Live condition · historical base rate

Realized volatility above its 90th percentile

One-minute realized volatility over the hour is above its own trailing 90th percentile for this market.

What is a base rate?

Firing now (provisional, current bucket)

The live read is not yet enabled. This surface reports the historical base rates below; the firing-now list turns on when the live evaluator is connected.

What has happened when it held

Historically, when Realized volatility above its 90th percentile held (50,044 occurrences in the scanned window, 48,812 with a computable 24h horizon), the market reached +5% within 24h in 15,874 of 48,812 (32.5) and drew down 10%+ in 3,905 of 48,812 (8.0). Maximum favorable (MFE) and maximum adverse (MAE) excursions, both computed forward.

Outcome distribution

WHAT FOLLOWED · ALL 50,044 MATCHES

45,248 of 49,804 (90.9%) reached +0% or more within 1 hour · smallest move size with matches, picked for you

Pick a window and a move size: how often did a move at least that big follow?

WINDOWMOVE SIZE

🔒 Measured after every match, never by keeping winners. 49,804 of the matches have a complete 1 hour forward; the other 240 are too recent to know.

What are MFE and MAE?

Why 72 hours can show fewer than 1 hour: a match too recent for a complete 72 hours is left out of that count entirely, even if it already reached the level within 1 hour. The two counts cover different sets of matches.

When they happened - one bar per UTC day, all 50,044 matches
247001235MATCHES PER UTC DAY · MAX 2470 ON 2026-08-302306149523391082845175719631740165219798362470107720761728191115509011732201922382258902165567721982088209314541022108-2408-3109-0709-142026-08-19 TO 2026-09-18 · 31 UTC DAYS · ZERO DAYS KEEP THEIR SLOT

About 1,614 a day, on 31 of 31 days: spread through the record rather than one event.

Where the next 30 minutes landed - 49,031 measured, 1,013 too recent
≥ +0: 22756 OF 49031234186740617873971573960312505244632962577607064284936228734367261282≤−100−50−30−20−15−10−5−2−1−0.5−0.2−0.1<00++0.1+0.2+0.5+1+2+5+10+15+20+30+50≥+400

Forward 30-minute returns across 49,031 matches: close to an even split, which is what a coin flip looks like.

How to read a distribution
Upside reached · 24hUpside reached (MFE, 24h)The most price moved up within 24h of each occurrence: a high-water mark, never a close. 48,812 with a complete 24h.
Drawdown · 24hDrawdown (MAE, 24h)The worst price moved against within 24h of each occurrence: the deepest point, never the close. 48,812 with a complete 24h.

Versus baseline

Historically, when any eligible minute in the window (baseline) held (25,055,492 occurrences in the scanned window, 23,275,902 with a computable 24h horizon), the market reached +5% within 24h in 6,865,175 of 23,275,902 (29.5) and drew down 10%+ in 1,423,136 of 23,275,902 (6.1). Maximum favorable (MFE) and maximum adverse (MAE) excursions, both computed forward.

By market

Markets where this condition occurred often enough in the window to carry its own statistically meaningful receipt:

Check our work: the key that re-runs this exact count (q#a5d2adb2)
grammar
research_query.v2
normalization
archive_normalization.v1
feature library
feature_defs.v1
dataset revision
8904ef0442c6f623ec772df2b59d7baf1e49aaa808b5b11ac31546605549e3bb
query hash
a5d2adb2540a5ab73acc23fca4ce1d6aad91b671e7386f24f39a94594f9a19c8
scanned window
2026-08-19T00:00:00.000Z to 2026-09-18T00:00:00.000Z (UTC)

Same key, same bytes. This receipt reruns; it does not retell. When the record grows, the dataset revision changes and says so.

Re-run this yourself, over the API or from an AI agent

This is the exact search definition behind the receipt. Send it to the key-authed research API (or the MCP research tool) and compare the bytes: a cached rerun is free.

{
  "schema_version": "research_query.v2",
  "normalization_version": "archive_normalization.v1",
  "feature_version": "feature_defs.v1",
  "target": "record_occurrences",
  "where": {
    "all": [
      [
        "feature.realized_vol_pctrank",
        "gte",
        0.9
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-08-19T00:00:00.000Z",
          "2026-09-18T00:00:00.000Z"
        ]
      ]
    ]
  },
  "sort": [
    "times.anchor_time",
    "desc"
  ],
  "page": {
    "limit": 50,
    "cursor": null
  }
}
curl -s https://app.edgedepth.com/api/v1/research/query \
  -H 'authorization: Bearer $EDGEDEPTH_API_KEY' \
  -H 'content-type: application/json' \
  -d '{"schema_version":"research_query.v2","normalization_version":"archive_normalization.v1","feature_version":"feature_defs.v1","target":"record_occurrences","where":{"all":[["feature.realized_vol_pctrank","gte",0.9],["times.anchor_time","between",["2026-08-19T00:00:00.000Z","2026-09-18T00:00:00.000Z"]]]},"sort":["times.anchor_time","desc"],"page":{"limit":50,"cursor":null}}'

How to read this

  • Counts ship with denominators: occurrences across the eligible symbol-buckets scanned. A rate is over the occurrences with a computable horizon (present), never the total.
  • Absent is absent. When a feature was not warm at a minute, that bucket leaves the denominator and is reported; it is never coerced to zero.
  • This selects a setup, never its outcome. The grammar forbids filtering on what followed (OUTCOME_IN_PREDICATE), so the distribution below is over every occurrence, not a survivorship-picked subset.

Occurrences are observed examples in a selected archive, not a guarantee. Outcomes are computed forward from each anchor and are descriptive, never a filter and never a prediction. Nothing here is trading advice.