Signals

Apex

Multi-axis confluence

Eight independent witnesses. A signal only when they agree.

Apex — The add-on window, drawn by its own code over a hundred seconds of synthetic session — range, buying pressure and absorption. It is not a mock-up, but it is not live market either: it shows what the tool measures, not a trade.

What it is for

Rather than reading one axis, it treats each reader as an independent witness and only issues a directional signal when several orthogonal witnesses agree, with market regime, self-calibration and a harness that measures its own results. One axis gets it wrong; a consensus of orthogonal axes is hard to fake.

Mode

Heuristic

It consumes the same senses as the readers and adds fusion, regime and calibration on top.

Requirements

Bookmap with live data
Futures (ES/MES) or crypto
miggy-apex.jar

What it measures

Directional bias with an A/B/C grade
Confidence and agreement across axes
Regime: trend, balance or expansion
The vote of each of the eight axes
Entry, structural stop and targets in R
Validation: trades, hit rate and expectancy

How to read it

Ensemble fusion: Eight axes vote with strength and confidence: aggression, absorption, iceberg, spoof, sweep, trapped, void and structure.
Regime awareness: It re-weights which confluences matter: in a thin book sweeps continue; in a thick book fades work.
Self-validation: Because it emits signals it is falsifiable: it measures its own outcomes, and each signal carries the breakdown of which axes backed it.

What it does NOT mean

Apex does propose direction, unlike the readers. But a signal is a falsifiable hypothesis, not an order: it places no orders, automates nothing and is not advice. And confidence is agreement across axes weighted by data quality — never the probability of winning.

⚠️ Decision support for 100% manual execution. It places no orders, automates nothing and is not financial advice.