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XG Signal Lab

A demonstration of XGCS signal research, on synthetic data.

Market structure, pressure-field state, distribution rotation, and global narrative context presented as an observatory for how the laboratory studies state change. It is built in the language of Ebb & Flow, the XGCS framework for reading pressure, rotation, compression, confluence, and regime transition as one field.

Every number on this page is synthetic. The series below are generated to demonstrate the techniques. They are not market data, not results, and not a forecast. The real research record is on the laboratories page.

Application

BTC/USD pressure fields, dominance rotation, and a daily GDELT narrative field.

Purpose

Demonstrate how XGCS studies state change across market and non-market data.

Framework

Ebb & Flow supplies the model language: pressure, rotation, compression, confluence, and regime transition.

Instrument

Signal Lab is the public exhibit layer for Ebb & Flow-inspired research instrumentation, turning market and narrative state into observable exhibits.

How to read it

Green means constructive pressure, red means defensive pressure, dark means compression. The panels are designed to show state, not trade calls.

Update cadence

In the research system the BTC/USD panel follows the market publisher cadence and GDELT is a daily narrative field. On this page both are synthetic, redrawn at those timescales so the visual language reads correctly.

Demo series Polls every 30s

Source Synthetic demonstration series

BTC/USD Workbench

BTC/USD

Regime

Upper Pressure

Dominance Mass

Bull 62% Neutral 20% Bear 18%
-- / -- bars visible Loading window
Illustrative: synthetic series, not market data
Accessible chart summary

A candlestick price series with a volume histogram along the bottom, drawn for BTC/USD. Green bodies mark samples that closed at or above their open; red bodies mark samples that closed below it. The pane is scrollable and its visible window drives the pressure field and dominance distribution below.

  • Current regime: Upper Pressure
  • Bars in view: -- of --
  • Visible window: Loading window
  • Cadence: Inferred from feed
  • Series source: Demo series — not exchange data

Pressure Field / Fast rows -> slow rows

Rows 32 / Visible samples 72 / Feed samples 72

Cadence

1m demo cadence

Asset

BTC/USD

ST LT
Oldest Time -> Newest
Bearish pressure Neutral / compression Bullish pressure

Dominance Distribution

Synced samples 72 / Feed samples 72

Bull Bear Neutral Composite

Snapshot Jun 12, 11:00 AM PDT

Last bar Jun 12, 11:00 AM PDT

Next Not scheduled

Window Demo range

Cadence Inferred from feed

Market Demo series — not exchange data

Context GDELT daily semantic context

Exhibit I / BTC Pressure Field

The BTC/USD pressure field

This panel translates a stack of fast-to-slow state lanes into a visual field. Each vertical slice is one market sample. Top rows react faster; lower rows move more slowly. Color expresses direction and intensity, not a published trading rule.

How to read it

Read left to right. Bright green means bullish pressure is expanding; bright red means bearish pressure is expanding; dark regions show compression or mixed state.

Update cadence

The BTC/USD chart, heatmap, and dominance distribution are emitted from the same market timeframe shown on the panel.

Why it matters

The heatmap makes regime transitions visible before they collapse into one number.

Dominance Distribution

A state-space view, not an arrow system.

The distribution pane summarizes the same BTC/USD pressure field as bullish, bearish, neutral, and composite state traces. For a visitor, the goal is simple: see whether pressure is concentrating, rotating, or compressing.

ST row bias 71%
LT row bias 48%
Entropy 33%
Extreme index 64 / 100

How to read it

When green and red traces separate, directional dominance is increasing. When the neutral trace rises, the field is compressing or losing direction. The yellow trace is a public composite summary.

Exhibit III / GDELT Pressure Field

The same lens on a daily narrative dataset.

GDELT is displayed as a daily non-market field. The selected lane is screened against BTC/USD, then rendered through a familiar pressure-field exhibit so viewers can compare market state with an exogenous narrative environment.

Candidate lanes

Inflation pressure, recession pressure, energy stress, geopolitical friction, cyber disruption, and supply-chain stress.

Selection logic

Prefer lanes with low rolling absolute correlation to BTC/USD returns so the field remains meaningfully different from the market series.

Cadence

Daily GDELT context, cached separately from the BTC/USD market publisher.

Selected Lane

Supply-chain stress

Dataset GDELT DOC 2.0 daily timeline
Timeframe 1D
BTC correlation 0.08
Abs correlation rank Lowest selected
Lane count 6
Field samples 30

Narrative Series

1D / GDELT

Intensity Tone Volume

Each trace is scaled to its own range across the visible window, so the vertical axis carries no shared unit.

Daily Context Heatmap

Rows 9 / Samples 28

Cadence

1D

Measure

Daily narrative intensity

Fast Slow
Oldest Time -> Newest
Falling intensity Neutral / compression Rising intensity

Exhibit IV / Recent State History

Snapshot rotation

Each row compresses a recent snapshot into dominance mass and extreme-state intensity for a quick read of regime transition. The history only updates when the publisher posts a new sample.

Bullish dominance Neutral / compression Bearish dominance

Each bar splits one snapshot's dominance mass into three shares that always total 100%. T‑1 is the most recent published snapshot and T‑5 is five snapshots earlier, so the rows read oldest at the top. The right-hand number is the extreme-state index on a 0–100 scale.

T-5
53 / 100
T-4
56 / 100
T-3
59 / 100
T-2
61 / 100
T-1
64 / 100

XG Signal Lab is research visualization and decision-support context. It is not investment advice, a trading recommendation, or a solicitation to buy or sell securities.