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.

Recorded window: 9 Sept 2026 to 8 Oct 2026 (UTC). Counted 10 Oct 2026 at 08:55 UTC.

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: 29.1% · 50,990 of 175,449 minutes
Other minutes: 34.5% · 6,603,854 of 19,132,781 minutes

Price touched −10% or lower

When this held: 4.3% · 7,498 of 175,449 minutes
Other minutes: 6.6% · 1,270,033 of 19,132,781 minutes

Price can touch both levels within the same 24 hours.

Sample and counting

Rates use the 175,449 of 177,006 matches, pooled across 524 markets, with a full 24 hours after them. The 1,557 newer ones are left out, not counted as zero.

Edit this test in Workbench

By market

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

Most matches:TRXUSDT COWUSDT HFTUSDT PAXGUSDT TAKEUSDT TUSDT

All 127 markets

1000BONKUSDT 1000PEPEUSDT 1000RATSUSDT 1000SHIBUSDT 4USDT AAVEUSDT ACEUSDT ADAUSDT AINUSDT AIOUSDT AKEUSDT APRUSDT APTUSDT ARBUSDT ARKUSDT ASTERUSDT ATOMUSDT AVAXUSDT BCHUSDT BICOUSDT BLESSUSDT BLUAIUSDT BMTUSDT BNBUSDT BOMEUSDT BRUSDT BTCUSDT BTRUSDT BTWUSDT BULLAUSDT CAPUSDT COTIUSDT COWUSDT CYSUSDT DASHUSDT DEXEUSDT DOGEUSDT DOTUSDT EDENUSDT ENAUSDT ESPORTSUSDT ESPUSDT ETHUSDT EULUSDT FARTCOINUSDT FILUSDT FLOCKUSDT GIGGLEUSDT GPSUSDT GRVTUSDT GUSDT GWEIUSDT HBARUSDT HEIUSDT HEMIUSDT HFTUSDT HOMEUSDT HYPEUSDT INJUSDT IOSTUSDT KAITOUSDT KOMAUSDT LABUSDT LAUSDT LINKUSDT LITUSDT LSKUSDT LTCUSDT MAGMAUSDT MARSCOINUSDT MMTUSDT MOVRUSDT MUBARAKUSDT NEARUSDT NILUSDT ONDOUSDT ONEUSDT ONGUSDT ONUSDT OPUSDT ORDIUSDT PAXGUSDT PENGUUSDT PHAUSDT POLUSDT PONSUSDT PORTALUSDT PROMUSDT PUMPUSDT QNTUSDT QUSDT RAYSOLUSDT RIFUSDT SAGAUSDT SEIUSDT SKRUSDT SKYAIUSDT SOLUSDT SOONUSDT SOPHUSDT SUIUSDT SYNUSDT TACUSDT TAKEUSDT TAOUSDT TIAUSDT TRUMPUSDT TRXUSDT TUSDT UAIUSDT UBUSDT UNIUSDT USELESSUSDT VELVETUSDT VTHOUSDT VVVUSDT WIFUSDT WLDUSDT WLFIUSDT XLMUSDT XMRUSDT XPLUSDT XRPUSDT ZAMAUSDT ZECUSDT ZKCUSDT ZROUSDT

How results varied by market

Range across 123 markets with at least 30 measured: reached +5% within 24 hours in 0 of 384 on PAXGUSDT (0%) to 108 of 121 on CAPUSDT (89%).

When it happened

About 5,710 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.
Move	1 hour	4 hours	24 hours	72 hours	7 days
Measured	175,449	175,449	175,449	166,795	142,253
Too recent	1,557	1,557	1,557	10,211	34,753
+0.1% or more	151,795 (86.5%)	164,514 (93.8%)	171,386 (97.7%)	164,786 (98.8%)	141,606 (99.5%)
+0.2% or more	133,218 (75.9%)	155,448 (88.6%)	168,114 (95.8%)	163,210 (97.9%)	141,120 (99.2%)
+0.5% or more	84,709 (48.3%)	128,688 (73.3%)	157,943 (90.0%)	158,158 (94.8%)	139,521 (98.1%)
+1% or more	38,373 (21.9%)	90,445 (51.6%)	141,603 (80.7%)	149,837 (89.8%)	136,633 (96.0%)
+2% or more	9,531 (5.4%)	42,438 (24.2%)	112,074 (63.9%)	133,675 (80.1%)	130,348 (91.6%)
+5% or more	968 (0.6%)	6,795 (3.9%)	50,990 (29.1%)	92,173 (55.3%)	109,820 (77.2%)
+10% or more	187 (0.1%)	1,314 (0.7%)	15,278 (8.7%)	48,911 (29.3%)	78,519 (55.2%)
+15% or more	74 (<0.1%)	502 (0.3%)	6,775 (3.9%)	26,332 (15.8%)	54,535 (38.3%)
+20% or more	34 (<0.1%)	245 (0.1%)	3,549 (2.0%)	15,545 (9.3%)	37,846 (26.6%)
+30% or more	16 (<0.1%)	117 (0.1%)	1,501 (0.9%)	6,857 (4.1%)	19,776 (13.9%)
+50% or more	6 (<0.1%)	40 (<0.1%)	606 (0.3%)	2,739 (1.6%)	7,721 (5.4%)
+100% or more	1 (<0.1%)	9 (<0.1%)	134 (0.1%)	689 (0.4%)	2,177 (1.5%)
+200% or more	0 (0.0%)	2 (<0.1%)	24 (<0.1%)	177 (0.1%)	731 (0.5%)
+400% or more	0 (0.0%)	0 (0.0%)	3 (<0.1%)	28 (<0.1%)	133 (0.1%)
−0.1% or lower	154,179 (87.9%)	165,122 (94.1%)	171,493 (97.7%)	164,415 (98.6%)	140,695 (98.9%)
−0.2% or lower	135,147 (77.0%)	155,748 (88.8%)	167,983 (95.7%)	162,367 (97.3%)	139,358 (98.0%)
−0.5% or lower	86,841 (49.5%)	128,695 (73.4%)	157,194 (89.6%)	156,181 (93.6%)	135,417 (95.2%)
−1% or lower	38,610 (22.0%)	89,669 (51.1%)	139,211 (79.3%)	146,217 (87.7%)	129,070 (90.7%)
−2% or lower	8,404 (4.8%)	40,525 (23.1%)	107,067 (61.0%)	128,176 (76.8%)	118,120 (83.0%)
−5% or lower	723 (0.4%)	5,111 (2.9%)	44,033 (25.1%)	81,428 (48.8%)	86,856 (61.1%)
−10% or lower	115 (0.1%)	618 (0.4%)	7,498 (4.3%)	27,848 (16.7%)	37,105 (26.1%)
−15% or lower	42 (<0.1%)	176 (0.1%)	1,716 (1.0%)	7,175 (4.3%)	12,125 (8.5%)
−20% or lower	19 (<0.1%)	70 (<0.1%)	703 (0.4%)	2,219 (1.3%)	4,747 (3.3%)
−30% or lower	5 (<0.1%)	18 (<0.1%)	173 (0.1%)	455 (0.3%)	1,103 (0.8%)
−50% or lower	0 (0.0%)	1 (<0.1%)	2 (<0.1%)	30 (<0.1%)	122 (0.1%)

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

Distributions and daily counts

Upside reached · 24hThe most price moved up within 24 hours of each match: a high-water mark, never a close. 175,449 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 175,449 with a complete 24 hours.

Price 30 minutes laterForward 30-minute returns across 173,602 matches: close to an even split, which is what a coin flip looks like. 3,404 too recent.

How to read a distribution

Matches per UTC day

9 Sep6,028 matches
10 Sep5,705 matches
11 Sep6,036 matches
12 Sep7,126 matches
13 Sep6,496 matches
14 Sep6,097 matches
15 Sep6,215 matches
16 Sep6,049 matches
17 Sep6,596 matches
18 Sep6,225 matches
19 Sep6,250 matches
20 Sep5,921 matches
21 Sep5,646 matches
22 Sep5,359 matches
23 Sep5,021 matches
24 Sep5,621 matches
25 Sep5,718 matches
26 Sep6,138 matches
27 Sep6,127 matches
28 Sep4,825 matches
29 Sep5,381 matches
30 Sep5,438 matches
1 Oct5,795 matches
2 Oct5,537 matches
3 Oct6,543 matches
4 Oct6,537 matches
5 Oct5,943 matches
6 Oct6,124 matches
7 Oct5,479 matches
8 Oct5,028 matches
9 Oct2 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 22,568,330 eligible market-minutes (eligible_symbol_buckets) on 524 markets, 2026-09-09 00:00 to 2026-10-09 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#229bfa86)

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: 3e06d7f9e3779ac2eb0a6050a18da95aeefe499570b3d9954b95a216fe2ecf09
query hash: 229bfa86e0f11230988dfba86a1b5528643919c2c9e8753ab51b6d2185d47295
scanned window: 2026-09-09T00:00:00.000Z to 2026-10-09T00:00:00.000Z (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",
        [
          "2026-09-09T00:00:00.000Z",
          "2026-10-09T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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",["2026-09-09T00:00:00.000Z","2026-10-09T00:00:00.000Z"]]]},"sort":["times.anchor_time","desc"],"page":{"limit":50,"cursor":null}}'