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Quantitative Signal System

The NataPulse quantitative system transforms canonical market candles into structured probabilistic evidence.

It is deliberately separated from the public event stream. Not every model output becomes a NataPulse event.

Market providers
→ canonical OHLCV candles
→ candle-quality snapshot
→ quality gate
→ quantitative inference
→ stored quant signal
→ selective promotion policy
→ optional market_quant event
→ cluster, report, or research evidence

The current public model supports:

  • Forecast: a hedged bullish, neutral, or bearish bias with strength.
  • Volatility: expected volatility evidence relative to the evaluated window.
  • Anomaly: a score indicating unusual short-term behavior.

Signals can also expose timeframe, lookback or horizon, confidence, generation time, data quality, source-data references, and model provenance where product-safe.

Inference requires a usable candle window. Missing, duplicate, stale, incomplete, or invalid data can suppress generation or mark the result as degraded.

A strong-looking signal with poor input quality should not be treated as strong evidence.

A signal becomes a public market_quant event only when the promotion policy finds sufficient evidence. Conceptually, promotion requires either:

  • at least one strong trigger; or
  • multiple weaker, mutually supporting triggers.

Strong triggers can include a high anomaly, a substantial volatility spike, or agreement across timeframes. Weaker triggers can include an elevated anomaly, moderate volatility change, a strong non-neutral forecast, or market-volume confirmation.

One weak directional forecast is not enough by itself.

A promoted quant event can attach to an existing active cluster for the same asset as quantitative evidence. A single quant signal does not create a persistent cluster by itself.

Valid quant signals can appear in reports and Deep Research. When no other source confirms them, the system marks the evidence as unconfirmed and avoids using it as the sole basis for a directional conclusion.