Condition · recorded history

Two-thirds of the tape on one side

Taker buy ratio over the last 15 minutes has run at two-thirds or more, a persistently one-sided tape.

What is order flow?

Recorded window: 5 Oct 2026 to 3 Nov 2026 (UTC). Counted 4 Nov 2026 at 08:10 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 132 markets
How results varied by market

Range across 128 markets with at least 30 measured: reached +5% within 24 hours in 0 of 250 on BNBUSDT (0%) to 108 of 121 on CAPUSDT (89%).

Every market pooled, without context

What happened in the next 24 hours?

Both moves were less common than on minutes 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
20.0% · 33,828 of 169,119 minutes
Other minutes
25.1% · 4,634,669 of 18,494,569 minutes

Price touched −10% or lower

When this held
6.1% · 10,254 of 169,119 minutes
Other minutes
9.0% · 1,669,779 of 18,494,569 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 169,119 of 174,417 matches, pooled across 523 markets, with a full 24 hours after them. The 5,298 newer ones are left out, not counted as zero.

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

About 5,626 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
Measured173,164173,164169,119156,794134,482
Too recent1,2531,2535,29817,62339,935
+0.1% or more146,616 (84.7%)159,496 (92.1%)163,361 (96.6%)153,269 (97.8%)132,355 (98.4%)
+0.2% or more126,278 (72.9%)148,665 (85.9%)158,658 (93.8%)150,464 (96.0%)130,689 (97.2%)
+0.5% or more77,191 (44.6%)118,397 (68.4%)144,752 (85.6%)142,027 (90.6%)125,470 (93.3%)
+1% or more33,224 (19.2%)78,376 (45.3%)123,281 (72.9%)128,887 (82.2%)117,160 (87.1%)
+2% or more8,022 (4.6%)34,436 (19.9%)88,612 (52.4%)106,104 (67.7%)101,878 (75.8%)
+5% or more738 (0.4%)5,466 (3.2%)33,828 (20.0%)59,492 (37.9%)66,923 (49.8%)
+10% or more133 (0.1%)915 (0.5%)9,509 (5.6%)24,928 (15.9%)36,240 (26.9%)
+15% or more51 (<0.1%)373 (0.2%)4,444 (2.6%)13,260 (8.5%)22,596 (16.8%)
+20% or more26 (<0.1%)191 (0.1%)2,407 (1.4%)8,015 (5.1%)15,181 (11.3%)
+30% or more13 (<0.1%)84 (<0.1%)1,141 (0.7%)4,042 (2.6%)8,573 (6.4%)
+50% or more9 (<0.1%)33 (<0.1%)425 (0.3%)1,826 (1.2%)4,376 (3.3%)
+100% or more1 (<0.1%)6 (<0.1%)93 (0.1%)494 (0.3%)1,553 (1.2%)
+200% or more0 (0.0%)0 (0.0%)11 (<0.1%)190 (0.1%)633 (0.5%)
+400% or more0 (0.0%)0 (0.0%)0 (0.0%)33 (<0.1%)178 (0.1%)
−0.1% or lower153,049 (88.4%)163,996 (94.7%)166,685 (98.6%)155,911 (99.4%)134,205 (99.8%)
−0.2% or lower134,396 (77.6%)155,085 (89.6%)164,331 (97.2%)155,081 (98.9%)133,956 (99.6%)
−0.5% or lower84,841 (49.0%)128,368 (74.1%)157,057 (92.9%)152,481 (97.2%)133,213 (99.1%)
−1% or lower35,315 (20.4%)89,330 (51.6%)144,065 (85.2%)147,801 (94.3%)131,868 (98.1%)
−2% or lower7,372 (4.3%)39,803 (23.0%)115,864 (68.5%)137,029 (87.4%)128,730 (95.7%)
−5% or lower602 (0.3%)5,270 (3.0%)51,256 (30.3%)105,670 (67.4%)117,620 (87.5%)
−10% or lower69 (<0.1%)514 (0.3%)10,254 (6.1%)48,810 (31.1%)82,751 (61.5%)
−15% or lower20 (<0.1%)109 (0.1%)2,036 (1.2%)13,414 (8.6%)37,987 (28.2%)
−20% or lower8 (<0.1%)49 (<0.1%)644 (0.4%)3,507 (2.2%)13,146 (9.8%)
−30% or lower2 (<0.1%)14 (<0.1%)158 (0.1%)678 (0.4%)2,411 (1.8%)
−50% or lower0 (0.0%)0 (0.0%)27 (<0.1%)148 (0.1%)489 (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. 169,119 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. 169,119 with a complete 24 hours.
Price 30 minutes laterForward 30-minute returnForward 30-minute returns across 171,560 matches: close to an even split, which is what a coin flip looks like. 2,857 too recent.

How to read a distribution

Matches per UTC day

  • 5 Oct6,005 matches
  • 6 Oct6,124 matches
  • 7 Oct5,479 matches
  • 8 Oct5,028 matches
  • 9 Oct6,079 matches
  • 10 Oct6,232 matches
  • 11 Oct6,203 matches
  • 12 Oct5,421 matches
  • 13 Oct5,494 matches
  • 14 Oct5,629 matches
  • 15 Oct5,015 matches
  • 16 Oct5,890 matches
  • 17 Oct6,179 matches
  • 18 Oct5,873 matches
  • 19 Oct5,928 matches
  • 20 Oct5,767 matches
  • 21 Oct6,004 matches
  • 22 Oct5,881 matches
  • 23 Oct5,706 matches
  • 24 Oct5,904 matches
  • 25 Oct5,859 matches
  • 26 Oct5,648 matches
  • 27 Oct5,996 matches
  • 28 Oct5,895 matches
  • 29 Oct5,065 matches
  • 30 Oct5,203 matches
  • 31 Oct6,108 matches
  • 1 Nov6,432 matches
  • 2 Nov6,086 matches
  • 3 Nov6,281 matches
  • 4 Nov3 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#c9ca1b8c)

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
d491c150eb015b6f1e0447c384d7a98cb91630f0271868a9bfd50d668e8f2ffd
query hash
c9ca1b8c9bb2fe16653c4243a46a9cdb3af04a91c1a8a220eab9493b98495dc3
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",
        "gte",
        0.66
      ],
      [
        "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","gte",0.66],["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.