GUSDT · recorded history

One-sided tape: buyers on GUSDT

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 GUSDT itself
Inspect GUSDT now or at a past minute
Its recorded moves
GUSDT market events and replays
Test it on GUSDT, then plan it
A tested result leads to Plan a trade, which measures what trading it would have paid after costs.
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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: 21.5% · 82 of 381 minutes
Other minutes: 31.3% · 10,269 of 32,830 minutes

Price touched −10% or lower

When this held: 0.3% · 1 of 381 minutes
Other minutes: 10.4% · 3,427 of 32,830 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 381 of 398 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 13 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	390	390	381	380	353
Too recent	8	8	17	18	45
+0.1% or more	336 (86.2%)	367 (94.1%)	376 (98.7%)	376 (98.9%)	352 (99.7%)
+0.2% or more	295 (75.6%)	353 (90.5%)	376 (98.7%)	376 (98.9%)	352 (99.7%)
+0.5% or more	164 (42.1%)	266 (68.2%)	355 (93.2%)	370 (97.4%)	351 (99.4%)
+1% or more	64 (16.4%)	175 (44.9%)	317 (83.2%)	359 (94.5%)	345 (97.7%)
+2% or more	24 (6.2%)	79 (20.3%)	247 (64.8%)	332 (87.4%)	339 (96.0%)
+5% or more	2 (0.5%)	24 (6.2%)	82 (21.5%)	200 (52.6%)	277 (78.5%)
+10% or more	0 (0.0%)	9 (2.3%)	50 (13.1%)	123 (32.4%)	215 (60.9%)
+15% or more	0 (0.0%)	7 (1.8%)	39 (10.2%)	122 (32.1%)	197 (55.8%)
+20% or more	0 (0.0%)	3 (0.8%)	29 (7.6%)	94 (24.7%)	189 (53.5%)
+30% or more	0 (0.0%)	2 (0.5%)	14 (3.7%)	44 (11.6%)	81 (22.9%)
+50% or more	0 (0.0%)	2 (0.5%)	14 (3.7%)	38 (10.0%)	73 (20.7%)
+100% or more	0 (0.0%)	0 (0.0%)	13 (3.4%)	37 (9.7%)	70 (19.8%)
+200% or more	0 (0.0%)	0 (0.0%)	0 (0.0%)	15 (3.9%)	49 (13.9%)
−0.1% or lower	341 (87.4%)	366 (93.8%)	366 (96.1%)	370 (97.4%)	348 (98.6%)
−0.2% or lower	290 (74.4%)	334 (85.6%)	357 (93.7%)	363 (95.5%)	345 (97.7%)
−0.5% or lower	161 (41.3%)	263 (67.4%)	334 (87.7%)	348 (91.6%)	338 (95.8%)
−1% or lower	70 (17.9%)	158 (40.5%)	259 (68.0%)	301 (79.2%)	321 (90.9%)
−2% or lower	23 (5.9%)	74 (19.0%)	175 (45.9%)	235 (61.8%)	271 (76.8%)
−5% or lower	3 (0.8%)	9 (2.3%)	42 (11.0%)	103 (27.1%)	207 (58.6%)
−10% or lower	0 (0.0%)	0 (0.0%)	1 (0.3%)	21 (5.5%)	25 (7.1%)
−15% or lower	0 (0.0%)	0 (0.0%)	0 (0.0%)	1 (0.3%)	1 (0.3%)

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. 381 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 381 with a complete 24 hours.

Price 30 minutes laterForward 30-minute returns across 380 matches: close to an even split, which is what a coin flip looks like. 18 too recent.

How to read a distribution

Matches per UTC day

24 Aug16 matches
25 Aug16 matches
26 Aug18 matches
27 Aug18 matches
28 Aug15 matches
29 Aug18 matches
30 Aug15 matches
31 Aug17 matches
1 Sep16 matches
2 Sep17 matches
3 Sep16 matches
4 Sep17 matches
5 Sep18 matches
6 Sep16 matches
7 Sep17 matches
8 Sep13 matches
9 Sep10 matches
10 Sep13 matches
11 Sep14 matches
12 Sep16 matches
13 Sep15 matches
14 Sep14 matches
15 Sep16 matches
16 Sep11 matches
17 Sep12 matches
18 Sep4 matches
19 Sep0 matches
20 Sep0 matches
21 Sep1 match
22 Sep9 matches
23 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 GUSDT, 2026-08-24 00:00 to 2026-09-23 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#c959b6fe)

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: cb0cece4e4dfc52ea8d4e9fc99df38ed85b172559a26618815247132abe6d569
query hash: c959b6fe8612cd5d39aef24a0c9ca6e8d1f7dc87e21d12a1744172174ad7c200
scanned window: 2026-08-24T00:00:00.000Z to 2026-09-23T00:00:00.000Z (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",
        "gusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-08-24T00:00:00.000Z",
          "2026-09-23T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","gusdt"],["times.anchor_time","between",["2026-08-24T00:00:00.000Z","2026-09-23T00:00:00.000Z"]]]},"sort":["times.anchor_time","desc"],"page":{"limit":50,"cursor":null}}'

One-sided tape: buyers on GUSDT

Read it in context

Read GUSDT itself

Its recorded moves

Test it on GUSDT, then plan it

What happened in the next 24 hours?

Price touched +5% or higher

Price touched −10% or lower