Condition · recorded history

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?

Recorded window: 11 Sept 2026 to 10 Oct 2026 (UTC). Counted 11 Oct 2026 at 07:51 UTC.

Read it in context

  1. On one market

    Each market page compares that market with its own minutes, not with every market at once.

  2. Test it, then plan it

    Narrow it to your markets and dates in the Workbench. A tested result leads to Plan a trade, which measures what trading it would have paid after costs.

By market

Results vary by market. Compare a market before drawing a conclusion.

All 130 markets
How results varied by market

Range across 130 markets with at least 30 measured: reached +5% within 24 hours in 0 of 72 on PAXGUSDT (0%) to 74 of 88 on USELESSUSDT (84%).

Every market pooled, without context

What happened in the next 24 hours?

This condition showed no clear difference for either move.

Other minutes are the same markets and dates without this condition. Each percentage is the share of measured minutes that reached that move from the starting price.

Price touched +5% or higher

When this held
33.8% · 14,033 of 41,469 minutes
Other minutes
33.8% · 6,569,936 of 19,420,003 minutes

Price touched −10% or lower

When this held
6.8% · 2,837 of 41,469 minutes
Other minutes
6.0% · 1,173,399 of 19,420,003 minutes

Price can touch both levels within the same 24 hours.

Every matching minute counts, so one long run adds many near-identical minutes. Busy markets weigh most.

Every condition is measured over the same 24 hours, whatever the length of its own reading. Other windows and move sizes shows shorter and longer windows.

This counts how often price touched a level, not what trading it would have paid.

Sample and counting

Rates use the 41,469 of 42,122 matches, pooled across 524 markets, with a full 24 hours after them. The 653 newer ones are left out, not counted as zero.

When it happened
Matches per UTC day, 2026-09-11 to 2026-10-11

About 1,359 a day, on 30 of 31 days: spread through the record rather than one event.

Other windows and move sizes
Matches that reached each move within each window. Counts first; the measured row is what each rate is over.
Move1 hour4 hours24 hours72 hours7 days
Measured42,02742,02741,46939,37233,394
Too recent95956532,7508,728
+0.1% or more38,515 (91.6%)40,039 (95.3%)40,534 (97.7%)38,978 (99.0%)33,297 (99.7%)
+0.2% or more35,666 (84.9%)38,401 (91.4%)39,853 (96.1%)38,634 (98.1%)33,192 (99.4%)
+0.5% or more27,304 (65.0%)33,629 (80.0%)37,729 (91.0%)37,573 (95.4%)32,852 (98.4%)
+1% or more16,732 (39.8%)26,321 (62.6%)34,148 (82.3%)35,785 (90.9%)32,231 (96.5%)
+2% or more6,904 (16.4%)15,196 (36.2%)27,742 (66.9%)32,217 (81.8%)30,829 (92.3%)
+5% or more1,433 (3.4%)4,012 (9.5%)14,033 (33.8%)22,542 (57.3%)26,227 (78.5%)
+10% or more422 (1.0%)1,226 (2.9%)5,265 (12.7%)12,260 (31.1%)19,161 (57.4%)
+15% or more185 (0.4%)586 (1.4%)2,669 (6.4%)7,112 (18.1%)13,534 (40.5%)
+20% or more100 (0.2%)341 (0.8%)1,602 (3.9%)4,506 (11.4%)9,590 (28.7%)
+30% or more47 (0.1%)144 (0.3%)765 (1.8%)2,214 (5.6%)5,181 (15.5%)
+50% or more11 (<0.1%)52 (0.1%)328 (0.8%)936 (2.4%)2,100 (6.3%)
+100% or more3 (<0.1%)13 (<0.1%)102 (0.2%)268 (0.7%)639 (1.9%)
+200% or more1 (<0.1%)4 (<0.1%)26 (0.1%)85 (0.2%)236 (0.7%)
+400% or more0 (0.0%)1 (<0.1%)7 (<0.1%)23 (0.1%)73 (0.2%)
−0.1% or lower38,418 (91.4%)39,979 (95.1%)40,585 (97.9%)38,897 (98.8%)33,079 (99.1%)
−0.2% or lower35,504 (84.5%)38,338 (91.2%)39,896 (96.2%)38,497 (97.8%)32,813 (98.3%)
−0.5% or lower27,336 (65.0%)33,666 (80.1%)37,801 (91.2%)37,351 (94.9%)32,056 (96.0%)
−1% or lower17,026 (40.5%)26,506 (63.1%)34,161 (82.4%)35,460 (90.1%)30,715 (92.0%)
−2% or lower6,890 (16.4%)15,354 (36.5%)27,284 (65.8%)31,826 (80.8%)28,343 (84.9%)
−5% or lower1,196 (2.8%)3,592 (8.5%)12,955 (31.2%)21,966 (55.8%)21,321 (63.8%)
−10% or lower255 (0.6%)632 (1.5%)2,837 (6.8%)8,041 (20.4%)9,863 (29.5%)
−15% or lower89 (0.2%)213 (0.5%)821 (2.0%)2,463 (6.3%)3,824 (11.5%)
−20% or lower54 (0.1%)109 (0.3%)394 (1.0%)1,006 (2.6%)1,712 (5.1%)
−30% or lower20 (<0.1%)37 (0.1%)127 (0.3%)306 (0.8%)564 (1.7%)
−50% or lower3 (<0.1%)6 (<0.1%)20 (<0.1%)52 (0.1%)121 (0.4%)

Each window counts only matches old enough for it, so a longer window can show fewer.

Distributions and daily counts
Upside reached · 24hUpside reached (MFE, 24h)The most price moved up within 24 hours of each match: a high-water mark, never a close. 41,469 with a complete 24 hours.
Drawdown · 24hDrawdown (MAE, 24h)The worst price moved against within 24 hours of each match: the deepest point, never the close. 41,469 with a complete 24 hours.
Price 30 minutes laterForward 30-minute returnForward 30-minute returns across 41,870 matches: close to an even split, which is what a coin flip looks like. 252 too recent.

How to read a distribution

Matches per UTC day

  • 11 Sep1,389 matches
  • 12 Sep645 matches
  • 13 Sep1,924 matches
  • 14 Sep1,676 matches
  • 15 Sep1,835 matches
  • 16 Sep1,088 matches
  • 17 Sep781 matches
  • 18 Sep1,899 matches
  • 19 Sep1,506 matches
  • 20 Sep1,399 matches
  • 21 Sep1,748 matches
  • 22 Sep1,608 matches
  • 23 Sep1,744 matches
  • 24 Sep1,096 matches
  • 25 Sep1,399 matches
  • 26 Sep1,297 matches
  • 27 Sep1,575 matches
  • 28 Sep1,819 matches
  • 29 Sep1,284 matches
  • 30 Sep1,560 matches
  • 1 Oct1,418 matches
  • 2 Oct1,841 matches
  • 3 Oct549 matches
  • 4 Oct1,234 matches
  • 5 Oct1,796 matches
  • 6 Oct1,240 matches
  • 7 Oct1,476 matches
  • 8 Oct1,963 matches
  • 9 Oct480 matches
  • 10 Oct853 matches
  • 11 Oct0 matches
How this is counted
  • Each rate counts only matches with the full window after them.
  • A minute where a reading was missing is left out and reported, not read as zero.
  • The condition picks the setup, never the outcome: a definition that filters on what followed is rejected (OUTCOME_IN_PREDICATE). Every match is measured, winners and losers alike.
  • "Other minutes" is every other eligible minute in the same markets and window. It is a reference, not a control group.
  • "Reached +5%" uses the highest price inside the window (maximum favourable excursion, MFE); "fell to −10%" uses the lowest (maximum adverse excursion, MAE). Neither is the close.
  • Checked 22,558,120 eligible market-minutes (eligible_symbol_buckets) on 524 markets, 2026-09-11 00:00 to 2026-10-11 00:00 UTC.
  • These counts pool every market, so markets that match often weigh more. Each market page compares that market with its own reference.
  • Live status is not connected yet, so this page is recorded history only.

What are MFE and MAE?

Reproducibility key (q#790a8690)

The key that re-runs this exact count. Same key, same bytes; when the record grows, the dataset revision changes.

grammar
research_query.v2
normalization
archive_normalization.v1
feature library
feature_defs.v1
dataset revision
43d9501eae1d9946507cb2c6ad935f27e3eb1f85971bc6c6882076af0068a010
query hash
790a869070debc1d886867837d6f93c667b4ccb745943c9d8553183da81677dc
scanned window
2026-09-11T00:00:00.000Z to 2026-10-11T00:00:00.000Z (UTC)

Re-run over the API

The exact search definition behind this count. 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",
        [
          "2026-09-11T00:00:00.000Z",
          "2026-10-11T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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",["2026-09-11T00:00:00.000Z","2026-10-11T00:00:00.000Z"]]]},"sort":["times.anchor_time","desc"],"page":{"limit":50,"cursor":null}}'

Past examples from the record, not a guarantee or a prediction. Nothing here is trading advice.