ONUSDT · recorded history

One-sided tape: sellers on ONUSDT

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 ONUSDT itself
Inspect ONUSDT now or at a past minute
Its recorded moves
ONUSDT market events and replays
Test it on ONUSDT, 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: 79.2% · 145 of 183 minutes
Other minutes: 81.3% · 28,032 of 34,485 minutes

Price touched −10% or lower

When this held: 18.0% · 33 of 183 minutes
Other minutes: 44.8% · 15,445 of 34,485 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 183 of 184 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 5.9 a day, on 22 of 31 days: spread through the record rather than one event.

Over the full record

Every recorded day on ONUSDT, 2026-05-15 to 2026-08-12: reached +5% in 394 of 788 (50.0%); fell to −10% in 86 of 788 (10.9%), within 24 hours.

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
Measured	183	183	183
Too recent	1	1	1
+1% or more	102 (55.7%)	148 (80.9%)	177 (96.7%)
+2% or more	60 (32.8%)	120 (65.6%)	171 (93.4%)
+5% or more	12 (6.6%)	54 (29.5%)	145 (79.2%)
+10% or more	0 (0.0%)	19 (10.4%)	119 (65.0%)
+15% or more	0 (0.0%)	8 (4.4%)	86 (47.0%)
+20% or more	0 (0.0%)	1 (0.5%)	64 (35.0%)
−1% or lower	87 (47.5%)	129 (70.5%)	155 (84.7%)
−2% or lower	43 (23.5%)	88 (48.1%)	126 (68.9%)
−5% or lower	12 (6.6%)	29 (15.8%)	69 (37.7%)
−10% or lower	4 (2.2%)	13 (7.1%)	33 (18.0%)
−15% or lower	1 (0.5%)	6 (3.3%)	15 (8.2%)
−20% or lower	0 (0.0%)	0 (0.0%)	6 (3.3%)

Each window counts only matches old enough for it, so a longer window can show fewer.

Full record: 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
Measured	788	788	788
Too recent	13	13	13
+1% or more	311 (39.5%)	526 (66.8%)	693 (87.9%)
+2% or more	131 (16.6%)	328 (41.6%)	596 (75.6%)
+5% or more	26 (3.3%)	116 (14.7%)	394 (50.0%)
+10% or more	1 (0.1%)	28 (3.6%)	240 (30.5%)
+15% or more	0 (0.0%)	10 (1.3%)	139 (17.6%)
+20% or more	0 (0.0%)	1 (0.1%)	71 (9.0%)
−1% or lower	281 (35.7%)	502 (63.7%)	676 (85.8%)
−2% or lower	105 (13.3%)	293 (37.2%)	544 (69.0%)
−5% or lower	18 (2.3%)	73 (9.3%)	279 (35.4%)
−10% or lower	4 (0.5%)	18 (2.3%)	86 (10.9%)
−15% or lower	1 (0.1%)	6 (0.8%)	27 (3.4%)
−20% or lower	0 (0.0%)	0 (0.0%)	6 (0.8%)

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. 183 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 183 with a complete 24 hours.

Price 30 minutes laterForward 30-minute returns across 182 matches: close to an even split, which is what a coin flip looks like. 2 too recent.

How to read a distribution

Matches per UTC day

13 Jul15 matches
14 Jul15 matches
15 Jul17 matches
16 Jul17 matches
17 Jul16 matches
18 Jul19 matches
19 Jul13 matches
20 Jul8 matches
21 Jul3 matches
22 Jul7 matches
23 Jul1 match
24 Jul1 match
25 Jul7 matches
26 Jul15 matches
27 Jul3 matches
28 Jul0 matches
29 Jul0 matches
30 Jul0 matches
31 Jul0 matches
1 Aug1 match
2 Aug2 matches
3 Aug11 matches
4 Aug8 matches
5 Aug3 matches
6 Aug1 match
7 Aug0 matches
8 Aug1 match
9 Aug0 matches
10 Aug0 matches
11 Aug0 matches
12 Aug0 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 38,881 eligible market-minutes (eligible_symbol_buckets) on ONUSDT, 2026-07-13 00:00 to 2026-08-12 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#d26cd115)

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: b57b2b2ece93f8baa4f1e4a334c2d53714c5a4f0954b483c329c7ba4be4d34c5
query hash: d26cd1154aad06b596cc4268ccd44b5c6abed2d155d1bcd1e96912ca7701e5b6
scanned window: 2026-07-13T00:00:00.000Z to 2026-08-12T00:00:00.000Z (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",
        "onusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-07-13T00:00:00.000Z",
          "2026-08-12T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","onusdt"],["times.anchor_time","between",["2026-07-13T00:00:00.000Z","2026-08-12T00:00:00.000Z"]]]},"sort":["times.anchor_time","desc"],"page":{"limit":50,"cursor":null}}'

One-sided tape: sellers on ONUSDT

Read it in context

Read ONUSDT itself

Its recorded moves

Test it on ONUSDT, then plan it

What happened in the next 24 hours?

Price touched +5% or higher

Price touched −10% or lower

Over the full record