BRUSDT · recorded history

Swept the lows and reclaimed (1h) on BRUSDT

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?

This condition showed no clear difference for either move.

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: 66.7% · 32 of 48 minutes
Other minutes: 63.4% · 24,123 of 38,036 minutes

Price touched −10% or lower

When this held: 39.6% · 19 of 48 minutes
Other minutes: 42.1% · 16,019 of 38,036 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 48 of 52 matches with a full 24 hours after them. The 4 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 1.7 a day, on 21 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	51	50	48	43	34
Too recent	1	2	4	9	18
+0.1% or more	47 (92.2%)	50 (100.0%)	48 (100.0%)	43 (100.0%)	34 (100.0%)
+0.2% or more	45 (88.2%)	49 (98.0%)	47 (97.9%)	42 (97.7%)	34 (100.0%)
+0.5% or more	39 (76.5%)	48 (96.0%)	46 (95.8%)	42 (97.7%)	34 (100.0%)
+1% or more	28 (54.9%)	45 (90.0%)	45 (93.8%)	41 (95.3%)	34 (100.0%)
+2% or more	18 (35.3%)	32 (64.0%)	42 (87.5%)	39 (90.7%)	34 (100.0%)
+5% or more	8 (15.7%)	18 (36.0%)	32 (66.7%)	36 (83.7%)	34 (100.0%)
+10% or more	4 (7.8%)	7 (14.0%)	22 (45.8%)	30 (69.8%)	33 (97.1%)
+15% or more	1 (2.0%)	3 (6.0%)	16 (33.3%)	24 (55.8%)	31 (91.2%)
+20% or more	1 (2.0%)	2 (4.0%)	14 (29.2%)	23 (53.5%)	30 (88.2%)
+30% or more	0 (0.0%)	1 (2.0%)	8 (16.7%)	21 (48.8%)	29 (85.3%)
+50% or more	0 (0.0%)	1 (2.0%)	7 (14.6%)	18 (41.9%)	25 (73.5%)
+100% or more	0 (0.0%)	0 (0.0%)	5 (10.4%)	13 (30.2%)	17 (50.0%)
+200% or more	0 (0.0%)	0 (0.0%)	2 (4.2%)	5 (11.6%)	12 (35.3%)
+400% or more	0 (0.0%)	0 (0.0%)	0 (0.0%)	0 (0.0%)	5 (14.7%)
−0.1% or lower	49 (96.1%)	49 (98.0%)	48 (100.0%)	43 (100.0%)	34 (100.0%)
−0.2% or lower	46 (90.2%)	48 (96.0%)	48 (100.0%)	43 (100.0%)	34 (100.0%)
−0.5% or lower	45 (88.2%)	48 (96.0%)	48 (100.0%)	43 (100.0%)	34 (100.0%)
−1% or lower	32 (62.7%)	42 (84.0%)	46 (95.8%)	42 (97.7%)	33 (97.1%)
−2% or lower	18 (35.3%)	32 (64.0%)	41 (85.4%)	39 (90.7%)	31 (91.2%)
−5% or lower	6 (11.8%)	17 (34.0%)	30 (62.5%)	32 (74.4%)	27 (79.4%)
−10% or lower	2 (3.9%)	8 (16.0%)	19 (39.6%)	21 (48.8%)	20 (58.8%)
−15% or lower	0 (0.0%)	1 (2.0%)	13 (27.1%)	17 (39.5%)	16 (47.1%)
−20% or lower	0 (0.0%)	1 (2.0%)	7 (14.6%)	12 (27.9%)	9 (26.5%)
−30% or lower	0 (0.0%)	1 (2.0%)	1 (2.1%)	2 (4.7%)	1 (2.9%)
−50% or lower	0 (0.0%)	0 (0.0%)	1 (2.1%)	1 (2.3%)	1 (2.9%)

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. 48 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 48 with a complete 24 hours.

Price 30 minutes laterForward 30-minute returns across 51 matches: 59% of them finished down. 1 too recent.

How to read a distribution

Matches per UTC day

29 Aug2 matches
30 Aug4 matches
31 Aug0 matches
1 Sep2 matches
2 Sep1 match
3 Sep0 matches
4 Sep0 matches
5 Sep4 matches
6 Sep4 matches
7 Sep0 matches
8 Sep0 matches
9 Sep0 matches
10 Sep1 match
11 Sep4 matches
12 Sep3 matches
13 Sep0 matches
14 Sep0 matches
15 Sep4 matches
16 Sep3 matches
17 Sep1 match
18 Sep1 match
19 Sep0 matches
20 Sep0 matches
21 Sep1 match
22 Sep4 matches
23 Sep2 matches
24 Sep2 matches
25 Sep4 matches
26 Sep1 match
27 Sep3 matches
28 Sep1 match

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 43,201 eligible market-minutes (eligible_symbol_buckets) on BRUSDT, 2026-08-29 00:00 to 2026-09-28 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#eb894957)

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: 1ae64ce77e69a0300bd06eb5096c5ef51d9816145d46f15da1e5e2bf02010153
query hash: eb894957b455596c2f0bed4c395a463df3cb5098bc4107885ba45d9d524f9ae3
scanned window: 2026-08-29T00:00:00.000Z to 2026-09-28T00:00:00.000Z (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",
        "brusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-08-29T00:00:00.000Z",
          "2026-09-28T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","brusdt"],["times.anchor_time","between",["2026-08-29T00:00:00.000Z","2026-09-28T00:00:00.000Z"]]]},"sort":["times.anchor_time","desc"],"page":{"limit":50,"cursor":null}}'

Swept the lows and reclaimed (1h) on BRUSDT

Read it in context

Read BRUSDT itself

Its recorded moves

Test it on BRUSDT, then plan it

What happened in the next 24 hours?

Price touched +5% or higher

Price touched −10% or lower