Cycle Lab cockpit

Cycle Lab · Explainable model

Eight states. Every verdict needs receipts.

The Regime Engine is an inspectable research framework—not a black-box prediction.

Research statev0.4 candidate · original validation preserved
From the documentaryWatch the argument, then inspect the evidence.
03:20 · RegimesBull and bear are not binary
07:43 · MethodologyThe Blue Rogues Cycle Engine
Learning path

State machine

Regimes are transitions, not labels.

A state changes only when multiple evidence families confirm the transition.

01Bear expansion

Trend and liquidity deteriorate together.

02Capitulation

Forced selling and volatility overwhelm orderly price discovery.

03Bottoming

Seller exhaustion appears, but confirmation remains incomplete.

04Early recovery

Structure improves while the first serious retest remains decisive.

05Bull confirmation

Spot demand, breadth and structure confirm one another.

06Bull expansion

Participation broadens and pullbacks remain contained.

07Distribution

Price strength persists while conviction and breadth weaken.

08Regime deterioration

Support, liquidity and participation begin failing together.

Evidence ledger

Weights and gates remain visible.

The v0.4 candidate compares the frozen original score with a confirmation gate designed around the documented 2019 and 2023 errors.

Price structure25%Fixture weight
Spot participation25%Fixture weight
Liquidity backdrop20%Fixture weight
Leverage health15%Fixture weight
Macro confirmation15%Fixture weight

Validation design

No future information may leak backward.

Walk-forward windows, point-in-time inputs and frozen transformations will test capitulation, bottoming, recovery, bull confirmation, distribution and deterioration separately.

Transition policy

Persistence before promotion.

The next engine revision treats a state change as a process: persistence, retest quality, sequential movement and contradiction gates must remain visible.

CandidatePersistence

A candidate state must survive two consecutive eligible observations before promotion.

CandidateRetest quality

Recovery needs a higher low plus durable participation after leverage normalizes.

RequiredSequential transitions

The engine does not jump across intermediate states without declared override evidence.

v0.4 testContradiction gate

Negative drawdown recovery and an unconfirmed long-term slope cap expansion.

PermanentPublication boundary

A model transition creates a research assignment, never an automatic public claim.

Walk-forward validation

Regimes under pressure

8 accepted · 2 false signals
False signal · 2019Bull expansion

2019 recovery impulse: the recovery score crossed the expansion threshold too early.

False signal · 2023Bull expansion

2023 recovery: the recovery score crossed the expansion threshold too early.

Original vs recalibrated

Confirmation gate comparison

Error matrix

First-pass research audit

Original accepted8/10
Original false calls2
Gate accepted10/10
Gate false calls0

The v0.4 candidate caps expansion when drawdown recovery remains negative and the 200-day slope is not yet persistent. This is a declared research hypothesis—not an optimized production rule.

01 · Bear expansion02 · Capitulation03 · Bottoming04 · Early recovery05 · Bull confirmation06 · Bull expansion07 · Distribution08 · Regime deterioration
Weight simulatorResearch interaction—does not rewrite the frozen validation.
Simulated fixtureEarly recovery+0.37 · moderate confidence
01

What the chart shows

Ten trailing-only historical checkpoints, the composite score and two documented premature expansion calls.

02

Blue Rogues Read

The model identifies severe stress well, but momentum-heavy recoveries can cross the expansion threshold before confirmation is durable.

03

What it confirms

The first-pass rule set is inspectable, repeatable and sensitive errors are visible.

04

What it does not confirm

Predictive edge, statistically complete ground truth or a production current regime.

05

Evidence required next

Add persistence and retest-quality gates, then rerun without changing the historical labels.

Source
Blue Rogues internal Episode 004 research history
Frequency
Selected walk-forward checkpoints
Coverage
2015–2023 · ten evaluation windows
Transform
regime-research-v0.3 preserved · v0.4 confirmation-gate candidate
Observed
2026-08-30T20:56:40.577Z
Blue Rogues boundary

Cycle research describes evidence and conditional regimes. It does not provide individualized investment advice, a guaranteed outcome or an automatic publication trigger.

Methodology