S&P 500 (SPY)
Top drivers
⌁ mcp.call("adw-105") vADW-105-live-1.0 Enables traders to identify accelerating volatility regimes for timing entries or hedging based on statistically validated predictive power.
S&P 500 (SPY)
Top drivers
⌁ mcp.call("adw-105") vADW-105-live-1.0 A hedge-timing agent monitors ADW-105 daily; when ltvr_raw (tail variance fraction) pushes the score above 75 and the trend field reads 'rising' — the current score is 74.3, 83rd percentile of a 2,454-day history, rising — it automatically initiates a protective-put spread on the underlying index, sizing the hedge proportional to the distance of the LTVR score from the 90th percentile, and records the IOM's confidence and source_lineage in the trade memo. The 60-day rolling tail-variance decomposition gives the agent a statistically validated reason to act before realized vol spikes, rather than after.
A risk manager at a family office uses LTVR to distinguish between two superficially similar environments — moderately elevated realized vol with returns normally distributed around the mean (low LTVR) versus the same realized vol level but with variance concentrated in extreme return days (high LTVR). At a current 74.3 score the office knows variance is increasingly concentrated in the tails, which changes the protection strategy from simple delta hedges to convex payoff structures; this nuance was previously invisible in their standard deviation and beta reports.
60-day rolling window → tail (20th/80th pct) variance / total variance → LTVR ratio → percentile-rank → 0-100; high = variance concentrated in extremes
Version ADW-105-live-1.0 · validated to beat a naive baseline · benchmark: none