ARKUSDT · recorded history

One-sided tape: buyers on ARKUSDT

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

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: 51.4% · 183 of 356 minutes
Other minutes: 59.0% · 20,378 of 34,512 minutes

Price touched −10% or lower

When this held: 4.2% · 15 of 356 minutes
Other minutes: 12.5% · 4,304 of 34,512 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 356 of 366 matches with a full 24 hours after them. The 10 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 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	360	360	356	329	310
Too recent	6	6	10	37	56
+0.1% or more	309 (85.8%)	342 (95.0%)	354 (99.4%)	329 (100.0%)	310 (100.0%)
+0.2% or more	275 (76.4%)	325 (90.3%)	352 (98.9%)	329 (100.0%)	310 (100.0%)
+0.5% or more	192 (53.3%)	286 (79.4%)	342 (96.1%)	327 (99.4%)	310 (100.0%)
+1% or more	113 (31.4%)	208 (57.8%)	310 (87.1%)	318 (96.7%)	310 (100.0%)
+2% or more	37 (10.3%)	120 (33.3%)	281 (78.9%)	303 (92.1%)	310 (100.0%)
+5% or more	8 (2.2%)	38 (10.6%)	183 (51.4%)	274 (83.3%)	310 (100.0%)
+10% or more	2 (0.6%)	12 (3.3%)	91 (25.6%)	221 (67.2%)	300 (96.8%)
+15% or more	1 (0.3%)	6 (1.7%)	66 (18.5%)	181 (55.0%)	255 (82.3%)
+20% or more	0 (0.0%)	3 (0.8%)	46 (12.9%)	140 (42.6%)	249 (80.3%)
+30% or more	0 (0.0%)	2 (0.6%)	30 (8.4%)	87 (26.4%)	201 (64.8%)
+50% or more	0 (0.0%)	0 (0.0%)	22 (6.2%)	76 (23.1%)	193 (62.3%)
+100% or more	0 (0.0%)	0 (0.0%)	0 (0.0%)	0 (0.0%)	13 (4.2%)
−0.1% or lower	324 (90.0%)	335 (93.1%)	341 (95.8%)	319 (97.0%)	302 (97.4%)
−0.2% or lower	293 (81.4%)	320 (88.9%)	336 (94.4%)	313 (95.1%)	296 (95.5%)
−0.5% or lower	205 (56.9%)	270 (75.0%)	314 (88.2%)	295 (89.7%)	281 (90.6%)
−1% or lower	109 (30.3%)	192 (53.3%)	269 (75.6%)	266 (80.9%)	259 (83.5%)
−2% or lower	28 (7.8%)	82 (22.8%)	174 (48.9%)	211 (64.1%)	212 (68.4%)
−5% or lower	0 (0.0%)	10 (2.8%)	56 (15.7%)	88 (26.7%)	141 (45.5%)
−10% or lower	0 (0.0%)	0 (0.0%)	15 (4.2%)	22 (6.7%)	14 (4.5%)
−15% or lower	0 (0.0%)	0 (0.0%)	5 (1.4%)	4 (1.2%)	0 (0.0%)
−20% or lower	0 (0.0%)	0 (0.0%)	5 (1.4%)	4 (1.2%)	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. 356 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 356 with a complete 24 hours.

Price 30 minutes laterForward 30-minute returns across 349 matches: close to an even split, which is what a coin flip looks like. 17 too recent.

How to read a distribution

Matches per UTC day

1 Sep15 matches
2 Sep19 matches
3 Sep17 matches
4 Sep16 matches
5 Sep17 matches
6 Sep19 matches
7 Sep18 matches
8 Sep19 matches
9 Sep18 matches
10 Sep12 matches
11 Sep14 matches
12 Sep16 matches
13 Sep2 matches
14 Sep0 matches
15 Sep5 matches
16 Sep10 matches
17 Sep13 matches
18 Sep13 matches
19 Sep17 matches
20 Sep10 matches
21 Sep15 matches
22 Sep18 matches
23 Sep13 matches
24 Sep7 matches
25 Sep2 matches
26 Sep1 match
27 Sep9 matches
28 Sep12 matches
29 Sep15 matches
30 Sep4 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 ARKUSDT, 2026-09-01 00:00 to 2026-10-01 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#9e5315df)

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: 9e5315dfdf2836f00b76fe865e7f01457a50a604430855cbb932df91e73fc566
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",
        "arkusdt"
      ],
      [
        "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","arkusdt"],["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 ARKUSDT

Read it in context

Read ARKUSDT itself

Its recorded moves

Test it on ARKUSDT, then plan it

What happened in the next 24 hours?

Price touched +5% or higher

Price touched −10% or lower