How We Score Anomalies
Plain-English explanation; numbers below are illustrative and may evolve as we improve the engine.
Signals we observe
- Open Interest (OI) change vs rolling window
- Volume spike vs typical time-of-day baseline
- Implied Volatility (IV) shock/inflection
- VWAP divergence vs recent price path
Normalization & z-scores
We compute feature deltas relative to rolling means/medians with dispersion estimates, then convert to comparable scales (e.g., z-like scores). This avoids over-emphasizing noisy symbols.
Composite anomaly score
A weighted combination of the standardized features forms the headline score (0–100). Higher means “more unusual relative to recent context,” not “buy/sell.”
- Typical weights (illustrative): OI 30%, Volume 30%, IV 25%, VWAP 15%
- Caps and decay prevent one-off prints from dominating
- Time-of-day adjustment reduces opening/closing noise
Important caveats
- Scores reflect relative unusualness, not profitability
- Market regimes shift; baselines adapt but are not perfect
- Use judgment; TradingRadar is educational only
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