Condition · recorded history

One-sided tape: sellers

Taker buy ratio over the last 15 minutes has run at 0.38 or less: a persistently seller-heavy tape.

What is order flow?

Recorded window: 5 Oct 2026 to 3 Nov 2026 (UTC). Counted 4 Nov 2026 at 08:43 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 378 on BNBUSDT (0%) to 172 of 202 on CAPUSDT (85%).

Every market pooled, without context

What happened in the next 24 hours?

Reaching +5% was about as common as without it; falling to −10% was less common than without it.

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
21.7% · 48,062 of 221,332 minutes
Other minutes
25.3% · 4,185,345 of 16,558,014 minutes

Price touched −10% or lower

When this held
6.8% · 15,154 of 221,332 minutes
Other minutes
9.2% · 1,524,486 of 16,558,014 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 221,332 of 227,836 matches, pooled across 523 markets, with a full 24 hours after them. The 6,504 newer ones are left out, not counted as zero.

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

About 7,350 a day, on 31 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
Measured226,264226,264221,332205,901176,749
Too recent1,5721,5726,50421,93551,087
+0.1% or more196,735 (86.9%)210,867 (93.2%)214,752 (97.0%)201,945 (98.1%)174,367 (98.7%)
+0.2% or more171,777 (75.9%)197,486 (87.3%)208,982 (94.4%)198,455 (96.4%)172,300 (97.5%)
+0.5% or more108,359 (47.9%)158,909 (70.2%)191,665 (86.6%)187,828 (91.2%)165,702 (93.7%)
+1% or more48,688 (21.5%)107,486 (47.5%)164,371 (74.3%)171,038 (83.1%)155,004 (87.7%)
+2% or more12,202 (5.4%)49,444 (21.9%)120,285 (54.3%)142,185 (69.1%)135,634 (76.7%)
+5% or more1,138 (0.5%)8,566 (3.8%)48,062 (21.7%)82,002 (39.8%)90,689 (51.3%)
+10% or more208 (0.1%)1,567 (0.7%)14,313 (6.5%)35,675 (17.3%)50,042 (28.3%)
+15% or more83 (<0.1%)616 (0.3%)6,818 (3.1%)19,407 (9.4%)31,509 (17.8%)
+20% or more43 (<0.1%)303 (0.1%)3,717 (1.7%)11,916 (5.8%)21,300 (12.1%)
+30% or more13 (<0.1%)122 (0.1%)1,757 (0.8%)6,070 (2.9%)12,197 (6.9%)
+50% or more4 (<0.1%)43 (<0.1%)644 (0.3%)2,801 (1.4%)6,326 (3.6%)
+100% or more1 (<0.1%)7 (<0.1%)138 (0.1%)822 (0.4%)2,337 (1.3%)
+200% or more0 (0.0%)0 (0.0%)21 (<0.1%)285 (0.1%)888 (0.5%)
+400% or more0 (0.0%)0 (0.0%)1 (<0.1%)36 (<0.1%)231 (0.1%)
−0.1% or lower197,803 (87.4%)213,265 (94.3%)217,837 (98.4%)204,555 (99.3%)176,335 (99.8%)
−0.2% or lower174,263 (77.0%)202,053 (89.3%)214,911 (97.1%)203,486 (98.8%)176,019 (99.6%)
−0.5% or lower112,400 (49.7%)168,901 (74.6%)205,830 (93.0%)200,293 (97.3%)175,092 (99.1%)
−1% or lower50,096 (22.1%)120,060 (53.1%)189,054 (85.4%)194,117 (94.3%)173,387 (98.1%)
−2% or lower12,788 (5.7%)56,148 (24.8%)152,882 (69.1%)180,166 (87.5%)169,323 (95.8%)
−5% or lower1,384 (0.6%)8,605 (3.8%)69,760 (31.5%)139,088 (67.6%)154,647 (87.5%)
−10% or lower118 (0.1%)877 (0.4%)15,154 (6.8%)65,789 (32.0%)109,129 (61.7%)
−15% or lower43 (<0.1%)211 (0.1%)3,293 (1.5%)19,153 (9.3%)51,836 (29.3%)
−20% or lower15 (<0.1%)85 (<0.1%)1,113 (0.5%)5,537 (2.7%)19,204 (10.9%)
−30% or lower5 (<0.1%)24 (<0.1%)287 (0.1%)1,185 (0.6%)3,776 (2.1%)
−50% or lower0 (0.0%)0 (0.0%)36 (<0.1%)205 (0.1%)748 (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. 221,332 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. 221,332 with a complete 24 hours.
Price 30 minutes laterForward 30-minute returnForward 30-minute returns across 224,494 matches: close to an even split, which is what a coin flip looks like. 3,342 too recent.

How to read a distribution

Matches per UTC day

  • 5 Oct7,766 matches
  • 6 Oct7,866 matches
  • 7 Oct7,758 matches
  • 8 Oct7,473 matches
  • 9 Oct7,353 matches
  • 10 Oct7,995 matches
  • 11 Oct7,851 matches
  • 12 Oct7,719 matches
  • 13 Oct7,394 matches
  • 14 Oct7,516 matches
  • 15 Oct7,247 matches
  • 16 Oct7,418 matches
  • 17 Oct7,815 matches
  • 18 Oct7,837 matches
  • 19 Oct7,689 matches
  • 20 Oct7,458 matches
  • 21 Oct7,636 matches
  • 22 Oct7,706 matches
  • 23 Oct7,583 matches
  • 24 Oct7,443 matches
  • 25 Oct7,858 matches
  • 26 Oct7,157 matches
  • 27 Oct7,605 matches
  • 28 Oct7,502 matches
  • 29 Oct7,267 matches
  • 30 Oct6,758 matches
  • 31 Oct7,895 matches
  • 1 Nov7,848 matches
  • 2 Nov7,637 matches
  • 3 Nov7,774 matches
  • 4 Nov12 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 22,390,781 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#06cb7b63)

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
bb945bdd7f5be540c00ce63fbfee862a54d80082879732258d31356905b8bc2c
query hash
06cb7b63756553bc60faed409464c8a7e703fefbdbdd492c3f97e0fe31d0f661
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.taker_buy_ratio_15m",
        "lte",
        0.38
      ],
      [
        "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.taker_buy_ratio_15m","lte",0.38],["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.