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Markets/Vol · Index Paid

Phase-Slope

Identify cyclical volatility regime shifts to time entries and exits with higher predictive accuracy than standard volatility metrics.

Refresh
daily
History
9.9 yrs
Plan
Paid
65.8/ 100
Rising

S&P 500 (SPY)

2016-08-08 9.9 yrs · 2,485 pts 2026-06-26

Top drivers

vol_slope_10drealized_vol_20d_annslope_percentile_rank
⌁ mcp.call("adw-103") vADW-103-live-1.0
Use cases

What it unlocks

For an agent

A volatility-regime routing agent checks ADW-103 each day; when vol_slope_10d turns positive and the percentile-rank score rises above 60 (current reading is 65.8, 62nd percentile of a 2,485-day history), it shifts the portfolio's options book from short-gamma to long-gamma posture by auto-rolling near-dated short straddles into calendar spreads, attaching the IOM's trend field and methodology_version to each trade ticket so the risk-ops team can reconstruct the regime context months later. A falling score below 35 reverses the posture and signals that the OLS slope of 20-day realized vol has turned negative, indicating a calm-regime entry.

📈

For the business

A derivatives strategist at a prime brokerage uses ADW-103's realized_vol_20d_ann alongside the 10-day OLS slope to advise institutional clients on entry timing for variance swaps — specifically, entering long variance when Phase-Slope is low (vol slope negative, cheapening realized vol) and exiting when the score approaches the top quartile. Compared to simply watching the VIX term structure, Phase-Slope provides a ticker-grain, percentile-ranked signal that normalizes the slope magnitude against the full history, so the strategist can compare regimes across years rather than eyeballing a raw number.

Forward outlook

Prediction

Horizon
Recommended use
Identify cyclical vol turning points. Score > 60 = vol accelerating — consider defensive positioning or long-vol strategies.
Methodology

How it's built

20-day rolling realized vol series → 10-day OLS slope → percentile-rank over 252-day slope history → 0-100 score

Stooq daily OHLCV (SPY, keyless)

Version ADW-103-live-1.0 · validated to beat a naive baseline · benchmark: none

Live response

The object an agent receives

One call returns the answer with its reasoning attached — the live Intelligence Object for ADW-103.

GET /v1/intelligence/adw-103
{
  "product_id": "ADW-103",
  "entity": "S&P 500 (SPY)",
  "score": 65.8,
  "trend": "rising",
  "confidence": 0.78,
  "top_drivers": [
    {
      "factor": "vol_slope_10d",
      "contribution": 0.001618
    },
    {
      "factor": "realized_vol_20d_ann",
      "contribution": 0.1622
    },
    {
      "factor": "slope_percentile_rank",
      "contribution": 0.6577
    }
  ],
  "recommended_use": "Identify cyclical vol turning points. Score > 60 = vol accelerating — consider defensive positioning or long-vol strategies.",
  "methodology_version": "ADW-103-live-1.0",
  "freshness": "2026-06-26T20:00:16.189Z",
  "coverage": "S&P 500 ETF daily returns — 252 days",
  "source_lineage": [
    "Stooq daily OHLCV (SPY)"
  ],
  "allowed_use": "informational",
  "realized_vol_20d_ann": 0.1622,
  "vol_slope_10d": 0.001618,
  "vol_window_days": 20,
  "slope_window_days": 10,
  "validation_status": "descriptive"
}
IOM schema

The agent-callable contract

Every product conforms to the Intelligence Object Model — typed, versioned, and discoverable.

  • product_id
  • entity
  • score
  • trend
  • confidence
  • top_drivers
  • prediction_horizon
  • recommended_use
  • methodology_version
  • freshness
  • coverage
  • source_lineage
  • allowed_use
MCP tool: adw.adw_103
Access options

Consume it your way

  • Dashboard

    Read the score + drivers in the console.

  • REST API

    /v1/intelligence/adw-103

  • MCP tool

    adw.adw_103

  • Marketplace

    Discoverable by any MCP agent via the MCP registry.

  • White-label

    Embed under your own brand (Platinum).

Plan requirement

Depth scales with the plan

  • Free Sample object — current score only
  • Gold Full drivers + history + confidence
  • Platinum White-label + bulk + SLA
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Call ADW-103 in one request.