BANKUSDT · recorded history

One-sided tape: buyers on BANKUSDT

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 BANKUSDT itself
Inspect BANKUSDT now or at a past minute
Its recorded moves
BANKUSDT market events and replays
Test it on BANKUSDT, 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?

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: 15 of 27, too few for a rate
Other minutes: 71.4% · 28,693 of 40,199 minutes

Price touched −10% or lower

When this held: 11 of 27, too few for a rate
Other minutes: 57.9% · 23,256 of 40,199 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 27 of 32 matches with a full 24 hours after them. The 5 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 1 a day, on 14 of 31 days: spread through the record rather than one event.

Over the full record

Every recorded day on BANKUSDT, 2026-05-15 to 2026-08-12: reached +5% in 309 of 817 (37.8%); fell to −10% in 73 of 817 (8.9%), within 24 hours.

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
Measured	32	31	27
Too recent	0	1	5
+1% or more	11 (34.4%)	16 (51.6%)	21
+2% or more	4 (12.5%)	10 (32.3%)	18
+5% or more	1 (3.1%)	4 (12.9%)	15
+10% or more	1 (3.1%)	3 (9.7%)	11
+15% or more	1 (3.1%)	2 (6.5%)	11
+20% or more	0 (0.0%)	1 (3.2%)	7
−1% or lower	21 (65.6%)	30 (96.8%)	27
−2% or lower	11 (34.4%)	22 (71.0%)	26
−5% or lower	5 (15.6%)	8 (25.8%)	22
−10% or lower	1 (3.1%)	3 (9.7%)	11
−15% or lower	1 (3.1%)	2 (6.5%)	5
−20% or lower	1 (3.1%)	1 (3.2%)	2

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

Full record: 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
Measured	819	818	817
Too recent	2	3	4
+1% or more	233 (28.4%)	481 (58.8%)	688 (84.2%)
+2% or more	101 (12.3%)	260 (31.8%)	578 (70.7%)
+5% or more	16 (2.0%)	84 (10.3%)	309 (37.8%)
+10% or more	2 (0.2%)	22 (2.7%)	120 (14.7%)
+15% or more	1 (0.1%)	13 (1.6%)	85 (10.4%)
+20% or more	0 (0.0%)	6 (0.7%)	67 (8.2%)
−1% or lower	255 (31.1%)	506 (61.9%)	735 (90.0%)
−2% or lower	81 (9.9%)	264 (32.3%)	613 (75.0%)
−5% or lower	11 (1.3%)	48 (5.9%)	268 (32.8%)
−10% or lower	2 (0.2%)	8 (1.0%)	73 (8.9%)
−15% or lower	1 (0.1%)	3 (0.4%)	33 (4.0%)
−20% or lower	1 (0.1%)	1 (0.1%)	17 (2.1%)

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. 27 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 27 with a complete 24 hours.

Price 30 minutes laterForward 30-minute returns across 32 matches: 63% of them finished down. 0 too recent.

How to read a distribution

Matches per UTC day

17 Jul1 match
18 Jul0 matches
19 Jul0 matches
20 Jul0 matches
21 Jul0 matches
22 Jul0 matches
23 Jul0 matches
24 Jul1 match
25 Jul1 match
26 Jul0 matches
27 Jul1 match
28 Jul0 matches
29 Jul0 matches
30 Jul0 matches
31 Jul0 matches
1 Aug0 matches
2 Aug1 match
3 Aug2 matches
4 Aug0 matches
5 Aug0 matches
6 Aug0 matches
7 Aug2 matches
8 Aug3 matches
9 Aug3 matches
10 Aug1 match
11 Aug5 matches
12 Aug4 matches
13 Aug2 matches
14 Aug5 matches
15 Aug0 matches
16 Aug0 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 41,761 eligible market-minutes (eligible_symbol_buckets) on BANKUSDT, 2026-07-17 00:00 to 2026-08-16 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#405e70de)

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: 631a4dbb9ff7daafc5ec6a7a2340ae68feec8c6140796410e4d8ef0a81fd2cc1
query hash: 405e70de1cce7ca53312a9402f54ae130d7dfee18b03ae0755d2360efff052ab
scanned window: 2026-07-17T00:00:00.000Z to 2026-08-16T00:00:00.000Z (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",
        "bankusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-07-17T00:00:00.000Z",
          "2026-08-16T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","bankusdt"],["times.anchor_time","between",["2026-07-17T00:00:00.000Z","2026-08-16T00:00:00.000Z"]]]},"sort":["times.anchor_time","desc"],"page":{"limit":50,"cursor":null}}'

One-sided tape: buyers on BANKUSDT

Read it in context

Read BANKUSDT itself

Its recorded moves

Test it on BANKUSDT, then plan it

What happened in the next 24 hours?

Price touched +5% or higher

Price touched −10% or lower

Over the full record