4USDT · recorded history

One-sided tape: buyers on 4USDT

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 4USDT itself
Inspect 4USDT now or at a past minute
Its recorded moves
4USDT market events and replays
Test it on 4USDT, 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: 68.7% · 235 of 342 minutes
Other minutes: 70.1% · 25,050 of 35,727 minutes

Price touched −10% or lower

When this held: 19.6% · 67 of 342 minutes
Other minutes: 26.0% · 9,284 of 35,727 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 342 of 355 matches with a full 24 hours after them. The 13 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 11 a day, on 28 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	353	351	342	325	298
Too recent	2	4	13	30	57
+0.1% or more	330 (93.5%)	338 (96.3%)	338 (98.8%)	323 (99.4%)	296 (99.3%)
+0.2% or more	304 (86.1%)	328 (93.4%)	336 (98.2%)	322 (99.1%)	295 (99.0%)
+0.5% or more	245 (69.4%)	304 (86.6%)	330 (96.5%)	322 (99.1%)	295 (99.0%)
+1% or more	191 (54.1%)	278 (79.2%)	320 (93.6%)	317 (97.5%)	292 (98.0%)
+2% or more	84 (23.8%)	203 (57.8%)	296 (86.5%)	311 (95.7%)	290 (97.3%)
+5% or more	13 (3.7%)	71 (20.2%)	235 (68.7%)	279 (85.8%)	277 (93.0%)
+10% or more	1 (0.3%)	14 (4.0%)	122 (35.7%)	225 (69.2%)	252 (84.6%)
+15% or more	1 (0.3%)	3 (0.9%)	65 (19.0%)	165 (50.8%)	242 (81.2%)
+20% or more	1 (0.3%)	3 (0.9%)	35 (10.2%)	127 (39.1%)	218 (73.2%)
+30% or more	0 (0.0%)	3 (0.9%)	16 (4.7%)	79 (24.3%)	115 (38.6%)
+50% or more	0 (0.0%)	1 (0.3%)	15 (4.4%)	41 (12.6%)	75 (25.2%)
+100% or more	0 (0.0%)	0 (0.0%)	0 (0.0%)	0 (0.0%)	34 (11.4%)
−0.1% or lower	331 (93.8%)	338 (96.3%)	335 (98.0%)	322 (99.1%)	297 (99.7%)
−0.2% or lower	310 (87.8%)	330 (94.0%)	331 (96.8%)	321 (98.8%)	296 (99.3%)
−0.5% or lower	249 (70.5%)	300 (85.5%)	317 (92.7%)	313 (96.3%)	293 (98.3%)
−1% or lower	167 (47.3%)	249 (70.9%)	298 (87.1%)	302 (92.9%)	288 (96.6%)
−2% or lower	67 (19.0%)	161 (45.9%)	267 (78.1%)	282 (86.8%)	281 (94.3%)
−5% or lower	18 (5.1%)	55 (15.7%)	153 (44.7%)	200 (61.5%)	240 (80.5%)
−10% or lower	3 (0.8%)	12 (3.4%)	67 (19.6%)	123 (37.8%)	188 (63.1%)
−15% or lower	2 (0.6%)	5 (1.4%)	40 (11.7%)	84 (25.8%)	141 (47.3%)
−20% or lower	0 (0.0%)	2 (0.6%)	16 (4.7%)	60 (18.5%)	83 (27.9%)
−30% or lower	0 (0.0%)	0 (0.0%)	2 (0.6%)	3 (0.9%)	7 (2.3%)

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. 342 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 342 with a complete 24 hours.

Price 30 minutes laterForward 30-minute returns across 354 matches: close to an even split, which is what a coin flip looks like. 1 too recent.

How to read a distribution

Matches per UTC day

6 Aug13 matches
7 Aug12 matches
8 Aug13 matches
9 Aug11 matches
10 Aug12 matches
11 Aug12 matches
12 Aug14 matches
13 Aug14 matches
14 Aug17 matches
15 Aug16 matches
16 Aug15 matches
17 Aug12 matches
18 Aug16 matches
19 Aug13 matches
20 Aug18 matches
21 Aug14 matches
22 Aug11 matches
23 Aug15 matches
24 Aug12 matches
25 Aug15 matches
26 Aug13 matches
27 Aug11 matches
28 Aug15 matches
29 Aug7 matches
30 Aug0 matches
31 Aug5 matches
1 Sep10 matches
2 Sep7 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 4USDT, 2026-08-06 00:00 to 2026-09-05 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#f3b5eca4)

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: f3b5eca4cbea1a0043beec4740bd21fc278b94bad2a9aa527f1c5bbfef4af27a
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",
        "gte",
        0.62
      ],
      [
        "identity.symbol",
        "eq",
        "4usdt"
      ],
      [
        "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","gte",0.62],["identity.symbol","eq","4usdt"],["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: buyers on 4USDT

Read it in context

Read 4USDT itself

Its recorded moves

Test it on 4USDT, then plan it

What happened in the next 24 hours?

Price touched +5% or higher

Price touched −10% or lower