◈
GMI
Institutional-grade quantitative intelligence

Structured market
intelligence.

A decision-support platform generating explainable, thesis-driven, regime-aware research for discretionary macro traders, family offices, and research desks.

Multi-model consensusExplainable outputsThesis-driven researchRegime-aware analysis

For institutional users · Decision support only · Not financial advice

WORKSPACE: MACRO ALPHA
DATA PIPELINE & ANALYST TOOLS ACTIVE
BTC/USD64,230+2.4%ETH/USD3,450-0.8%XAU/USD2,348+0.5%US02Y4.82%+1.2bpsDXY104.50-0.2%SPX5,204+0.7%WTI82.10-1.1%VIX14.32-3.5%BTC/USD64,230+2.4%ETH/USD3,450-0.8%XAU/USD2,348+0.5%US02Y4.82%+1.2bpsDXY104.50-0.2%SPX5,204+0.7%WTI82.10-1.1%VIX14.32-3.5%
Consensus SignalsLive
BTCBUY
high
84%
ETHHOLD
medium
61%
GOLDBUY
high
77%
OILSELL
medium
69%
Macro Context
DXY104.5
10Y Yield4.82%
VIX14.3
SentimentPositive
Regime Detection

Risk-On / Reflationary

Intelligence StreamLIVE
09:02BTC consensus updated → BUY (84%)
09:00Pre-market narrative generated
08:58GOLD signal confirmed: BUY / high agreement
08:55OIL model debate: dissent from gemini
08:50DXY spike detected — regime check triggered
08:45Update cycle complete. Assets: 8, Signals: 8
Cross-Asset Correlation60-period Pearson
BTC / ETH
+0.94
Very High
BTC / GOLD
+0.31
Low
GOLD / DXY
-0.72
Inverse
OIL / SPX
+0.48
Moderate
Models3 activeAssets8 trackedCycle60sConsensus4 signals

Underlying Research Infrastructure

⬡Alternative DatasetsOn-chain, satellite, sentiment feeds
◈Quantitative ToolsRegime detection, factor analysis
⟁Data OrchestrationNormalised multi-source pipeline
⊞API Feeds & ExportStructured JSON, webhook, CSV export
◉Data ProvenanceFull audit trail per signal output

The Problem

Professionals need thesis tracking, not just commentary.

Raw data terminals provide price feeds without analytical structure. Generic AI assistants generate plausible-sounding responses without source attribution or auditable reasoning chains.

Black-box signals offer no explainability. One-shot analysis has no continuity. Institutional users require structured, auditable research outputs they can defend and build upon.

  • ◈Structured, thesis-driven research workflows
  • ◈Explainable signals with evidence chains
  • ◈Multi-model consensus with dissent visibility
  • ◈Regime-aware analysis and alerts
  • ◈Full provenance and audit trail per output
Raw Terminal

Price feeds and order book data. No context, no narrative, no continuity.

Raw price dataNo thesis trackingNo regime contextNo explainability
Analyst Agent WorkflowPreferred

Structured intelligence with explainable signals, thesis continuity, and auditable outputs.

Regime-aware signalsThesis state trackingMulti-model consensusFull provenance
Generic AI Chat

Conversational responses with no persistent state, no source attribution, no auditability.

No persistent stateNo source attributionNo signal confidenceNot auditable

Global Command Layer

Global Market State Interface

Visibility into liquidity hubs, regime deployments, and active model states across global markets.

GLOBAL MARKET STATE — LIVE VIEWLive
Active sessionClosed / risk-off
MARKET NODE DETAIL

Select a market node to view details

Intelligence System Modules

Core Capabilities

Six specialised intelligence modules working in coordination to produce structured, explainable market intelligence.

⬡
Core Agent

Research Orchestration Agent

Coordinates multi-step research workflows, schedules agent runs, and synthesises cross-asset intelligence into structured briefings.

◈
Analytics

Regime Analytics Engine

Detects macro regime transitions — risk-on, risk-off, stagflation, reflation — and surfaces actionable regime labels per asset class.

⟁
State Engine

Longitudinal Thesis State Engine

Tracks the lifecycle of investment theses over time, records evidence accumulation, flags invalidation conditions, and maintains thesis continuity.

⊕
Structuring

Catalyst Structuring Layer

Classifies and ranks market catalysts by magnitude, directionality, and timeframe. Links catalysts to affected assets with confidence scores.

⊗
Consensus

Multi-Model Debate Engine

Runs consensus scoring across multiple AI models, surfaces dissenting views, and produces weighted final signals with model attribution.

◉
Explainability

Explainable Driver Framework

Every output includes structured evidence chains, confidence levels, contradictions, and audit-ready provenance for institutional review.

System Architecture

Intelligence Pipeline

Five operational stages transform raw market context into structured, explainable intelligence outputs.

SENSE

Ingest & Normalise

Live market context ingested from price feeds, macro data, on-chain metrics, and alternative datasets.

Multi-source normalisation pipeline
JUDGE

Model Debate Loop

Three independent AI models generate initial signals, then engage in a structured debate loop to surface disagreements.

OpenAI · Anthropic · Gemini
REACT

Consensus & Alerts

Weighted consensus scoring produces final signals. High-confidence changes trigger structured alerts with severity classification.

Confidence-weighted consensus
EXPLAIN

Structured Outputs

Every signal is accompanied by a driver narrative, evidence list, confidence band, dissenting model views, and invalidation conditions.

Auditable reasoning chains
LEARN

Outcome Tracking

Prediction outcomes are recorded, model weights are updated based on accuracy, and signal quality improves over time.

Adaptive model weighting

UPDATE CYCLE · 60s interval · Background scheduler · OpenAI · Anthropic · Gemini · Adaptive model weighting

Explainability & Provenance

Every output is auditable.

Confidence levels, evidence chains, contradictions, invalidation conditions, and full data provenance on every signal.

SYSTEM › HIGH-FIDELITY DATASETS
ACTIVE

Institutional-grade data infrastructure

Every signal traces back to verified source data with normalisation logs, staleness indicators, and source quality scores.

›Real-time price feeds across crypto and commodities
›Macro context: DXY, 10Y yield, VIX, news sentiment
›On-chain activity indicators (normalised 0–1)
›Configurable asset universe via admin API
Sample output

asset: BTC/USD

final_signal: BUY

confidence: 0.84

agreement_level: high

dissenting_models: []

regime: Risk-On / Reflationary

reasoning: ["Strong on-chain inflow", "DXY weakness", "Positive sentiment"]

Who It's For

Built for institutional users.

Decision support for professionals who require structured, auditable intelligence — not autonomous execution or consumer alerts.

◈

Discretionary Macro Traders

Build and track structured theses across rates, FX, commodities, and crypto with AI-assisted research continuity.

Thesis tracking, regime-aware signals
⬡

Institutional Strategy Teams

Generate structured intelligence briefings, monitor cross-asset consensus, and surface actionable research at scale.

Daily briefings, consensus monitoring
◉

Crypto Research Desks

Track on-chain activity, sentiment, and cross-asset correlation to produce auditable research outputs for institutional clients.

On-chain analytics, narrative generation
⟁

Family Offices

Access institutional-grade market intelligence without building a full research infrastructure. Decision support with explainable outputs.

Portfolio decision support
⊕

Systematic Portfolio Managers

Feed structured signals into allocation models. Model performance tracking and adaptive weighting support systematic workflows.

Signal feeds, model performance data
⊞

Corporate Intelligence Leads

Monitor macro regimes and commodity market conditions relevant to operational planning, procurement, and risk hedging.

Macro monitoring, commodity intelligence
Not for:—Retail trading apps—Autonomous execution—Consumer finance—Crypto exchanges—Generic chat assistants

Request Access

Institutional intelligence,
ready to deploy.

Join research desks, macro teams, and institutional strategy groups using structured market intelligence to support investment decision-making.

By submitting you agree to be contacted regarding platform access. Decision-support only · Not financial advice.