BLUAIUSDT · recorded history

Swept the lows and reclaimed (1h) on BLUAIUSDT

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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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: 54.8% · 17 of 31 minutes
Other minutes: 48.1% · 18,307 of 38,061 minutes

Price touched −10% or lower

When this held: 6.5% · 2 of 31 minutes
Other minutes: 18.8% · 7,162 of 38,061 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 31 of 33 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 1.1 a day, on 21 of 31 days: spread through the record rather than one event.

Over the full record

Every recorded day on BLUAIUSDT, 2026-05-15 to 2026-08-14: reached +5% in 38 of 82 (46.3%); fell to −10% in 11 of 82 (13.4%), 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	32	32	31
Too recent	1	1	2
+0.1% or more	29 (90.6%)	32 (100.0%)	31 (100.0%)
+0.2% or more	25 (78.1%)	30 (93.8%)	30 (96.8%)
+0.5% or more	17 (53.1%)	23 (71.9%)	30 (96.8%)
+1% or more	12 (37.5%)	19 (59.4%)	30 (96.8%)
+2% or more	5 (15.6%)	13 (40.6%)	27 (87.1%)
+5% or more	2 (6.3%)	4 (12.5%)	17 (54.8%)
+10% or more	1 (3.1%)	1 (3.1%)	8 (25.8%)
+15% or more	1 (3.1%)	1 (3.1%)	6 (19.4%)
+20% or more	1 (3.1%)	1 (3.1%)	6 (19.4%)
+30% or more	0 (0.0%)	1 (3.1%)	4 (12.9%)
+50% or more	0 (0.0%)	0 (0.0%)	4 (12.9%)
−0.1% or lower	29 (90.6%)	30 (93.8%)	30 (96.8%)
−0.2% or lower	29 (90.6%)	30 (93.8%)	30 (96.8%)
−0.5% or lower	21 (65.6%)	28 (87.5%)	28 (90.3%)
−1% or lower	13 (40.6%)	24 (75.0%)	26 (83.9%)
−2% or lower	7 (21.9%)	12 (37.5%)	19 (61.3%)
−5% or lower	2 (6.3%)	3 (9.4%)	10 (32.3%)
−10% or lower	1 (3.1%)	1 (3.1%)	2 (6.5%)
−15% or lower	0 (0.0%)	1 (3.1%)	2 (6.5%)
−20% or lower	0 (0.0%)	1 (3.1%)	2 (6.5%)
−30% or lower	0 (0.0%)	0 (0.0%)	2 (6.5%)

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	83	83	82
Too recent	1	1	2
+1% or more	42 (50.6%)	63 (75.9%)	77 (93.9%)
+2% or more	20 (24.1%)	44 (53.0%)	71 (86.6%)
+5% or more	4 (4.8%)	11 (13.3%)	38 (46.3%)
+10% or more	1 (1.2%)	3 (3.6%)	16 (19.5%)
+15% or more	1 (1.2%)	1 (1.2%)	9 (11.0%)
+20% or more	1 (1.2%)	1 (1.2%)	9 (11.0%)
−1% or lower	40 (48.2%)	60 (72.3%)	72 (87.8%)
−2% or lower	16 (19.3%)	32 (38.6%)	53 (64.6%)
−5% or lower	4 (4.8%)	9 (10.8%)	28 (34.1%)
−10% or lower	1 (1.2%)	4 (4.8%)	11 (13.4%)
−15% or lower	0 (0.0%)	4 (4.8%)	7 (8.5%)
−20% or lower	0 (0.0%)	1 (1.2%)	6 (7.3%)

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. 31 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 31 with a complete 24 hours.

Price 30 minutes laterForward 30-minute returns across 32 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

18 Jul0 matches
19 Jul2 matches
20 Jul0 matches
21 Jul0 matches
22 Jul0 matches
23 Jul2 matches
24 Jul2 matches
25 Jul1 match
26 Jul1 match
27 Jul3 matches
28 Jul1 match
29 Jul2 matches
30 Jul1 match
31 Jul3 matches
1 Aug1 match
2 Aug1 match
3 Aug4 matches
4 Aug1 match
5 Aug1 match
6 Aug0 matches
7 Aug1 match
8 Aug2 matches
9 Aug1 match
10 Aug1 match
11 Aug0 matches
12 Aug1 match
13 Aug0 matches
14 Aug0 matches
15 Aug1 match
16 Aug0 matches
17 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 41,761 eligible market-minutes (eligible_symbol_buckets) on BLUAIUSDT, 2026-07-18 00:00 to 2026-08-17 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#7c2a7058)

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: b49b614681261e550f26db551c43d7bbb8a19c4343c6163b1de13cdc0e2fbf5f
query hash: 7c2a7058ebf7171d1078224285c41a34488a1d640608d38229d7648913bc25dd
scanned window: 2026-07-18T00:00:00.000Z to 2026-08-17T00:00:00.000Z (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",
        "bluaiusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-07-18T00:00:00.000Z",
          "2026-08-17T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","bluaiusdt"],["times.anchor_time","between",["2026-07-18T00:00:00.000Z","2026-08-17T00:00:00.000Z"]]]},"sort":["times.anchor_time","desc"],"page":{"limit":50,"cursor":null}}'

Swept the lows and reclaimed (1h) on BLUAIUSDT

Read it in context

Read BLUAIUSDT itself

Its recorded moves

Test it on BLUAIUSDT, then plan it

What happened in the next 24 hours?

Price touched +5% or higher

Price touched −10% or lower

Over the full record