Lorentzian AI
- Indicatori
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Michael Prescott Burney
Ciao, mi chiamo Michael P. Burney e sono un trader professionista, coach di trading e sviluppatore di Expert Advisor (EA), specializzato in sistemi di trading algoritmico ad alte prestazioni. Ho maturato la mia esperienza nei mercati dei metalli attraverso anni di operatività reale, affrontando - Versione: 1.0
Lorentzian Classification for MetaTrader 5
Lorentzian Classification is a machine-learning-inspired market analysis indicator for MetaTrader 5 designed to classify current price behavior by comparing it with similar historical market conditions. It brings the Lorentzian Classification concept into MT5 with a refined calculation structure, updated visual presentation, and a cleaner on-chart experience for traders who want more than a conventional signal tool.
Rather than relying on a single fixed formula, the indicator evaluates multiple dimensions of market behavior and measures similarity using Lorentzian Distance. This approach is designed to reduce the effect of extreme outliers and volatility spikes that can distort more traditional distance-based comparisons.
What the indicator does
The indicator analyzes the current chart state, compares it against prior market conditions, and produces a directional classification based on historical similarity. This gives traders a structured way to evaluate bullish, bearish, or neutral conditions using a broader decision model instead of isolated indicator readings.
A secondary kernel regression layer is used to provide smoother trend context and additional confirmation. The result is an indicator that helps traders separate raw directional pressure from broader market alignment.
How the analysis is built
At the core of the indicator is a classification engine that works with a configurable feature set. These features can include momentum, trend strength, market deviation, and cycle-based behavior, allowing the model to interpret price action through several analytical dimensions at once.
The current market state is compared with historical examples, and the nearest matches are used to estimate directional bias. This makes the indicator especially useful for traders who prefer pattern-based analysis and confirmation logic rather than simple threshold triggers.
Main components
- Lorentzian Distance comparison for more robust similarity measurement in changing market conditions.
- K-nearest-neighbor style classification logic to estimate directional bias from historical pattern matches.
- Kernel regression confirmation to add smoother trend structure and reduce noise.
- Configurable market filters to improve signal quality and help avoid weak environments.
- Premium on-chart visualization for easier signal reading and chart interpretation.
Feature structure
The indicator can be configured with multiple technical features such as RSI, WaveTrend, CCI, and ADX-based inputs. Each feature contributes a different view of market behavior, helping the classification process evaluate momentum, cycle behavior, statistical deviation, and trend strength as part of one combined framework.
Because the analysis is multi-dimensional, the indicator is well suited to traders who want a more structured and layered read of the market. It is intended to support chart-based decision making rather than replace trader judgment.
What appears on the chart
Lorentzian Classification is designed to make its analysis readable directly on the chart. Depending on your settings, the indicator can display directional bias, prediction strength, signal markers, trend context, classification coloring, and visual status elements that help explain the current market state.
The current MT5 version also includes refreshed visuals for a cleaner and more polished experience. The goal is to make the indicator easier to read during live chart work while keeping the presentation organized and professional.
Input flexibility
The indicator includes grouped settings for classification depth, historical lookback, feature count, feature parameters, kernel behavior, filter logic, and display controls. Traders can adjust responsiveness, smoothness, and signal selectivity by tuning parameters such as neighbor count, maximum bars back, feature periods, kernel lookback, and filter thresholds.
This makes the indicator flexible across different trading styles. More conservative users can tighten filters and favor smoother confirmation, while more aggressive users can reduce lag and allow earlier responses.
Best use cases
Lorentzian Classification is suitable for discretionary traders, confirmation-based traders, and system developers who want a more advanced analytical layer inside MetaTrader 5. It can be used on its own or combined with an existing method for trade filtering, bias confirmation, or timing refinement.
It is particularly useful for traders who want to study structure and classification behavior instead of reacting to a single crossover or oscillator event. Many users will find that higher timeframes produce cleaner structure, while lower timeframes may benefit from tighter filters and more selective use.
Important notes
This product is an indicator, not an Expert Advisor. It does not automatically open, manage, or close trades unless it is connected to separate automation logic developed by the user.
As with any analytical tool, proper testing is essential before live use. The indicator is designed to assist market analysis and trade decision support, but it does not guarantee performance and should always be used with sound risk management.

This is true game changer! BEst indicator there is!