
Cycle pressure score
Quantifies current cycle pressure using BRPS, MVRV and momentum context to identify late-stage acceleration risk.
Decision layer: timing
Decision intelligence
The platform architecture is built to be explainable, fast and operationally useful at portfolio level.
Data is continuously ingested, normalized and scored so each decision signal arrives with context, not noise.
Macro signals
USD/BRL + DXY
Cycle model
MVRV + BRPS + F&G
Portfolio stress
Concentration map
Execution layer
HOLD / MONITOR / EXIT
Engine throughput
12
Indicators
3.2k
Data pts/h
98%
Sync score

Quantifies current cycle pressure using BRPS, MVRV and momentum context to identify late-stage acceleration risk.
Decision layer: timing

Measures concentration and downside sensitivity to avoid hidden fragility while returns are still expanding.
Decision layer: risk

Projects conservative, neutral and optimistic paths with explicit assumptions, not generic optimistic narratives.
Decision layer: planning

Combines environment + flow + structure to define whether the best action is hold, monitor, rotate or reduce.
Decision layer: action

Adds staged-exit logic and contribution discipline so gains are not given back during high-volatility turns.
Decision layer: defense

Answers with your real account context and current system state, turning complex data into practical next moves.
Decision layer: support
Architecture principle
No black-box recommendation: each decision is tied to measurable thresholds and can be audited by the user. This is critical for trust, consistency and long-term discipline.