📊 Performance Dashboard
Track AI learning progress, prediction accuracy, and pattern performance over time.
🧠 Autonomous Brain Status
🤖 Agent Army Status
💡 Learning Insights
Last: --Recent Discoveries
Performance This Week
🎯 Zone Performance by Ticker
Institutional zone bounce tracking| Ticker | Times Tested | Hold Rate | Avg Bounce | Quality |
|---|---|---|---|---|
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📜 Learning Activity (Last 24 Hours)
📈 Win Rate Over Time
💰 Cumulative Returns (Simulated)
🎯 Pattern Performance (Learned Weights)
The AI adjusts these weights based on actual outcomes. Higher weight = more reliable pattern.
| Pattern | Weight | Wins | Losses | Win Rate | Avg Return | Status |
|---|---|---|---|---|---|---|
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🔮 Recent Predictions & Outcomes
| Date | Ticker | Prediction | Entry Price | Current/Exit | Return | Outcome |
|---|---|---|---|---|---|---|
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📚 Historical Pattern Statistics (10-Year Analysis)
Based on backtesting patterns over 10 years of market data.
🧠 How The Learning System Works
1. Detection
Every 60 seconds during market hours, the AI scans your watchlist for patterns (breakouts, MACD crosses, RSI extremes, volume spikes, etc.)
2. Prediction
When a pattern is detected, it records the prediction (direction + price) and applies learned weights to estimate probability.
3. Learning
After 1-5 days, it checks if predictions were correct. Winners increase pattern weight +10%, losers decrease -10%.
⏳ When Will Data Appear?
- • Immediately: Historical pattern stats (from 10-year backtest)
- • After 1 day: First real-time pattern detections
- • After 3-5 days: First validated predictions (wins/losses)
- • After 2+ weeks: Meaningful pattern weight adjustments
- • After 1+ month: Reliable learned preferences