ONGUSDT · recorded history

One-sided tape: sellers on ONGUSDT

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 ONGUSDT itself
Inspect ONGUSDT now or at a past minute
Its recorded moves
ONGUSDT market events and replays
Test it on ONGUSDT, 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: 44.7% · 105 of 235 minutes
Other minutes: 60.5% · 21,696 of 35,833 minutes

Price touched −10% or lower

When this held: 7.2% · 17 of 235 minutes
Other minutes: 25.3% · 9,054 of 35,833 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 235 of 250 matches with a full 24 hours after them. The 15 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 8.1 a day, on 26 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	241	240	235	224	200
Too recent	9	10	15	26	50
+0.1% or more	209 (86.7%)	227 (94.6%)	230 (97.9%)	223 (99.6%)	200 (100.0%)
+0.2% or more	176 (73.0%)	212 (88.3%)	225 (95.7%)	222 (99.1%)	200 (100.0%)
+0.5% or more	123 (51.0%)	174 (72.5%)	213 (90.6%)	215 (96.0%)	200 (100.0%)
+1% or more	76 (31.5%)	128 (53.3%)	185 (78.7%)	200 (89.3%)	200 (100.0%)
+2% or more	28 (11.6%)	84 (35.0%)	154 (65.5%)	177 (79.0%)	197 (98.5%)
+5% or more	4 (1.7%)	32 (13.3%)	105 (44.7%)	138 (61.6%)	174 (87.0%)
+10% or more	1 (0.4%)	11 (4.6%)	77 (32.8%)	133 (59.4%)	173 (86.5%)
+15% or more	1 (0.4%)	9 (3.8%)	58 (24.7%)	128 (57.1%)	172 (86.0%)
+20% or more	1 (0.4%)	6 (2.5%)	50 (21.3%)	123 (54.9%)	165 (82.5%)
+30% or more	0 (0.0%)	2 (0.8%)	25 (10.6%)	87 (38.8%)	141 (70.5%)
+50% or more	0 (0.0%)	0 (0.0%)	11 (4.7%)	53 (23.7%)	139 (69.5%)
+100% or more	0 (0.0%)	0 (0.0%)	11 (4.7%)	42 (18.8%)	87 (43.5%)
+200% or more	0 (0.0%)	0 (0.0%)	0 (0.0%)	5 (2.2%)	59 (29.5%)
−0.1% or lower	202 (83.8%)	223 (92.9%)	227 (96.6%)	218 (97.3%)	198 (99.0%)
−0.2% or lower	175 (72.6%)	203 (84.6%)	216 (91.9%)	209 (93.3%)	194 (97.0%)
−0.5% or lower	115 (47.7%)	163 (67.9%)	198 (84.3%)	197 (87.9%)	186 (93.0%)
−1% or lower	67 (27.8%)	112 (46.7%)	177 (75.3%)	183 (81.7%)	179 (89.5%)
−2% or lower	28 (11.6%)	66 (27.5%)	138 (58.7%)	156 (69.6%)	164 (82.0%)
−5% or lower	4 (1.7%)	19 (7.9%)	52 (22.1%)	79 (35.3%)	77 (38.5%)
−10% or lower	0 (0.0%)	0 (0.0%)	17 (7.2%)	19 (8.5%)	2 (1.0%)
−15% or lower	0 (0.0%)	0 (0.0%)	11 (4.7%)	16 (7.1%)	1 (0.5%)
−20% or lower	0 (0.0%)	0 (0.0%)	2 (0.9%)	14 (6.3%)	1 (0.5%)
−30% or lower	0 (0.0%)	0 (0.0%)	0 (0.0%)	2 (0.9%)	1 (0.5%)

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. 235 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 235 with a complete 24 hours.

Price 30 minutes laterForward 30-minute returns across 237 matches: close to an even split, which is what a coin flip looks like. 13 too recent.

How to read a distribution

Matches per UTC day

6 Aug20 matches
7 Aug15 matches
8 Aug12 matches
9 Aug15 matches
10 Aug15 matches
11 Aug18 matches
12 Aug16 matches
13 Aug15 matches
14 Aug12 matches
15 Aug11 matches
16 Aug6 matches
17 Aug1 match
18 Aug9 matches
19 Aug16 matches
20 Aug9 matches
21 Aug0 matches
22 Aug7 matches
23 Aug5 matches
24 Aug5 matches
25 Aug0 matches
26 Aug0 matches
27 Aug1 match
28 Aug1 match
29 Aug4 matches
30 Aug11 matches
31 Aug8 matches
1 Sep2 matches
2 Sep9 matches
3 Sep7 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 ONGUSDT, 2026-08-06 00:00 to 2026-09-05 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#ca01a3e6)

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: ca01a3e685417b5b59950d5a63dacd14c2ac0bddfc58cb60b268468901470f26
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",
        "ongusdt"
      ],
      [
        "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","ongusdt"],["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 ONGUSDT

Read it in context

Read ONGUSDT itself

Its recorded moves

Test it on ONGUSDT, then plan it

What happened in the next 24 hours?

Price touched +5% or higher

Price touched −10% or lower