4USDT · recorded history

One-sided tape: sellers on 4USDT

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 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: 71.7% · 299 of 417 minutes
Other minutes: 69.8% · 22,346 of 31,992 minutes

Price touched −10% or lower

When this held: 18.9% · 79 of 417 minutes
Other minutes: 26.6% · 8,513 of 31,992 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 417 of 434 matches with a full 24 hours after them. The 17 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	433	430	417	387	354
Too recent	1	4	17	47	80
+0.1% or more	409 (94.5%)	421 (97.9%)	413 (99.0%)	386 (99.7%)	353 (99.7%)
+0.2% or more	380 (87.8%)	408 (94.9%)	410 (98.3%)	386 (99.7%)	353 (99.7%)
+0.5% or more	320 (73.9%)	380 (88.4%)	403 (96.6%)	384 (99.2%)	351 (99.2%)
+1% or more	239 (55.2%)	336 (78.1%)	392 (94.0%)	380 (98.2%)	348 (98.3%)
+2% or more	139 (32.1%)	266 (61.9%)	369 (88.5%)	370 (95.6%)	346 (97.7%)
+5% or more	19 (4.4%)	96 (22.3%)	299 (71.7%)	337 (87.1%)	331 (93.5%)
+10% or more	1 (0.2%)	18 (4.2%)	149 (35.7%)	262 (67.7%)	300 (84.7%)
+15% or more	0 (0.0%)	4 (0.9%)	89 (21.3%)	201 (51.9%)	285 (80.5%)
+20% or more	0 (0.0%)	3 (0.7%)	49 (11.8%)	154 (39.8%)	260 (73.4%)
+30% or more	0 (0.0%)	2 (0.5%)	17 (4.1%)	100 (25.8%)	143 (40.4%)
+50% or more	0 (0.0%)	0 (0.0%)	16 (3.8%)	47 (12.1%)	87 (24.6%)
+100% or more	0 (0.0%)	0 (0.0%)	0 (0.0%)	0 (0.0%)	40 (11.3%)
−0.1% or lower	403 (93.1%)	414 (96.3%)	413 (99.0%)	384 (99.2%)	353 (99.7%)
−0.2% or lower	381 (88.0%)	405 (94.2%)	408 (97.8%)	382 (98.7%)	352 (99.4%)
−0.5% or lower	303 (70.0%)	362 (84.2%)	387 (92.8%)	375 (96.9%)	349 (98.6%)
−1% or lower	212 (49.0%)	303 (70.5%)	358 (85.9%)	363 (93.8%)	343 (96.9%)
−2% or lower	100 (23.1%)	205 (47.7%)	315 (75.5%)	331 (85.5%)	330 (93.2%)
−5% or lower	14 (3.2%)	64 (14.9%)	176 (42.2%)	233 (60.2%)	285 (80.5%)
−10% or lower	2 (0.5%)	13 (3.0%)	79 (18.9%)	148 (38.2%)	223 (63.0%)
−15% or lower	2 (0.5%)	7 (1.6%)	42 (10.1%)	101 (26.1%)	167 (47.2%)
−20% or lower	1 (0.2%)	4 (0.9%)	19 (4.6%)	67 (17.3%)	100 (28.2%)
−30% or lower	0 (0.0%)	1 (0.2%)	2 (0.5%)	2 (0.5%)	5 (1.4%)

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. 417 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 417 with a complete 24 hours.

Price 30 minutes laterForward 30-minute returns across 433 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 Aug16 matches
7 Aug17 matches
8 Aug15 matches
9 Aug14 matches
10 Aug17 matches
11 Aug16 matches
12 Aug18 matches
13 Aug15 matches
14 Aug16 matches
15 Aug17 matches
16 Aug16 matches
17 Aug16 matches
18 Aug18 matches
19 Aug16 matches
20 Aug16 matches
21 Aug17 matches
22 Aug16 matches
23 Aug17 matches
24 Aug16 matches
25 Aug15 matches
26 Aug17 matches
27 Aug13 matches
28 Aug18 matches
29 Aug7 matches
30 Aug2 matches
31 Aug6 matches
1 Sep13 matches
2 Sep17 matches
3 Sep17 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#967bab68)

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: 967bab680223458ec1c5343d0f6f98a4c486deca8ce2fd9a15aa42998aa8a1fa
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",
        "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","lte",0.38],["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: sellers 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