ONGUSDT · recorded history

One-sided tape: buyers on ONGUSDT

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 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.
Edit this test in Workbench

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: 41.5% · 83 of 200 minutes
Other minutes: 61.5% · 21,521 of 34,993 minutes

Price touched −10% or lower

When this held: 2.0% · 4 of 200 minutes
Other minutes: 26.3% · 9,188 of 34,993 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 200 of 212 matches with a full 24 hours after them. The 12 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 6.8 a day, on 23 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	203	201	200	196	190
Too recent	9	11	12	16	22
+0.1% or more	171 (84.2%)	181 (90.0%)	191 (95.5%)	193 (98.5%)	190 (100.0%)
+0.2% or more	136 (67.0%)	167 (83.1%)	186 (93.0%)	190 (96.9%)	190 (100.0%)
+0.5% or more	88 (43.3%)	138 (68.7%)	177 (88.5%)	184 (93.9%)	190 (100.0%)
+1% or more	50 (24.6%)	95 (47.3%)	157 (78.5%)	172 (87.8%)	190 (100.0%)
+2% or more	22 (10.8%)	58 (28.9%)	124 (62.0%)	147 (75.0%)	188 (98.9%)
+5% or more	8 (3.9%)	26 (12.9%)	83 (41.5%)	108 (55.1%)	167 (87.9%)
+10% or more	2 (1.0%)	12 (6.0%)	67 (33.5%)	107 (54.6%)	167 (87.9%)
+15% or more	1 (0.5%)	5 (2.5%)	55 (27.5%)	107 (54.6%)	167 (87.9%)
+20% or more	1 (0.5%)	3 (1.5%)	43 (21.5%)	106 (54.1%)	158 (83.2%)
+30% or more	0 (0.0%)	1 (0.5%)	15 (7.5%)	70 (35.7%)	129 (67.9%)
+50% or more	0 (0.0%)	0 (0.0%)	7 (3.5%)	36 (18.4%)	125 (65.8%)
+100% or more	0 (0.0%)	0 (0.0%)	6 (3.0%)	28 (14.3%)	67 (35.3%)
+200% or more	0 (0.0%)	0 (0.0%)	0 (0.0%)	1 (0.5%)	46 (24.2%)
−0.1% or lower	168 (82.8%)	179 (89.1%)	188 (94.0%)	186 (94.9%)	183 (96.3%)
−0.2% or lower	143 (70.4%)	162 (80.6%)	179 (89.5%)	181 (92.3%)	178 (93.7%)
−0.5% or lower	70 (34.5%)	119 (59.2%)	157 (78.5%)	164 (83.7%)	169 (88.9%)
−1% or lower	34 (16.7%)	78 (38.8%)	137 (68.5%)	149 (76.0%)	165 (86.8%)
−2% or lower	14 (6.9%)	35 (17.4%)	99 (49.5%)	123 (62.8%)	149 (78.4%)
−5% or lower	1 (0.5%)	6 (3.0%)	19 (9.5%)	57 (29.1%)	73 (38.4%)
−10% or lower	0 (0.0%)	0 (0.0%)	4 (2.0%)	3 (1.5%)	0 (0.0%)
−15% or lower	0 (0.0%)	0 (0.0%)	1 (0.5%)	2 (1.0%)	0 (0.0%)
−20% or lower	0 (0.0%)	0 (0.0%)	1 (0.5%)	2 (1.0%)	0 (0.0%)
−30% or lower	0 (0.0%)	0 (0.0%)	0 (0.0%)	1 (0.5%)	0 (0.0%)

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. 200 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 200 with a complete 24 hours.

Price 30 minutes laterForward 30-minute returns across 196 matches: 56% of them finished up. 16 too recent.

How to read a distribution

Matches per UTC day

6 Aug13 matches
7 Aug17 matches
8 Aug18 matches
9 Aug18 matches
10 Aug18 matches
11 Aug17 matches
12 Aug16 matches
13 Aug18 matches
14 Aug15 matches
15 Aug12 matches
16 Aug7 matches
17 Aug4 matches
18 Aug7 matches
19 Aug11 matches
20 Aug4 matches
21 Aug0 matches
22 Aug0 matches
23 Aug2 matches
24 Aug1 match
25 Aug0 matches
26 Aug0 matches
27 Aug0 matches
28 Aug0 matches
29 Aug1 match
30 Aug1 match
31 Aug4 matches
1 Sep1 match
2 Sep3 matches
3 Sep4 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#231d3fc1)

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: 231d3fc1c69fd67e4ba1d6fa05a8d5b25582f70f811e646b1d00381e75d4c105
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",
        "gte",
        0.62
      ],
      [
        "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","gte",0.62],["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: buyers 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