ZKCUSDT · recorded history

One-sided tape: sellers on ZKCUSDT

Taker buy ratio over the last 15 minutes has run at 0.38 or less: a persistently seller-heavy tape.

Read it in context

Read ZKCUSDT itself
Inspect ZKCUSDT now or at a past minute
Its recorded moves
ZKCUSDT market events and replays
Test it on ZKCUSDT, 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: 23.5% · 94 of 400 minutes
Other minutes: 29.9% · 9,147 of 30,562 minutes

Price touched −10% or lower

When this held: 2.3% · 9 of 400 minutes
Other minutes: 8.8% · 2,697 of 30,562 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 400 of 422 matches with a full 24 hours after them. The 22 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 14 a day, on 29 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	411	410	400	379	346
Too recent	11	12	22	43	76
+0.1% or more	345 (83.9%)	378 (92.2%)	382 (95.5%)	371 (97.9%)	342 (98.8%)
+0.2% or more	286 (69.6%)	354 (86.3%)	370 (92.5%)	367 (96.8%)	340 (98.3%)
+0.5% or more	160 (38.9%)	280 (68.3%)	342 (85.5%)	352 (92.9%)	332 (96.0%)
+1% or more	56 (13.6%)	157 (38.3%)	281 (70.3%)	327 (86.3%)	322 (93.1%)
+2% or more	16 (3.9%)	75 (18.3%)	207 (51.7%)	291 (76.8%)	307 (88.7%)
+5% or more	4 (1.0%)	16 (3.9%)	94 (23.5%)	173 (45.6%)	238 (68.8%)
+10% or more	2 (0.5%)	6 (1.5%)	35 (8.8%)	94 (24.8%)	177 (51.2%)
+15% or more	0 (0.0%)	3 (0.7%)	16 (4.0%)	80 (21.1%)	170 (49.1%)
+20% or more	0 (0.0%)	1 (0.2%)	14 (3.5%)	52 (13.7%)	130 (37.6%)
+30% or more	0 (0.0%)	0 (0.0%)	12 (3.0%)	40 (10.6%)	72 (20.8%)
+50% or more	0 (0.0%)	0 (0.0%)	11 (2.8%)	38 (10.0%)	70 (20.2%)
−0.1% or lower	342 (83.2%)	380 (92.7%)	387 (96.8%)	371 (97.9%)	345 (99.7%)
−0.2% or lower	289 (70.3%)	348 (84.9%)	373 (93.3%)	363 (95.8%)	341 (98.6%)
−0.5% or lower	162 (39.4%)	283 (69.0%)	349 (87.3%)	348 (91.8%)	336 (97.1%)
−1% or lower	65 (15.8%)	163 (39.8%)	285 (71.3%)	309 (81.5%)	323 (93.4%)
−2% or lower	18 (4.4%)	72 (17.6%)	208 (52.0%)	270 (71.2%)	300 (86.7%)
−5% or lower	2 (0.5%)	7 (1.7%)	54 (13.5%)	126 (33.2%)	172 (49.7%)
−10% or lower	0 (0.0%)	0 (0.0%)	9 (2.3%)	8 (2.1%)	17 (4.9%)
−15% or lower	0 (0.0%)	0 (0.0%)	0 (0.0%)	2 (0.5%)	0 (0.0%)

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. 400 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 400 with a complete 24 hours.

Price 30 minutes laterForward 30-minute returns across 396 matches: close to an even split, which is what a coin flip looks like. 26 too recent.

How to read a distribution

Matches per UTC day

6 Aug14 matches
7 Aug16 matches
8 Aug20 matches
9 Aug17 matches
10 Aug19 matches
11 Aug16 matches
12 Aug18 matches
13 Aug16 matches
14 Aug18 matches
15 Aug14 matches
16 Aug14 matches
17 Aug18 matches
18 Aug16 matches
19 Aug17 matches
20 Aug16 matches
21 Aug16 matches
22 Aug16 matches
23 Aug14 matches
24 Aug15 matches
25 Aug18 matches
26 Aug10 matches
27 Aug18 matches
28 Aug12 matches
29 Aug14 matches
30 Aug2 matches
31 Aug5 matches
1 Sep12 matches
2 Sep9 matches
3 Sep12 matches
4 Sep0 matches
5 Sep0 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 ZKCUSDT, 2026-08-06 00:00 to 2026-09-05 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#4e7f43f8)

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: 34f116f07fb3d51d068549b18218a00d686edb1b9372c56da95228e2c10613aa
query hash: 4e7f43f8baacdece2c418fbdea9fd39d850891ed8b34619a9e6d57c9a2c69baa
scanned window: 2026-08-06T00:00:00.000Z to 2026-09-05T00:00:00.000Z (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",
        "lte",
        0.38
      ],
      [
        "identity.symbol",
        "eq",
        "zkcusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-08-06T00:00:00.000Z",
          "2026-09-05T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","lte",0.38],["identity.symbol","eq","zkcusdt"],["times.anchor_time","between",["2026-08-06T00:00:00.000Z","2026-09-05T00:00:00.000Z"]]]},"sort":["times.anchor_time","desc"],"page":{"limit":50,"cursor":null}}'

One-sided tape: sellers on ZKCUSDT

Read it in context

Read ZKCUSDT itself

Its recorded moves

Test it on ZKCUSDT, then plan it

What happened in the next 24 hours?

Price touched +5% or higher

Price touched −10% or lower