QNTUSDT · recorded history

One-sided tape: buyers on QNTUSDT

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

Read it in context

Read QNTUSDT itself
Inspect QNTUSDT now or at a past minute
Its recorded moves
QNTUSDT market events and replays
Test it on QNTUSDT, then plan it
A tested result leads to Plan a trade, which measures what trading it would have paid after costs.
Edit this test in Workbench

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: 22.4% · 84 of 375 minutes
Other minutes: 36.4% · 12,444 of 34,187 minutes

Price touched −10% or lower

When this held: 0.0% · 0 of 375 minutes
Other minutes: 5.6% · 1,899 of 34,187 minutes

Price can touch both levels within the same 24 hours.

This counts how often price touched a level, not what trading it would have paid.

Sample and counting

Rates use the 375 of 379 matches with a full 24 hours after them. The 4 newer ones are left out, not counted as zero.

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.

When it happened

About 12 a day, on 26 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	375	375	375	375	353
Too recent	4	4	4	4	26
+0.1% or more	309 (82.4%)	348 (92.8%)	371 (98.9%)	373 (99.5%)	352 (99.7%)
+0.2% or more	270 (72.0%)	331 (88.3%)	366 (97.6%)	371 (98.9%)	351 (99.4%)
+0.5% or more	154 (41.1%)	271 (72.3%)	345 (92.0%)	366 (97.6%)	347 (98.3%)
+1% or more	61 (16.3%)	171 (45.6%)	315 (84.0%)	352 (93.9%)	339 (96.0%)
+2% or more	18 (4.8%)	75 (20.0%)	253 (67.5%)	313 (83.5%)	318 (90.1%)
+5% or more	3 (0.8%)	15 (4.0%)	84 (22.4%)	208 (55.5%)	249 (70.5%)
+10% or more	2 (0.5%)	6 (1.6%)	39 (10.4%)	89 (23.7%)	132 (37.4%)
+15% or more	1 (0.3%)	3 (0.8%)	25 (6.7%)	75 (20.0%)	126 (35.7%)
+20% or more	0 (0.0%)	1 (0.3%)	22 (5.9%)	53 (14.1%)	122 (34.6%)
+30% or more	0 (0.0%)	1 (0.3%)	13 (3.5%)	50 (13.3%)	97 (27.5%)
+50% or more	0 (0.0%)	1 (0.3%)	6 (1.6%)	30 (8.0%)	87 (24.6%)
+100% or more	0 (0.0%)	0 (0.0%)	0 (0.0%)	23 (6.1%)	57 (16.1%)
+200% or more	0 (0.0%)	0 (0.0%)	0 (0.0%)	11 (2.9%)	53 (15.0%)
+400% or more	0 (0.0%)	0 (0.0%)	0 (0.0%)	0 (0.0%)	36 (10.2%)
−0.1% or lower	316 (84.3%)	348 (92.8%)	361 (96.3%)	364 (97.1%)	347 (98.3%)
−0.2% or lower	261 (69.6%)	320 (85.3%)	350 (93.3%)	354 (94.4%)	341 (96.6%)
−0.5% or lower	144 (38.4%)	241 (64.3%)	315 (84.0%)	330 (88.0%)	328 (92.9%)
−1% or lower	45 (12.0%)	148 (39.5%)	247 (65.9%)	283 (75.5%)	294 (83.3%)
−2% or lower	6 (1.6%)	38 (10.1%)	139 (37.1%)	204 (54.4%)	224 (63.5%)
−5% or lower	0 (0.0%)	1 (0.3%)	24 (6.4%)	88 (23.5%)	152 (43.1%)
−10% or lower	0 (0.0%)	0 (0.0%)	0 (0.0%)	0 (0.0%)	32 (9.1%)

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. 375 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 375 with a complete 24 hours.

Price 30 minutes laterForward 30-minute returns across 369 matches: close to an even split, which is what a coin flip looks like. 10 too recent.

How to read a distribution

Matches per UTC day

1 Sep14 matches
2 Sep12 matches
3 Sep19 matches
4 Sep14 matches
5 Sep16 matches
6 Sep15 matches
7 Sep18 matches
8 Sep17 matches
9 Sep16 matches
10 Sep16 matches
11 Sep16 matches
12 Sep18 matches
13 Sep17 matches
14 Sep16 matches
15 Sep13 matches
16 Sep13 matches
17 Sep18 matches
18 Sep17 matches
19 Sep16 matches
20 Sep16 matches
21 Sep14 matches
22 Sep15 matches
23 Sep11 matches
24 Sep11 matches
25 Sep6 matches
26 Sep5 matches
27 Sep0 matches
28 Sep0 matches
29 Sep0 matches
30 Sep0 matches
1 Oct0 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 market 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 43,201 eligible market-minutes (eligible_symbol_buckets) on QNTUSDT, 2026-09-01 00:00 to 2026-10-01 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#85652b84)

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: c764b05a2cce2a39e38b40d35fcb2488ecc1bfda3dfbabbbd252d4ba3f3a9680
query hash: 85652b8498d1c65ca27b6d2ae57f50e440f6d90fa9d508120206d89ea629ff27
scanned window: 2026-09-01T00:00:00.000Z to 2026-10-01T00:00:00.000Z (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
      ],
      [
        "identity.symbol",
        "eq",
        "qntusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-09-01T00:00:00.000Z",
          "2026-10-01T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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],["identity.symbol","eq","qntusdt"],["times.anchor_time","between",["2026-09-01T00:00:00.000Z","2026-10-01T00:00:00.000Z"]]]},"sort":["times.anchor_time","desc"],"page":{"limit":50,"cursor":null}}'

One-sided tape: buyers on QNTUSDT

Read it in context

Read QNTUSDT itself

Its recorded moves

Test it on QNTUSDT, then plan it

What happened in the next 24 hours?

Price touched +5% or higher

Price touched −10% or lower