_Trinity Matrix_
Short description
A structured multi-layer oscillator built around a refined Trinity Wave core, MFI regime columns, confidence scoring, divergence filtering, and TF / HTF context.
Full publication description
Trinity Matrix is a multi-layer oscillator designed to read continuation, reversal quality, regime strength, and divergence context inside a single panel.
It combines a refined Trinity Wave core, MFI regime structure, confidence scoring, mode-based signal filtering, divergence logic, and a compact TF / HTF dashboard into a unified workflow.
The name is a nod to layered market context: not a single signal, but a structured matrix of wave state, regime strength, confidence, and divergence.
Core Structure
Trinity Wave core with additional smoothing and soft limiting to reduce extreme spikes while preserving directional character
MFI Columns to separate baseline participation from stronger expansion phases
Strong zone highlighting to visually distinguish stronger bullish and bearish regime expansion
Confidence engine that blends Trinity Wave continuation and MFI continuation into a normalized directional score
Signal modes for different levels of selectivity: None, Early, Standard, and Strict
ATR-gated divergence filtering for cleaner divergence structures
TF / HTF confidence dashboard for comparing active timeframe conviction against a selected higher timeframe
Built-in alerts for buy, strong buy, elite buy, sell, strong sell, and elite sell conditions
How to Read It
Trinity Wave is the main directional layer. Green indicates bullish state, red indicates bearish state.
MFI Columns show regime participation.
White columns = baseline MFI flow
Shiny white columns = stronger bullish expansion
Orange columns = stronger bearish expansion
Average MFI bands help show where positive or negative regime strength is building relative to recent memory.
Confidence Dashboard summarizes directional conviction on both the active timeframe and the selected higher timeframe.
Row 1 = TF / HTF labels
Row 2 = confidence percentage
Row 3 = qualitative tag: Weak / Moderate / Strong
Signal Modes
None hides signal output
Early is faster and more aggressive
Standard is more balanced
Strict applies the strongest filtering and usually produces the fewest signals
Divergence Module
The divergence layer uses Trinity Wave turning points, confidence filtering, pivot distance control, and optional ATR gate filtering.
It can draw on the oscillator and, if enabled, on price as well.
The goal is not to maximize divergence count, but to keep the structures more selective and readable.
Alerts
This script includes separate alert conditions for:
TW Buy
TW Buy Strong
TW Buy Elite
TW Sell
TW Sell Strong
TW Sell Elite
Suggested Use
Trinity Matrix works best as a structured reading tool rather than a one-click decision engine.
A practical workflow is:
Read Trinity Wave direction and location
Check whether MFI is in baseline flow or strong expansion
Use confidence and HTF context to judge continuation or reversal quality
Use signal mode based on your desired aggressiveness
Use divergence as a contextual filter, not as a standalone trigger
Important Notes
Signal frequency changes significantly with the selected signal mode
HTF confidence reflects the live state of the selected higher timeframe
Divergence output is intentionally filtered and selective
This is an indicator framework, not a full trading strategy
Attribution
Core WaveTrend-style formulation was adapted from the open-source WaveTrend Oscillator by LazyBear, then extended with additional smoothing, soft limiting, MFI regime logic, confidence scoring, divergence filtering, dashboard structure, and alert workflow.
Acknowledgement
Built through many rounds of testing, refinement, and iteration — with a little help from ChatGPT and CodeGPT along the way.
Disclaimer
For educational and analytical use only. Not financial advice.
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