← Back to Dashboard INDICATORS · INTELLIGENCE SUITE
Indicator Library

Choose the professional analytical module.

Each indicator is redesigned as a dedicated decision module. Run them independently for clean signal context, then move to Confluence only when you need cross-model validation.

Indicator architecture stays independent from Scanner architecture.

The five models above remain grouped under Indicators in this version. Confluence is still handled separately so individual indicator logic does not get confused with market-wide scanner methodologies.

5 Independent Indicator Models
Professional Indicator Workspace

Indicator Intelligence

Professional indicator intelligence workspace with cleaner decision architecture, premium analysis panels and redesigned specialist engines.

Indicator Models
5
Momentum, volume, divergence, positioning and composite flow
Active Horizons
4 TF
15m · 1H · 4H · 1D
Coverage
USDT
Spot and perpetual market coverage
Workflow
Multi-TF
Cross-horizon signal validation
Five Specialist Models

Indicator Intelligence Suite

Five independent analytical models built for different market questions. Instead of treating indicators as isolated signals, Strix EDGE organizes them by role — momentum, volume, divergence, derivatives pressure and real-time flow — so every reading has a clear purpose.

Signal Discovery
Momentum + Divergence

Find exhaustion, directional agreement and potential reversal conditions.

Participation
Volume + Advanced Flow

Validate whether price movement is supported by meaningful participation.

Positioning
Funding + Advanced Flow

Read derivatives positioning, squeeze pressure and composite directional flow.

← Back to DashboardSCANNERS · DISCOVERY MODE
Discovery Engines

Choose a scanning methodology

Each engine remains independent before confluence.
Scanner Intelligence

Market-wide signal discovery

Scan the broader market for structure shifts, trend transitions, liquidity events, price-action setups, institutional imbalance and wave-based opportunities. Each scanner is designed as an independent research engine with transparent thresholds.

9 discovery enginesSpot + Perpetual4 timeframesRanked signals
01
DetectSearch market-wide conditions
02
ValidateCross-timeframe confirmation
03
RankSurface strongest candidates
← Back to DashboardCONFLUENCE · AGREEMENT MODE
Confluence Engines

Choose the agreement layer first.

Start directly with the confluence engine you want to run. The methodology and decision architecture are explained immediately below, after the engine selection.

Independent systems2 agreement engines
How Confluence Works

Methodology, validation logic and signal discipline.

Confluence Intelligence

Independent systems. One disciplined signal.

Confluence is the validation layer of Strix EDGE. Instead of asking one model for an answer, it measures directional agreement across independent analytical systems, checks that agreement across timeframes, and only then surfaces the strongest candidates.

01 · IndependenceDifferent methodologies vote separately

Momentum, volume, structure and pattern logic do not share a single decision path.

02 · DirectionAgreement must point the same way

A high score only matters when independent systems align on LONG or SHORT direction.

03 · TimeframesSignals are validated across horizons

15m, 1H, 4H and 1D context helps prevent a single timeframe from dominating the result.

04 · ThresholdOnly qualified agreement reaches output

Each confluence engine uses a defined minimum agreement threshold before surfacing a signal.

Decision Architecture

From independent evidence to ranked agreement

The pipeline preserves system independence first, then combines only the resulting directional votes.

STAGE 01Market InputsPrice, volume, funding, order-flow and structure data.
→
STAGE 02Independent EnginesEach methodology evaluates the market using its own rules.
→
STAGE 03Cross-TF ValidationDirectional quality is checked across multiple horizons.
→
STAGE 04Agreement GateOnly signals meeting the required consensus threshold are ranked.
Signal Discipline

What confluence does — and what it does not do

Confluence is a filtering framework. It improves the quality of evidence by requiring independent agreement, but it does not remove market uncertainty or turn analysis into certainty.

Independent firstSystems generate their votes before the agreement layer combines them.
No single-system overrideOne strong model cannot substitute for the required number of agreeing systems.
Direction mattersMixed LONG/SHORT votes reduce agreement rather than being averaged into a false signal.
Evidence, not predictionOutputs describe current analytical alignment, not guaranteed future price movement.