SKRUSDT · recorded history

One-sided tape: sellers on SKRUSDT

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 SKRUSDT itself
Inspect SKRUSDT now or at a past minute
Its recorded moves
SKRUSDT market events and replays
Test it on SKRUSDT, 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: 42.0% · 148 of 352 minutes
Other minutes: 55.4% · 19,187 of 34,637 minutes

Price touched −10% or lower

When this held: 1.7% · 6 of 352 minutes
Other minutes: 16.0% · 5,558 of 34,637 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 352 of 364 matches with a full 24 hours after them. The 12 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 27 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	361	361	352	336	328
Too recent	3	3	12	28	36
+0.1% or more	323 (89.5%)	341 (94.5%)	347 (98.6%)	334 (99.4%)	327 (99.7%)
+0.2% or more	286 (79.2%)	328 (90.9%)	344 (97.7%)	332 (98.8%)	326 (99.4%)
+0.5% or more	200 (55.4%)	282 (78.1%)	332 (94.3%)	326 (97.0%)	322 (98.2%)
+1% or more	106 (29.4%)	223 (61.8%)	307 (87.2%)	313 (93.2%)	315 (96.0%)
+2% or more	44 (12.2%)	150 (41.6%)	266 (75.6%)	284 (84.5%)	298 (90.9%)
+5% or more	3 (0.8%)	23 (6.4%)	148 (42.0%)	200 (59.5%)	253 (77.1%)
+10% or more	1 (0.3%)	8 (2.2%)	59 (16.8%)	130 (38.7%)	234 (71.3%)
+15% or more	0 (0.0%)	4 (1.1%)	38 (10.8%)	103 (30.7%)	225 (68.6%)
+20% or more	0 (0.0%)	0 (0.0%)	32 (9.1%)	68 (20.2%)	190 (57.9%)
+30% or more	0 (0.0%)	0 (0.0%)	18 (5.1%)	55 (16.4%)	119 (36.3%)
+50% or more	0 (0.0%)	0 (0.0%)	7 (2.0%)	52 (15.5%)	117 (35.7%)
+100% or more	0 (0.0%)	0 (0.0%)	1 (0.3%)	14 (4.2%)	76 (23.2%)
+200% or more	0 (0.0%)	0 (0.0%)	0 (0.0%)	13 (3.9%)	67 (20.4%)
−0.1% or lower	323 (89.5%)	343 (95.0%)	344 (97.7%)	330 (98.2%)	323 (98.5%)
−0.2% or lower	289 (80.1%)	324 (89.8%)	335 (95.2%)	326 (97.0%)	319 (97.3%)
−0.5% or lower	207 (57.3%)	274 (75.9%)	315 (89.5%)	310 (92.3%)	307 (93.6%)
−1% or lower	109 (30.2%)	207 (57.3%)	286 (81.3%)	291 (86.6%)	292 (89.0%)
−2% or lower	21 (5.8%)	97 (26.9%)	222 (63.1%)	240 (71.4%)	241 (73.5%)
−5% or lower	1 (0.3%)	10 (2.8%)	66 (18.8%)	110 (32.7%)	120 (36.6%)
−10% or lower	0 (0.0%)	0 (0.0%)	6 (1.7%)	24 (7.1%)	47 (14.3%)
−15% or lower	0 (0.0%)	0 (0.0%)	2 (0.6%)	2 (0.6%)	0 (0.0%)
−20% or lower	0 (0.0%)	0 (0.0%)	1 (0.3%)	1 (0.3%)	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. 352 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 352 with a complete 24 hours.

Price 30 minutes laterForward 30-minute returns across 358 matches: close to an even split, which is what a coin flip looks like. 6 too recent.

How to read a distribution

Matches per UTC day

8 Aug14 matches
9 Aug18 matches
10 Aug17 matches
11 Aug18 matches
12 Aug18 matches
13 Aug14 matches
14 Aug17 matches
15 Aug16 matches
16 Aug15 matches
17 Aug16 matches
18 Aug15 matches
19 Aug17 matches
20 Aug17 matches
21 Aug18 matches
22 Aug17 matches
23 Aug17 matches
24 Aug14 matches
25 Aug14 matches
26 Aug14 matches
27 Aug12 matches
28 Aug6 matches
29 Aug7 matches
30 Aug0 matches
31 Aug0 matches
1 Sep0 matches
2 Sep3 matches
3 Sep5 matches
4 Sep5 matches
5 Sep11 matches
6 Sep9 matches
7 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 43,201 eligible market-minutes (eligible_symbol_buckets) on SKRUSDT, 2026-08-08 00:00 to 2026-09-07 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#8dba8abd)

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: c5654b7b634bee0cdfb2e8766a962014a6487b56594e8bce014ec5c87d905ae0
query hash: 8dba8abd76479123c6c0fda4182292b1204bb0da24099ac692abeadd3d931bb9
scanned window: 2026-08-08T00:00:00.000Z to 2026-09-07T00:00:00.000Z (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",
        "skrusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-08-08T00:00:00.000Z",
          "2026-09-07T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","skrusdt"],["times.anchor_time","between",["2026-08-08T00:00:00.000Z","2026-09-07T00:00:00.000Z"]]]},"sort":["times.anchor_time","desc"],"page":{"limit":50,"cursor":null}}'

One-sided tape: sellers on SKRUSDT

Read it in context

Read SKRUSDT itself

Its recorded moves

Test it on SKRUSDT, then plan it

What happened in the next 24 hours?

Price touched +5% or higher

Price touched −10% or lower