TessQ Behavioural Telemetry Documentation

Overview

TessQDE4D provides 1,000,000 sequential ticks of synthetic behavioural telemetry generated by the TessQ engine — a multi‑organ behavioural system designed to encode microstructure dynamics into a stable, machine‑learning‑ready feature set.

TessQ transforms real microstructure into a synthetic behavioural manifold containing drift, sigma, tension, pressure, wave dynamics, entropy compression, and regime identity. All fields are fully derived, entropy‑encoded, and non‑reversible.

Engine Architecture

The TessQ engine consists of seven behavioural organs:

• Prism — drift, sigma, tension, curvature, energy
• Heartbeat — timing, latency, rhythm
• Sentinel — pressure, consensus, microsignals
• Wave — amplitude, slope, length
• Edge — microstructure alignment
• QDE — entropy compression & branching
• Tesseract — 4D geometry & regime identity

Synthetic Expression of Real Behaviour

TessQ reacts to real market micromovements but expresses them through a synthetic behavioural manifold. No raw market data is ever exposed — only derived, non‑reversible behavioural fields.

Real Behaviour → Synthetic Pipeline

1. Real micromovement occurs
2. TessQ senses it
3. Organs interpret behaviour
4. Behaviour encoded into 4D geometry
5. Geometry collapses into a regime
6. Telemetry entropy‑encoded
7. Synthetic behavioural fields output

4D Manifold & Tesseract Geometry

Behaviour is represented inside a four‑dimensional manifold (t4d_x, t4d_y, t4d_z, t4d_w). This manifold is projected into a tesseract scaffold with 16 behavioural attractor vertices, each corresponding to a macrostate regime.

Regime Identity

TessQ assigns a behavioural regime at each tick based on manifold position and vertex proximity. Regimes include Neutral Drift, Bear Tense Stable, Bull Calm Expansion, Volatile Break, and more.

Schema

The dataset includes the following fields:

Core Session Fields

• ts — sequential timestamp counter
• tk — tick index
• px — synthetic price snapshot
• im — micromovement indicator

Prism Organ

• pr_drift — directional drift
• pr_sigma — volatility‑derived sigma
• pr_tension — behavioural compression
• pr_pred — behavioural prediction
• pr_latDelta / pr_latSigma / pr_latPressure — lateral behaviour
• pr_regression — regression estimate
• pr_curvature — envelope curvature
• pr_energy — internal energy

Heartbeat Organ

• hb_tick_ms — tick timing
• hb_latency_ms — behavioural latency
• hb_field — heartbeat field strength

Sentinel Organ

• dk_pressure — pressure signal
• dk_consensus — consensus strength
• dk_power — microsignal strength

Wave Organ

• wave_len — wave length
• wave_amp_bps — amplitude
• wave_slope_bps_s — slope

Edge Organ

• edge_05ms — microedge detection
• edge_futureAligned — forward alignment
• edge_futureLead — forward lead

QDE Organ

• qde_branch — branch index
• qde_best — best path
• qde_minEntropy — minimum entropy

Tesseract Organ

• t4d_x / t4d_y / t4d_z / t4d_w — manifold coordinates
• t4d_vertex — nearest attractor vertex
• t4d_regime — regime ID
• t4d_regime_name — human‑readable regime

Use Cases

• Machine learning & feature engineering
• Quantitative research
• Regime detection
• Anomaly & event detection
• Backtesting & simulation