S&P 500 (SPY)
Top drivers
⌁ mcp.call("adw-101") vADW-101-live-1.0 Enables traders to anticipate imminent volatility regime shifts to optimize position sizing and hedge timing before market instability occurs.
S&P 500 (SPY)
Top drivers
⌁ mcp.call("adw-101") vADW-101-live-1.0 A systematic options-desk agent checks ADW-101 each morning before opening; when EWC score crosses above 65 with a rising trend (current score 59.0, at the 40th percentile of its 2,454-day history, mean 67.2), it automatically tightens position-size limits by 20% and routes an alert to the vol-desk to review near-dated straddle exposure. Because source_lineage pins the exact Stooq daily OHLCV vintage and methodology_version locks the 60-day rolling z-score / CUSUM(k=0.5) / Shannon-entropy pipeline, the agent's risk-management log satisfies the trade-rationale audit trail required by the desk's internal controls.
A hedge-fund portfolio manager uses the EWC cusum_statistic alongside the 0-100 score to time when to convert a directional equity position into a delta-neutral spread — specifically acting when the CUSUM accumulates enough signal to push EWC above its own 252-day mean. Unlike raw VIX, which reacts after realized vol spikes, EWC's entropy weighting detects the statistical entropy of the return stream before the vol regime breaks, giving the PM an average of several sessions of lead time to adjust hedges rather than chasing a moved market.
Log-returns → 60-day rolling z-score → CUSUM(k=0.5) → Shannon entropy weight → sigmoid-normalize over 252-day history → 0-100 score
Version ADW-101-live-1.0 · validated to beat a naive baseline · benchmark: none packaged
One call returns the answer with its reasoning attached — the live Intelligence Object for ADW-101.
{
"product_id": "ADW-101",
"entity": "S&P 500 (SPY)",
"score": 59,
"trend": "falling",
"confidence": 0.82,
"top_drivers": [
{
"factor": "cusum_accumulation",
"contribution": 0
},
{
"factor": "ewc_raw",
"contribution": 0
},
{
"factor": "ewc_percentile_rank",
"contribution": 0.5896
}
],
"recommended_use": "Anticipate volatility regime shifts; high score = high-probability structural break. Hedge or size-reduce when score > 70.",
"methodology_version": "ADW-101-live-1.0",
"freshness": "2026-06-26T19:00:47.495Z",
"coverage": "S&P 500 ETF daily OHLCV — 252 trading days",
"source_lineage": [
"Stooq daily OHLCV (SPY)"
],
"allowed_use": "informational",
"ewc_raw": 0,
"cusum_statistic": 0,
"window_days": 60,
"slack_k": 0.5,
"validation_status": "descriptive"
} Every product conforms to the Intelligence Object Model — typed, versioned, and discoverable.
Dashboard
Read the score + drivers in the console.
REST API
/v1/intelligence/adw-101
MCP tool
adw.adw_101
Marketplace
Discoverable by any MCP agent via the MCP registry.
White-label
Embed under your own brand (Platinum).
Enables traders to detect early-stage increases in fat-tail risk to prevent catastrophic drawdowns during market stress events.
Method: 252-day baseline σ → threshold T=1.5σ → P_base + P_recent (20-day) tail exceedance rates → Shift = P_recent−P_base → sigmoid → 0-100
Identify cyclical volatility regime shifts to time entries and exits with higher predictive accuracy than standard volatility metrics.
Method: 20-day rolling realized vol series → 10-day OLS slope → percentile-rank over 252-day slope history → 0-100 score
Helps traders identify assets with expanding volatility ranges to anticipate breakout opportunities and optimize entry timing.
Method: True Range per bar → ATR-14 / ATR-252 ratio → percentile-rank vs rolling history → 0-100 score; >1 = range expanding vs baseline