ACEUSDT · recorded history

Swept the lows and reclaimed (1h) on ACEUSDT

The last completed one-hour candle swept prior lows and closed back above them: the "bullish" sweep and reclaim formation on the hourly.

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Its recorded moves
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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: 76.2% · 32 of 42 minutes
Other minutes: 77.8% · 27,598 of 35,463 minutes

Price touched −10% or lower

When this held: 21.4% · 9 of 42 minutes
Other minutes: 36.1% · 12,793 of 35,463 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 42 of 43 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 1.4 a day, on 24 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 32 of 112 (28.6%); fell to −10% in 10 of 112 (8.9%), 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	43	42	42
Too recent	0	1	1
+0.1% or more	42 (97.7%)	42 (100.0%)	42 (100.0%)
+0.2% or more	40 (93.0%)	41 (97.6%)	41 (97.6%)
+0.5% or more	29 (67.4%)	38 (90.5%)	40 (95.2%)
+1% or more	23 (53.5%)	31 (73.8%)	38 (90.5%)
+2% or more	12 (27.9%)	23 (54.8%)	36 (85.7%)
+5% or more	1 (2.3%)	12 (28.6%)	32 (76.2%)
+10% or more	0 (0.0%)	4 (9.5%)	25 (59.5%)
+15% or more	0 (0.0%)	3 (7.1%)	18 (42.9%)
+20% or more	0 (0.0%)	2 (4.8%)	16 (38.1%)
+30% or more	0 (0.0%)	2 (4.8%)	12 (28.6%)
+50% or more	0 (0.0%)	1 (2.4%)	10 (23.8%)
−0.1% or lower	42 (97.7%)	41 (97.6%)	41 (97.6%)
−0.2% or lower	39 (90.7%)	39 (92.9%)	41 (97.6%)
−0.5% or lower	32 (74.4%)	38 (90.5%)	41 (97.6%)
−1% or lower	26 (60.5%)	33 (78.6%)	38 (90.5%)
−2% or lower	16 (37.2%)	28 (66.7%)	32 (76.2%)
−5% or lower	4 (9.3%)	13 (31.0%)	27 (64.3%)
−10% or lower	1 (2.3%)	2 (4.8%)	9 (21.4%)
−15% or lower	0 (0.0%)	0 (0.0%)	3 (7.1%)
−20% or lower	0 (0.0%)	0 (0.0%)	2 (4.8%)
−30% or lower	0 (0.0%)	0 (0.0%)	1 (2.4%)

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	115	115	112
Too recent	0	0	3
+1% or more	44 (38.3%)	75 (65.2%)	93 (83.0%)
+2% or more	12 (10.4%)	38 (33.0%)	73 (65.2%)
+5% or more	1 (0.9%)	13 (11.3%)	32 (28.6%)
+10% or more	0 (0.0%)	2 (1.7%)	16 (14.3%)
+15% or more	0 (0.0%)	1 (0.9%)	10 (8.9%)
+20% or more	0 (0.0%)	0 (0.0%)	9 (8.0%)
−1% or lower	37 (32.2%)	65 (56.5%)	98 (87.5%)
−2% or lower	19 (16.5%)	43 (37.4%)	79 (70.5%)
−5% or lower	1 (0.9%)	13 (11.3%)	37 (33.0%)
−10% or lower	0 (0.0%)	0 (0.0%)	10 (8.9%)
−15% or lower	0 (0.0%)	0 (0.0%)	3 (2.7%)
−20% or lower	0 (0.0%)	0 (0.0%)	2 (1.8%)

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. 42 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 42 with a complete 24 hours.

Price 30 minutes laterForward 30-minute returns across 43 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

29 Jul1 match
30 Jul5 matches
31 Jul0 matches
1 Aug1 match
2 Aug3 matches
3 Aug1 match
4 Aug1 match
5 Aug2 matches
6 Aug0 matches
7 Aug1 match
8 Aug2 matches
9 Aug2 matches
10 Aug2 matches
11 Aug1 match
12 Aug3 matches
13 Aug2 matches
14 Aug0 matches
15 Aug2 matches
16 Aug1 match
17 Aug2 matches
18 Aug2 matches
19 Aug2 matches
20 Aug1 match
21 Aug1 match
22 Aug0 matches
23 Aug3 matches
24 Aug1 match
25 Aug1 match
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 40,321 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#ffb96cf0)

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: ffb96cf080ed8e380b62a045ac1b6fc33c10c17fafccac536b045cbdca41c250
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.candle_sweep_reclaim_1h",
        "eq",
        "bullish"
      ],
      [
        "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.candle_sweep_reclaim_1h","eq","bullish"],["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}}'

Swept the lows and reclaimed (1h) 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