TradingView Suite — The Integrated Ecosystem

Built upon John F. Ehlers' Elegant Oscillator and digital signal processing principles, WaveTrend 4D applies dual-pole filtering with hyperbolic tangent normalisation across four mathematically scaled frequencies (0.75x-5.0x multipliers). The GDM implements a composite formula synthesising six orthogonal components through weighted geometric means, whilst maintaining statistical significance through configurable lookback windows and relative threshold validation.

QMC employs integral calculus to measure momentum "area" between oscillator-median intersections, ranking these integrals via historical quantile analysis to identify trend exhaustion events. The algorithm calculates ∫(frequency_line - median)dt over each cycle, then applies percentile-based filtering to isolate statistically significant reversals, ensuring signals trigger only after extraordinary momentum accumulation rather than routine oscillator crossings.

The Flux Composer employs ensemble learning principles from machine learning, implementing decay functions that model signal degradation. Each signal undergoes temporal weighting before aggregation through four mathematically distinct confluence mechanisms: amplitude compression (stochastic-style normalisation), trigonometric smoothing, and proprietary GYTSynthesis which balances signal strength against discriminative power through adaptive threshold optimisation.

The Professional Edition implements dual-layer architecture where Filter Flux acts as a Bayesian gatekeeper, computing conditional probabilities P(signal_valid|filter_state) before allowing Signal Flux threshold crossings. This creates a hierarchical decision tree that reduces false signals whilst maintaining responsiveness to genuine market regime transitions through mathematically orthogonal signal validation.

Based on cycle analysis and digital signal processing theory, the detector employs five mathematically orthogonal methods: Cyclic Centroid Analysis (proportion-based SMA analysis), adaptive volatility channels, dual high-pass filter differential analysis (Spectral Momentum), frequency domain pattern recognition (Energy Distribution Gauge), and phase coherence analysis between adaptive low-pass filters. Each method operates on distinct mathematical principles to ensure statistical independence.

The consensus mechanism implements weighted voting for regime classification. The Professional Edition includes a "strength-weighted" mode where signals with higher conviction have more influence on the outcome. It also utilises a proprietary algorithm for automatic dominant cycle detection, ensuring parameters adapt to market rhythm. This multi-method, adaptive approach significantly reduces false regime transitions through mathematical redundancy rather than parameter optimisation.

The Order Orchestrator employs a multilayered framework where discrete signals become coherent trading operations. Its Multi-Signal Engine processes up to five sources through customisable mapping, whilst the Adaptive Position Sizing module implements geometric progression algorithms. The sophisticated Multi-Level Exit Strategy transforms profit-taking into mathematical discipline.