USELESSUSDT · recorded history

One-sided tape: sellers on USELESSUSDT

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 USELESSUSDT itself
Inspect USELESSUSDT now or at a past minute
Its recorded moves
USELESSUSDT market events and replays
Test it on USELESSUSDT, 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: 68.3% · 129 of 189 minutes
Other minutes: 77.1% · 30,559 of 39,619 minutes

Price touched −10% or lower

When this held: 20.1% · 38 of 189 minutes
Other minutes: 34.3% · 13,579 of 39,619 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 189 of 190 matches with a full 24 hours after them. The 1 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 6.1 a day, on 24 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	190	190	189	174	147
Too recent	0	0	1	16	43
+0.1% or more	176 (92.6%)	183 (96.3%)	186 (98.4%)	174 (100.0%)	147 (100.0%)
+0.2% or more	163 (85.8%)	178 (93.7%)	184 (97.4%)	174 (100.0%)	147 (100.0%)
+0.5% or more	142 (74.7%)	170 (89.5%)	183 (96.8%)	174 (100.0%)	147 (100.0%)
+1% or more	116 (61.1%)	156 (82.1%)	181 (95.8%)	173 (99.4%)	147 (100.0%)
+2% or more	59 (31.1%)	118 (62.1%)	168 (88.9%)	169 (97.1%)	147 (100.0%)
+5% or more	10 (5.3%)	50 (26.3%)	129 (68.3%)	161 (92.5%)	147 (100.0%)
+10% or more	0 (0.0%)	10 (5.3%)	79 (41.8%)	136 (78.2%)	141 (95.9%)
+15% or more	0 (0.0%)	5 (2.6%)	41 (21.7%)	105 (60.3%)	136 (92.5%)
+20% or more	0 (0.0%)	2 (1.1%)	33 (17.5%)	76 (43.7%)	134 (91.2%)
+30% or more	0 (0.0%)	0 (0.0%)	15 (7.9%)	68 (39.1%)	132 (89.8%)
+50% or more	0 (0.0%)	0 (0.0%)	4 (2.1%)	47 (27.0%)	108 (73.5%)
+100% or more	0 (0.0%)	0 (0.0%)	0 (0.0%)	19 (10.9%)	81 (55.1%)
+200% or more	0 (0.0%)	0 (0.0%)	0 (0.0%)	0 (0.0%)	57 (38.8%)
+400% or more	0 (0.0%)	0 (0.0%)	0 (0.0%)	0 (0.0%)	9 (6.1%)
−0.1% or lower	172 (90.5%)	182 (95.8%)	186 (98.4%)	172 (98.9%)	145 (98.6%)
−0.2% or lower	166 (87.4%)	181 (95.3%)	185 (97.9%)	171 (98.3%)	145 (98.6%)
−0.5% or lower	145 (76.3%)	170 (89.5%)	181 (95.8%)	170 (97.7%)	144 (98.0%)
−1% or lower	109 (57.4%)	146 (76.8%)	167 (88.4%)	158 (90.8%)	134 (91.2%)
−2% or lower	46 (24.2%)	101 (53.2%)	149 (78.8%)	144 (82.8%)	124 (84.4%)
−5% or lower	3 (1.6%)	30 (15.8%)	94 (49.7%)	110 (63.2%)	93 (63.3%)
−10% or lower	0 (0.0%)	2 (1.1%)	38 (20.1%)	61 (35.1%)	58 (39.5%)
−15% or lower	0 (0.0%)	1 (0.5%)	8 (4.2%)	17 (9.8%)	14 (9.5%)
−20% or lower	0 (0.0%)	0 (0.0%)	0 (0.0%)	2 (1.1%)	2 (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. 189 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 189 with a complete 24 hours.

Price 30 minutes laterForward 30-minute returns across 190 matches: close to an even split, which is what a coin flip looks like. 0 too recent.

How to read a distribution

Matches per UTC day

24 Aug15 matches
25 Aug15 matches
26 Aug15 matches
27 Aug13 matches
28 Aug15 matches
29 Aug17 matches
30 Aug16 matches
31 Aug9 matches
1 Sep0 matches
2 Sep2 matches
3 Sep0 matches
4 Sep0 matches
5 Sep0 matches
6 Sep1 match
7 Sep0 matches
8 Sep0 matches
9 Sep1 match
10 Sep2 matches
11 Sep3 matches
12 Sep3 matches
13 Sep8 matches
14 Sep6 matches
15 Sep6 matches
16 Sep4 matches
17 Sep4 matches
18 Sep6 matches
19 Sep13 matches
20 Sep10 matches
21 Sep5 matches
22 Sep1 match
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 USELESSUSDT, 2026-08-24 00:00 to 2026-09-23 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#72827c2e)

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: 72827c2e5264751fe2f2343a440c7ada881b970d6809dde845fd123823a68eca
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",
        "lte",
        0.38
      ],
      [
        "identity.symbol",
        "eq",
        "uselessusdt"
      ],
      [
        "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","lte",0.38],["identity.symbol","eq","uselessusdt"],["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: sellers on USELESSUSDT

Read it in context

Read USELESSUSDT itself

Its recorded moves

Test it on USELESSUSDT, then plan it

What happened in the next 24 hours?

Price touched +5% or higher

Price touched −10% or lower