Lorentzian Classification - Advanced Trading Dashboard

The Lorentzian Classification - Advanced Trading Dashboard indicator provides a comprehensive market analysis environment based on Lorentzian geometry and K-Nearest Neighbors (KNN) algorithms. This tool identifies historical price patterns similar to current market conditions to generate predictive signals and visualize market regimes through a sophisticated data dashboard.

Usage

The Lorentzian Classification - Advanced Trading Dashboard serves as a multi-dimensional analysis system. Traders use the dashboard to monitor signal confidence, market regime, and risk factors in real-time.

1. Signal Interpretation:
   • Long Signals: Occur when the prediction strength exceeds the threshold with high confidence. Look for volume confirmation and price action alignment at support levels.
   • Short Signals: Occur when the prediction strength falls below the negative threshold. Confirm these with resistance levels and momentum divergence.
2. Market Regime Adaptation: In trending markets, directional signals carry more weight, while in ranging markets, focus on reversal signals at price extremes.
3. Confidence-Based Sizing: The indicator provides a confidence percentage; higher values suggest stronger historical pattern matches, which traders may use to adjust position sizing.

Details

The indicator utilizes a Lorentzian distance metric to measure similarity between current and historical market states. Unlike traditional Euclidean distance, Lorentzian distance (d(x,y) = Σ ln(1 + |xi - yi|)) is scale-invariant and robust against outliers, making it better suited for non-linear market data.

The system constructs a 12-dimensional feature vector including:

• Price: Multi-timeframe momentum and relative changes.
• Volume: Profile analysis against historical averages.
• Volatility: ATR and Bollinger Band width normalization.
• Momentum: RSI deviations and MACD ratios.

A temporal decay factor is applied to ensure the algorithm prioritizes more recent historical patterns, maintaining adaptability to current market dynamics.

Settings

Lorentzian Engine

• K Nearest Neighbors: Determines the number of historical patterns to compare (3-20). Lower values are more adaptive, while higher values are more stable.
• Historical Lookback: The range of bars searched for patterns (50-500).
• Prediction Horizon: How many bars ahead the system attempts to forecast.
• Temporal Decay: Adjusts the weight of older history vs. recent history.

Feature Engineering

• Price/Volume/Volatility/Momentum Features: Toggles for specific data sets used in the distance calculation.

Signal Generation

• Signal Threshold: The minimum prediction strength required to trigger a buy or sell label (0.5-0.9).
• Prediction Smoothing: Applies an EMA to raw predictions to reduce noise.
• Signal Cooldown: Minimum bars between consecutive signals to prevent clustering.

Flow Intelligence

• Enable Footprint Data: Integrates tick-level footprint data for absorption and delta analysis.
• Value Area %: Sets the percentage for the value area calculation.

FAQ

How do I interpret the confidence heatmap? The heatmap visualizes the reliability of recent predictions. Higher intensity colors indicate strong historical agreement among the nearest neighbors, suggesting a more reliable pattern.

Can I change the visual theme of the dashboard? Yes, the indicator includes several themes such as "Neural Nexus," "Lorentzian Field," and "Cipher Matrix" to suit different trading environments and aesthetic preferences.

How do I get access to Lorentzian Classification - Advanced Trading Dashboard? You can get access on the LuxAlgo Library for charting platforms like TradingView, MetaTrader (MT4/MT5), and NinjaTrader for free.