of potential profit scenarios
Risk Management:
Stop-loss recommendations with detailed risk/reward ratios
Volatility-adjusted position sizing calculators
Maximum drawdown projections and risk exposure metrics
Multi-scenario risk analysis with probability distributions
Correlation warnings for portfolio concentration risks
Signal Confidence:
AI-calculated probability of successful outcome (0-100%)
Multi-factor confidence breakdown showing contributing elements
Historical backtesting results for similar signals
Real-time confidence adjustments based on market conditions
Confidence threshold customization for personal risk tolerance
Timeframes:
Short-term (intraday) signals with hourly updates
Medium-term (swing) trading opportunities (3-10 days)
Long-term position signals (weeks to months)
Multi-timeframe analysis showing signal confluence points
Timeframe conflict warnings when applicable
Market Analytics
Price Charts:
Advanced TradingView integration with custom SignalMagic proprietary indicators
Multi-timeframe analysis views (15m, 1h, 4h, 1d) in synchronized panels
AI-highlighted support and resistance zones with strength ratings
Automatic pattern detection with success probability labels
Smart drawing tools that adapt to changing market conditions
Historical signal overlay to visualize past performance
Sentiment Gauge:
Real-time market sentiment analysis with graphical representation
Social media sentiment tracking across Twitter, Reddit, Telegram, and Discord
News sentiment aggregation with impact scoring
Whale wallet activity monitoring with alert thresholds
Contrarian indicators highlighting extreme sentiment conditions
Sentiment divergence alerts (when price and sentiment move in opposite directions)
Volatility Metrics:
Current and predicted market volatility with historical comparisons
Volatility term structure showing short vs. long-term expectations
Volatility smile analysis for derivatives markets
Regime change detection with early warning system
Volatility-based position sizing recommendations
Correlation between volatility and trading volume
Volume Analysis:
Unusual volume detection and visualization with statistical significance markers
Volume profile analysis showing key price levels
Smart money flow index tracking institutional activity
Buy/sell volume imbalance indicators with threshold alerts
Volume trend analysis showing accumulation/distribution patterns
Exchange-specific volume comparisons to detect anomalies
Correlation Matrix:
Interactive cross-market correlation heatmap with customizable assets
Dynamic correlation tracking showing relationship changes over time
Correlation-based portfolio diversification recommendations
Sector rotation analysis for identifying emerging trends
Correlation anomaly detection highlighting unusual market behavior
Custom correlation baskets for grouped asset analysis
Performance Tracking
Signal History:
Complete record of past signals and outcomes with visual timeline
Filterable signal database by asset, timeframe, strategy type
Detailed signal anatomy showing decision points and market conditions
Comparative analysis between predicted and actual outcomes
Screenshot repository of chart conditions at signal generation
Exportable reports for external analysis
Success Rate:
Running statistics on signal performance with confidence intervals
Performance breakdown by market condition (trending, ranging, volatile)
Strategy-specific success metrics for different AI models
Time-based performance decay analysis
Comparative benchmarking against market indices and competitors
Statistical significance testing for performance validation
Profit Tracking:
Realized and unrealized gains from signals with visual equity curves
Risk-adjusted return calculations (Sharpe, Sortino, Calmar ratios)
Drawdown analysis with recovery metrics and maximum drawdown periods
Performance attribution by signal type, asset class, and timeframe
Hypothetical portfolio modeling based on signal execution
Tax-aware profit calculation with annual summaries
Risk Analysis:
Comprehensive drawdown metrics and historical risk exposure assessment
Value-at-Risk (VaR) calculations with multiple confidence intervals
Stress testing scenarios based on historical market events
Correlation-adjusted risk metrics for portfolio-level analysis
Risk contribution breakdown by position and asset
Dynamic risk ceiling recommendations based on market conditions
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