| Date | Patterns Found | Sim. Win Rate | Sim. Avg Gain |
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The AlphaDash Methodology
Volume Anomaly Detection: Our primary scanner searches for equities experiencing highly unusual pre-market or intraday relative volume (Rel Vol > 3x average). Volume precedes price. When institutions trap supply, expanding volume leads to multi-day breakouts.
VWAP Confluence: We rank setups based on their distance from VWAP (Volume Weighted Average Price). Stocks launching off VWAP with rising MACD histograms are favored over extended, parabolic chases.
AI Confidence Scoring: A trained RandomForest classifier analyzes 30+ technical parameters (RSI, ADX, Standard Deviation of Bollinger Bands) to output a 0-100% conviction score. Any score above 75% indicates a high probability of a sustained intraday trend.
| Date | Symbol | Close | Change % | Vol | Rel Vol | RSI(14) | MACD | MA(20) | Vs MA(20) | VWAP | Market Cap | News | Sector |
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Real-Time AI Validation
The core algorithmic system is actively scanning for high-probability trade signals.
AlphaDash is building consistency over noise through real tracked performance. We require an extensive baseline of clean setup data before full auto-execution. Our focus remains on clear entry, stop, and targets.
Current Protocol
Data Gathering
Target Vectors
54 Dimensions
Core Engine
XGBoost / LSTM
👑 AlphaDash Admin Panel
Superuser Access: Base de datos de clientes registrados.
| ID | Email Address | Role | Created At |
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