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: 5 Oct 2026 to 3 Nov 2026 (UTC). Counted 4 Nov 2026 at 08:16 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 135 markets
How results varied by market

Range across 135 markets with at least 30 measured: reached +5% within 24 hours in 0 of 74 on BNBUSDT (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
24.8% · 10,317 of 41,639 minutes
Other minutes
23.4% · 4,565,890 of 19,520,919 minutes

Price touched −10% or lower

When this held
10.3% · 4,268 of 41,639 minutes
Other minutes
8.3% · 1,617,469 of 19,520,919 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 41,639 of 42,597 matches, pooled across 523 markets, with a full 24 hours after them. The 958 newer ones are left out, not counted as zero.

When it happened
Matches per UTC day, 2026-10-05 to 2026-11-04

About 1,374 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
Measured42,49042,49041,63937,98932,745
Too recent1071079584,6089,852
+0.1% or more38,393 (90.4%)40,124 (94.4%)40,568 (97.4%)37,353 (98.3%)32,320 (98.7%)
+0.2% or more35,129 (82.7%)38,106 (89.7%)39,611 (95.1%)36,794 (96.9%)31,961 (97.6%)
+0.5% or more25,617 (60.3%)32,002 (75.3%)36,601 (87.9%)35,014 (92.2%)30,794 (94.0%)
+1% or more14,647 (34.5%)23,688 (55.7%)32,024 (76.9%)32,306 (85.0%)28,969 (88.5%)
+2% or more5,670 (13.3%)13,195 (31.1%)24,176 (58.1%)27,517 (72.4%)25,700 (78.5%)
+5% or more1,204 (2.8%)3,572 (8.4%)10,317 (24.8%)16,369 (43.1%)17,673 (54.0%)
+10% or more362 (0.9%)995 (2.3%)3,654 (8.8%)7,663 (20.2%)10,066 (30.7%)
+15% or more168 (0.4%)493 (1.2%)1,921 (4.6%)4,354 (11.5%)6,445 (19.7%)
+20% or more101 (0.2%)291 (0.7%)1,215 (2.9%)2,778 (7.3%)4,424 (13.5%)
+30% or more44 (0.1%)128 (0.3%)659 (1.6%)1,548 (4.1%)2,640 (8.1%)
+50% or more11 (<0.1%)44 (0.1%)267 (0.6%)765 (2.0%)1,432 (4.4%)
+100% or more3 (<0.1%)11 (<0.1%)86 (0.2%)237 (0.6%)532 (1.6%)
+200% or more1 (<0.1%)2 (<0.1%)23 (0.1%)82 (0.2%)204 (0.6%)
+400% or more0 (0.0%)0 (0.0%)3 (<0.1%)11 (<0.1%)43 (0.1%)
−0.1% or lower39,133 (92.1%)40,684 (95.7%)41,060 (98.6%)37,792 (99.5%)32,680 (99.8%)
−0.2% or lower36,220 (85.2%)39,145 (92.1%)40,586 (97.5%)37,628 (99.0%)32,615 (99.6%)
−0.5% or lower27,744 (65.3%)34,406 (81.0%)38,941 (93.5%)37,015 (97.4%)32,407 (99.0%)
−1% or lower16,907 (39.8%)27,162 (63.9%)36,275 (87.1%)35,966 (94.7%)32,057 (97.9%)
−2% or lower6,856 (16.1%)15,789 (37.2%)30,762 (73.9%)33,672 (88.6%)31,309 (95.6%)
−5% or lower1,262 (3.0%)4,034 (9.5%)15,639 (37.6%)26,628 (70.1%)28,444 (86.9%)
−10% or lower218 (0.5%)674 (1.6%)4,268 (10.3%)13,450 (35.4%)20,259 (61.9%)
−15% or lower89 (0.2%)227 (0.5%)1,241 (3.0%)4,525 (11.9%)10,437 (31.9%)
−20% or lower45 (0.1%)102 (0.2%)536 (1.3%)1,612 (4.2%)4,311 (13.2%)
−30% or lower14 (<0.1%)27 (0.1%)159 (0.4%)452 (1.2%)1,034 (3.2%)
−50% or lower0 (0.0%)2 (<0.1%)20 (<0.1%)83 (0.2%)235 (0.7%)

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. 41,639 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. 41,639 with a complete 24 hours.
Price 30 minutes laterForward 30-minute returnForward 30-minute returns across 42,309 matches: close to an even split, which is what a coin flip looks like. 288 too recent.

How to read a distribution

Matches per UTC day

  • 5 Oct1,800 matches
  • 6 Oct1,240 matches
  • 7 Oct1,476 matches
  • 8 Oct1,963 matches
  • 9 Oct480 matches
  • 10 Oct853 matches
  • 11 Oct1,662 matches
  • 12 Oct2,380 matches
  • 13 Oct901 matches
  • 14 Oct1,159 matches
  • 15 Oct1,459 matches
  • 16 Oct1,343 matches
  • 17 Oct1,237 matches
  • 18 Oct1,659 matches
  • 19 Oct1,072 matches
  • 20 Oct1,448 matches
  • 21 Oct1,283 matches
  • 22 Oct1,694 matches
  • 23 Oct2,115 matches
  • 24 Oct1,098 matches
  • 25 Oct1,291 matches
  • 26 Oct1,533 matches
  • 27 Oct1,363 matches
  • 28 Oct1,784 matches
  • 29 Oct2,066 matches
  • 30 Oct793 matches
  • 31 Oct611 matches
  • 1 Nov1,289 matches
  • 2 Nov2,372 matches
  • 3 Nov1,173 matches
  • 4 Nov0 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 22,374,118 eligible market-minutes (eligible_symbol_buckets) on 523 markets, 2026-10-05 00:00 to 2026-11-04 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#94937922)

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
57aa30b7ac8b244a7184f18bf2e275df61a7af4bb3f000812efc07efcfad52d5
query hash
9493792290cf9880412307887b31d602c1dd6ac5dfd6ee5d1df86c21cb3954a0
scanned window
2026-10-05T00:00:00.000Z to 2026-11-04T00:00:00.000Z (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",
        [
          "2026-10-05T00:00:00.000Z",
          "2026-11-04T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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",["2026-10-05T00:00:00.000Z","2026-11-04T00:00:00.000Z"]]]},"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.