ACEUSDT · recorded history

One-sided tape: buyers on ACEUSDT

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 ACEUSDT itself
Inspect ACEUSDT now or at a past minute
Its recorded moves
ACEUSDT market events and replays
Test it on ACEUSDT, 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: 80.7% · 109 of 135 minutes
Other minutes: 78.2% · 29,202 of 37,336 minutes

Price touched −10% or lower

When this held: 11.9% · 16 of 135 minutes
Other minutes: 36.2% · 13,497 of 37,336 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 135 of 137 matches with a full 24 hours after them. The 2 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 4.4 a day, on 16 of 31 days: spread through the record rather than one event.

Over the full record

Every recorded day on ACEUSDT, 2026-05-15 to 2026-08-14: reached +5% in 235 of 812 (28.9%); fell to −10% in 38 of 812 (4.7%), 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	136	135	135
Too recent	1	2	2
+0.1% or more	124 (91.2%)	132 (97.8%)	134 (99.3%)
+0.2% or more	114 (83.8%)	131 (97.0%)	134 (99.3%)
+0.5% or more	95 (69.9%)	121 (89.6%)	133 (98.5%)
+1% or more	69 (50.7%)	93 (68.9%)	128 (94.8%)
+2% or more	31 (22.8%)	70 (51.9%)	122 (90.4%)
+5% or more	8 (5.9%)	29 (21.5%)	109 (80.7%)
+10% or more	1 (0.7%)	5 (3.7%)	67 (49.6%)
+15% or more	1 (0.7%)	3 (2.2%)	38 (28.1%)
+20% or more	1 (0.7%)	2 (1.5%)	25 (18.5%)
+30% or more	0 (0.0%)	2 (1.5%)	20 (14.8%)
+50% or more	0 (0.0%)	2 (1.5%)	17 (12.6%)
+100% or more	0 (0.0%)	0 (0.0%)	9 (6.7%)
−0.1% or lower	133 (97.8%)	134 (99.3%)	134 (99.3%)
−0.2% or lower	121 (89.0%)	128 (94.8%)	130 (96.3%)
−0.5% or lower	88 (64.7%)	111 (82.2%)	123 (91.1%)
−1% or lower	42 (30.9%)	87 (64.4%)	109 (80.7%)
−2% or lower	10 (7.4%)	46 (34.1%)	89 (65.9%)
−5% or lower	0 (0.0%)	8 (5.9%)	45 (33.3%)
−10% or lower	0 (0.0%)	2 (1.5%)	16 (11.9%)

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	822	820	812
Too recent	4	6	14
+1% or more	210 (25.5%)	420 (51.2%)	642 (79.1%)
+2% or more	73 (8.9%)	222 (27.1%)	508 (62.6%)
+5% or more	11 (1.3%)	49 (6.0%)	235 (28.9%)
+10% or more	3 (0.4%)	14 (1.7%)	102 (12.6%)
+15% or more	3 (0.4%)	9 (1.1%)	71 (8.7%)
+20% or more	2 (0.2%)	8 (1.0%)	56 (6.9%)
−1% or lower	223 (27.1%)	464 (56.6%)	701 (86.3%)
−2% or lower	52 (6.3%)	213 (26.0%)	568 (70.0%)
−5% or lower	4 (0.5%)	36 (4.4%)	226 (27.8%)
−10% or lower	0 (0.0%)	2 (0.2%)	38 (4.7%)
−15% or lower	0 (0.0%)	0 (0.0%)	2 (0.2%)

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. 135 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 135 with a complete 24 hours.

Price 30 minutes laterForward 30-minute returns across 136 matches: close to an even split, which is what a coin flip looks like. 1 too recent.

How to read a distribution

Matches per UTC day

29 Jul14 matches
30 Jul7 matches
31 Jul12 matches
1 Aug10 matches
2 Aug13 matches
3 Aug10 matches
4 Aug11 matches
5 Aug10 matches
6 Aug7 matches
7 Aug0 matches
8 Aug0 matches
9 Aug0 matches
10 Aug6 matches
11 Aug10 matches
12 Aug11 matches
13 Aug12 matches
14 Aug0 matches
15 Aug0 matches
16 Aug0 matches
17 Aug0 matches
18 Aug0 matches
19 Aug0 matches
20 Aug0 matches
21 Aug0 matches
22 Aug0 matches
23 Aug1 match
24 Aug1 match
25 Aug2 matches
26 Aug0 matches
27 Aug0 matches
28 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 40,291 eligible market-minutes (eligible_symbol_buckets) on ACEUSDT, 2026-07-29 00:00 to 2026-08-28 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#90be1859)

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: 05b29cd468065017b7cf9416c1575bbc21a06d7f16ba37152dec09c4797f14b7
query hash: 90be1859ee0dc85f745a7b6e53c97c098eb4af1b6bc62706ee58d1ebba1e3d6b
scanned window: 2026-07-29T00:00:00.000Z to 2026-08-28T00:00:00.000Z (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",
        "aceusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-07-29T00:00:00.000Z",
          "2026-08-28T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","aceusdt"],["times.anchor_time","between",["2026-07-29T00:00:00.000Z","2026-08-28T00:00:00.000Z"]]]},"sort":["times.anchor_time","desc"],"page":{"limit":50,"cursor":null}}'

One-sided tape: buyers on ACEUSDT

Read it in context

Read ACEUSDT itself

Its recorded moves

Test it on ACEUSDT, then plan it

What happened in the next 24 hours?

Price touched +5% or higher

Price touched −10% or lower

Over the full record