Condition · recorded history

One-sided tape: buyers

Taker buy ratio over the last 15 minutes has run at 0.62 or more: a persistently buyer-heavy tape.

What is order flow?

Recorded window: 5 Oct 2026 to 3 Nov 2026 (UTC). Counted 4 Nov 2026 at 08:21 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 134 markets with at least 30 measured: reached +5% within 24 hours in 0 of 356 on BNBUSDT (0%) to 198 of 227 on CAPUSDT (87%).

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
21.1% · 43,817 of 207,933 minutes
Other minutes
25.3% · 4,360,476 of 17,247,404 minutes

Price touched −10% or lower

When this held
6.7% · 13,853 of 207,933 minutes
Other minutes
9.2% · 1,585,196 of 17,247,404 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 207,933 of 214,091 matches, pooled across 523 markets, with a full 24 hours after them. The 6,158 newer ones are left out, not counted as zero.

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

About 6,906 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
Measured212,762212,762207,933193,162165,312
Too recent1,3291,3296,15820,92948,779
+0.1% or more181,353 (85.2%)196,544 (92.4%)201,037 (96.7%)188,948 (97.8%)162,741 (98.4%)
+0.2% or more156,822 (73.7%)183,464 (86.2%)195,433 (94.0%)185,517 (96.0%)160,700 (97.2%)
+0.5% or more97,679 (45.9%)147,197 (69.2%)178,916 (86.0%)175,334 (90.8%)154,397 (93.4%)
+1% or more43,662 (20.5%)98,991 (46.5%)153,173 (73.7%)159,584 (82.6%)144,346 (87.3%)
+2% or more11,191 (5.3%)44,938 (21.1%)111,195 (53.5%)132,078 (68.4%)125,963 (76.2%)
+5% or more1,116 (0.5%)7,800 (3.7%)43,817 (21.1%)75,359 (39.0%)83,570 (50.6%)
+10% or more203 (0.1%)1,401 (0.7%)12,915 (6.2%)32,324 (16.7%)45,777 (27.7%)
+15% or more86 (<0.1%)581 (0.3%)6,175 (3.0%)17,505 (9.1%)28,690 (17.4%)
+20% or more45 (<0.1%)304 (0.1%)3,386 (1.6%)10,741 (5.6%)19,385 (11.7%)
+30% or more18 (<0.1%)140 (0.1%)1,641 (0.8%)5,508 (2.9%)11,110 (6.7%)
+50% or more10 (<0.1%)50 (<0.1%)608 (0.3%)2,494 (1.3%)5,748 (3.5%)
+100% or more1 (<0.1%)10 (<0.1%)150 (0.1%)700 (0.4%)2,061 (1.2%)
+200% or more0 (0.0%)0 (0.0%)22 (<0.1%)261 (0.1%)819 (0.5%)
+400% or more0 (0.0%)0 (0.0%)1 (<0.1%)39 (<0.1%)223 (0.1%)
−0.1% or lower188,613 (88.6%)201,606 (94.8%)204,867 (98.5%)192,024 (99.4%)164,963 (99.8%)
−0.2% or lower166,457 (78.2%)191,017 (89.8%)201,977 (97.1%)190,971 (98.9%)164,666 (99.6%)
−0.5% or lower107,072 (50.3%)159,150 (74.8%)193,282 (93.0%)187,884 (97.3%)163,759 (99.1%)
−1% or lower46,488 (21.8%)112,176 (52.7%)177,587 (85.4%)182,114 (94.3%)162,192 (98.1%)
−2% or lower10,723 (5.0%)51,711 (24.3%)143,416 (69.0%)168,920 (87.4%)158,349 (95.8%)
−5% or lower932 (0.4%)7,472 (3.5%)64,952 (31.2%)130,497 (67.6%)144,818 (87.6%)
−10% or lower103 (<0.1%)781 (0.4%)13,853 (6.7%)61,379 (31.8%)102,275 (61.9%)
−15% or lower32 (<0.1%)187 (0.1%)2,955 (1.4%)17,688 (9.2%)47,959 (29.0%)
−20% or lower12 (<0.1%)73 (<0.1%)1,017 (0.5%)4,979 (2.6%)17,382 (10.5%)
−30% or lower2 (<0.1%)21 (<0.1%)251 (0.1%)1,049 (0.5%)3,344 (2.0%)
−50% or lower0 (0.0%)0 (0.0%)40 (<0.1%)199 (0.1%)670 (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. 207,933 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. 207,933 with a complete 24 hours.
Price 30 minutes laterForward 30-minute returnForward 30-minute returns across 210,955 matches: close to an even split, which is what a coin flip looks like. 3,136 too recent.

How to read a distribution

Matches per UTC day

  • 5 Oct7,297 matches
  • 6 Oct7,318 matches
  • 7 Oct6,780 matches
  • 8 Oct6,450 matches
  • 9 Oct7,377 matches
  • 10 Oct7,454 matches
  • 11 Oct7,460 matches
  • 12 Oct6,831 matches
  • 13 Oct6,944 matches
  • 14 Oct7,000 matches
  • 15 Oct6,539 matches
  • 16 Oct7,262 matches
  • 17 Oct7,479 matches
  • 18 Oct7,230 matches
  • 19 Oct7,215 matches
  • 20 Oct7,090 matches
  • 21 Oct7,249 matches
  • 22 Oct7,179 matches
  • 23 Oct7,074 matches
  • 24 Oct7,230 matches
  • 25 Oct7,048 matches
  • 26 Oct7,030 matches
  • 27 Oct7,280 matches
  • 28 Oct7,156 matches
  • 29 Oct6,539 matches
  • 30 Oct6,790 matches
  • 31 Oct7,322 matches
  • 1 Nov7,575 matches
  • 2 Nov7,375 matches
  • 3 Nov7,514 matches
  • 4 Nov4 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#b8627e7c)

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
096e638cd739ac15f3ac743d529a58bc62bd0df9ac6d6fcaba34c27cfeeb7cb3
query hash
b8627e7cde40fc6476fbd04f920643c801d7a9ece12f71a79bbb81012382241f
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",
        0.62
      ],
      [
        "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",0.62],["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.