LABUSDT · recorded history

Swept the lows and reclaimed (1h) on LABUSDT

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

Read it in context

Read LABUSDT itself
Inspect LABUSDT now or at a past minute
Its recorded moves
LABUSDT market events and replays
Test it on LABUSDT, 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?

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: 37.2% · 16 of 43 minutes
Other minutes: 44.5% · 17,318 of 38,881 minutes

Price touched −10% or lower

When this held: 9.3% · 4 of 43 minutes
Other minutes: 24.2% · 9,396 of 38,881 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 43 of 44 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 22 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	44	44	43	39	32
Too recent	0	0	1	5	12
+0.1% or more	40 (90.9%)	41 (93.2%)	42 (97.7%)	39 (100.0%)	32 (100.0%)
+0.2% or more	38 (86.4%)	40 (90.9%)	42 (97.7%)	39 (100.0%)	32 (100.0%)
+0.5% or more	27 (61.4%)	36 (81.8%)	41 (95.3%)	38 (97.4%)	32 (100.0%)
+1% or more	17 (38.6%)	32 (72.7%)	39 (90.7%)	36 (92.3%)	32 (100.0%)
+2% or more	8 (18.2%)	23 (52.3%)	36 (83.7%)	34 (87.2%)	32 (100.0%)
+5% or more	1 (2.3%)	6 (13.6%)	16 (37.2%)	21 (53.8%)	31 (96.9%)
+10% or more	0 (0.0%)	1 (2.3%)	10 (23.3%)	15 (38.5%)	29 (90.6%)
+15% or more	0 (0.0%)	0 (0.0%)	4 (9.3%)	10 (25.6%)	24 (75.0%)
+20% or more	0 (0.0%)	0 (0.0%)	1 (2.3%)	7 (17.9%)	20 (62.5%)
+30% or more	0 (0.0%)	0 (0.0%)	1 (2.3%)	1 (2.6%)	7 (21.9%)
+50% or more	0 (0.0%)	0 (0.0%)	0 (0.0%)	1 (2.6%)	1 (3.1%)
−0.1% or lower	42 (95.5%)	44 (100.0%)	43 (100.0%)	39 (100.0%)	32 (100.0%)
−0.2% or lower	40 (90.9%)	43 (97.7%)	43 (100.0%)	39 (100.0%)	32 (100.0%)
−0.5% or lower	26 (59.1%)	35 (79.5%)	41 (95.3%)	38 (97.4%)	32 (100.0%)
−1% or lower	15 (34.1%)	28 (63.6%)	40 (93.0%)	38 (97.4%)	32 (100.0%)
−2% or lower	6 (13.6%)	14 (31.8%)	35 (81.4%)	34 (87.2%)	31 (96.9%)
−5% or lower	2 (4.5%)	5 (11.4%)	22 (51.2%)	32 (82.1%)	28 (87.5%)
−10% or lower	0 (0.0%)	0 (0.0%)	4 (9.3%)	25 (64.1%)	22 (68.8%)
−15% or lower	0 (0.0%)	0 (0.0%)	3 (7.0%)	15 (38.5%)	18 (56.3%)
−20% or lower	0 (0.0%)	0 (0.0%)	3 (7.0%)	15 (38.5%)	18 (56.3%)
−30% or lower	0 (0.0%)	0 (0.0%)	1 (2.3%)	11 (28.2%)	15 (46.9%)
−50% or lower	0 (0.0%)	0 (0.0%)	0 (0.0%)	2 (5.1%)	8 (25.0%)

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. 43 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 43 with a complete 24 hours.

Price 30 minutes laterForward 30-minute returns across 44 matches: 57% of them finished up. 0 too recent.

How to read a distribution

Matches per UTC day

19 Aug2 matches
20 Aug0 matches
21 Aug2 matches
22 Aug0 matches
23 Aug3 matches
24 Aug2 matches
25 Aug2 matches
26 Aug1 match
27 Aug1 match
28 Aug0 matches
29 Aug0 matches
30 Aug0 matches
31 Aug1 match
1 Sep1 match
2 Sep2 matches
3 Sep0 matches
4 Sep2 matches
5 Sep0 matches
6 Sep4 matches
7 Sep4 matches
8 Sep3 matches
9 Sep1 match
10 Sep1 match
11 Sep0 matches
12 Sep2 matches
13 Sep1 match
14 Sep4 matches
15 Sep2 matches
16 Sep2 matches
17 Sep1 match
18 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 43,201 eligible market-minutes (eligible_symbol_buckets) on LABUSDT, 2026-08-19 00:00 to 2026-09-18 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#087da380)

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: 8904ef0442c6f623ec772df2b59d7baf1e49aaa808b5b11ac31546605549e3bb
query hash: 087da3802a79d6e9a47f1f0f9956c8ecb0b9ec1629dd43866f713d90b4fcdaf5
scanned window: 2026-08-19T00:00:00.000Z to 2026-09-18T00:00:00.000Z (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",
        "labusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-08-19T00:00:00.000Z",
          "2026-09-18T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","labusdt"],["times.anchor_time","between",["2026-08-19T00:00:00.000Z","2026-09-18T00:00:00.000Z"]]]},"sort":["times.anchor_time","desc"],"page":{"limit":50,"cursor":null}}'

Swept the lows and reclaimed (1h) on LABUSDT

Read it in context

Read LABUSDT itself

Its recorded moves

Test it on LABUSDT, then plan it

What happened in the next 24 hours?

Price touched +5% or higher

Price touched −10% or lower