Decision intelligence

    Institutional-grade intelligence for individual investors.

    The platform architecture is built to be explainable, fast and operationally useful at portfolio level.

    Real-time data processing

    Live pipeline running across market, cycle and portfolio layers

    Data is continuously ingested, normalized and scored so each decision signal arrives with context, not noise.

    Macro signals

    USD/BRL + DXY

    Synced

    Cycle model

    MVRV + BRPS + F&G

    Processing

    Portfolio stress

    Concentration map

    Updated

    Execution layer

    HOLD / MONITOR / EXIT

    Ready
    Neural data network

    Engine throughput

    24/7

    12

    Indicators

    3.2k

    Data pts/h

    98%

    Sync score

    Ingestion96%
    Normalization89%
    Scoring93%
    Risk mapping91%
    Decision output98%
    Cycle pressure score visual
    Live module

    Cycle pressure score

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

    Decision layer: timing

    Portfolio stress map visual
    Live module

    Portfolio stress map

    Measures concentration and downside sensitivity to avoid hidden fragility while returns are still expanding.

    Decision layer: risk

    Scenario stack visual
    Live module

    Scenario stack

    Projects conservative, neutral and optimistic paths with explicit assumptions, not generic optimistic narratives.

    Decision layer: planning

    Tactical direction visual
    Live module

    Tactical direction

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

    Decision layer: action

    Capital protection protocol visual
    Live module

    Capital protection protocol

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

    Decision layer: defense

    AI contextual assistant visual
    Live module

    AI contextual assistant

    Answers with your real account context and current system state, turning complex data into practical next moves.

    Decision layer: support

    Architecture principle

    Transparent logic. Explicit thresholds.

    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.