USELESSUSDT · recorded history

One-sided tape: buyers on USELESSUSDT

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 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.
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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: 74.8% · 113 of 151 minutes
Other minutes: 76.8% · 30,808 of 40,106 minutes

Price touched −10% or lower

When this held: 20.5% · 31 of 151 minutes
Other minutes: 33.9% · 13,584 of 40,106 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 151 of 155 matches with a full 24 hours after them. The 4 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 5 a day, on 25 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	155	153	151	140	126
Too recent	0	2	4	15	29
+0.1% or more	146 (94.2%)	150 (98.0%)	151 (100.0%)	140 (100.0%)	126 (100.0%)
+0.2% or more	141 (91.0%)	147 (96.1%)	149 (98.7%)	140 (100.0%)	126 (100.0%)
+0.5% or more	115 (74.2%)	136 (88.9%)	148 (98.0%)	140 (100.0%)	126 (100.0%)
+1% or more	86 (55.5%)	126 (82.4%)	146 (96.7%)	140 (100.0%)	126 (100.0%)
+2% or more	43 (27.7%)	86 (56.2%)	134 (88.7%)	136 (97.1%)	126 (100.0%)
+5% or more	9 (5.8%)	28 (18.3%)	113 (74.8%)	129 (92.1%)	126 (100.0%)
+10% or more	1 (0.6%)	11 (7.2%)	73 (48.3%)	121 (86.4%)	124 (98.4%)
+15% or more	0 (0.0%)	3 (2.0%)	39 (25.8%)	93 (66.4%)	123 (97.6%)
+20% or more	0 (0.0%)	1 (0.7%)	31 (20.5%)	68 (48.6%)	123 (97.6%)
+30% or more	0 (0.0%)	0 (0.0%)	19 (12.6%)	64 (45.7%)	121 (96.0%)
+50% or more	0 (0.0%)	0 (0.0%)	4 (2.6%)	48 (34.3%)	105 (83.3%)
+100% or more	0 (0.0%)	0 (0.0%)	0 (0.0%)	20 (14.3%)	81 (64.3%)
+200% or more	0 (0.0%)	0 (0.0%)	0 (0.0%)	0 (0.0%)	56 (44.4%)
+400% or more	0 (0.0%)	0 (0.0%)	0 (0.0%)	0 (0.0%)	6 (4.8%)
−0.1% or lower	148 (95.5%)	149 (97.4%)	148 (98.0%)	140 (100.0%)	126 (100.0%)
−0.2% or lower	142 (91.6%)	147 (96.1%)	147 (97.4%)	139 (99.3%)	125 (99.2%)
−0.5% or lower	115 (74.2%)	133 (86.9%)	141 (93.4%)	135 (96.4%)	121 (96.0%)
−1% or lower	87 (56.1%)	115 (75.2%)	130 (86.1%)	127 (90.7%)	113 (89.7%)
−2% or lower	36 (23.2%)	84 (54.9%)	113 (74.8%)	113 (80.7%)	100 (79.4%)
−5% or lower	5 (3.2%)	25 (16.3%)	65 (43.0%)	79 (56.4%)	72 (57.1%)
−10% or lower	0 (0.0%)	2 (1.3%)	31 (20.5%)	42 (30.0%)	38 (30.2%)
−15% or lower	0 (0.0%)	0 (0.0%)	7 (4.6%)	13 (9.3%)	14 (11.1%)
−20% or lower	0 (0.0%)	0 (0.0%)	2 (1.3%)	2 (1.4%)	2 (1.6%)

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. 151 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 151 with a complete 24 hours.

Price 30 minutes laterForward 30-minute returns across 155 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 Aug4 matches
25 Aug13 matches
26 Aug16 matches
27 Aug13 matches
28 Aug12 matches
29 Aug16 matches
30 Aug16 matches
31 Aug11 matches
1 Sep0 matches
2 Sep1 match
3 Sep1 match
4 Sep0 matches
5 Sep1 match
6 Sep0 matches
7 Sep1 match
8 Sep1 match
9 Sep0 matches
10 Sep1 match
11 Sep0 matches
12 Sep4 matches
13 Sep3 matches
14 Sep7 matches
15 Sep5 matches
16 Sep3 matches
17 Sep5 matches
18 Sep2 matches
19 Sep4 matches
20 Sep7 matches
21 Sep4 matches
22 Sep4 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 USELESSUSDT, 2026-08-24 00:00 to 2026-09-23 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#416577e8)

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: 416577e8bc51ddac46dacd129613049c44b0b8177d7803c5f4c3caa23fd5a183
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",
        "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","gte",0.62],["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: buyers 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