SKRUSDT · recorded history

Swept the lows and reclaimed (1h) on SKRUSDT

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
SKRUSDT market events and replays
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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: 43.9% · 18 of 41 minutes
Other minutes: 53.9% · 20,792 of 38,580 minutes

Price touched −10% or lower

When this held: 19.5% · 8 of 41 minutes
Other minutes: 13.4% · 5,152 of 38,580 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 41 of 45 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 1.5 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	45	44	41	40	28
Too recent	0	1	4	5	17
+0.1% or more	40 (88.9%)	42 (95.5%)	41 (100.0%)	40 (100.0%)	28
+0.2% or more	37 (82.2%)	41 (93.2%)	41 (100.0%)	40 (100.0%)	28
+0.5% or more	33 (73.3%)	37 (84.1%)	39 (95.1%)	38 (95.0%)	26
+1% or more	17 (37.8%)	32 (72.7%)	35 (85.4%)	36 (90.0%)	24
+2% or more	7 (15.6%)	19 (43.2%)	26 (63.4%)	31 (77.5%)	22
+5% or more	2 (4.4%)	4 (9.1%)	18 (43.9%)	25 (62.5%)	19
+10% or more	1 (2.2%)	2 (4.5%)	9 (22.0%)	17 (42.5%)	17
+15% or more	1 (2.2%)	1 (2.3%)	6 (14.6%)	10 (25.0%)	15
+20% or more	1 (2.2%)	1 (2.3%)	4 (9.8%)	10 (25.0%)	15
+30% or more	0 (0.0%)	0 (0.0%)	0 (0.0%)	5 (12.5%)	9
+50% or more	0 (0.0%)	0 (0.0%)	0 (0.0%)	4 (10.0%)	9
+100% or more	0 (0.0%)	0 (0.0%)	0 (0.0%)	1 (2.5%)	6
+200% or more	0 (0.0%)	0 (0.0%)	0 (0.0%)	1 (2.5%)	6
−0.1% or lower	42 (93.3%)	41 (93.2%)	38 (92.7%)	39 (97.5%)	27
−0.2% or lower	38 (84.4%)	40 (90.9%)	37 (90.2%)	38 (95.0%)	27
−0.5% or lower	27 (60.0%)	35 (79.5%)	35 (85.4%)	37 (92.5%)	26
−1% or lower	14 (31.1%)	26 (59.1%)	33 (80.5%)	33 (82.5%)	22
−2% or lower	9 (20.0%)	20 (45.5%)	29 (70.7%)	29 (72.5%)	19
−5% or lower	2 (4.4%)	6 (13.6%)	16 (39.0%)	21 (52.5%)	10
−10% or lower	1 (2.2%)	3 (6.8%)	8 (19.5%)	10 (25.0%)	3
−15% or lower	0 (0.0%)	0 (0.0%)	6 (14.6%)	7 (17.5%)	0
−20% or lower	0 (0.0%)	0 (0.0%)	3 (7.3%)	3 (7.5%)	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. 41 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 41 with a complete 24 hours.

Price 30 minutes laterForward 30-minute returns across 44 matches: 59% of them finished down. 1 too recent.

How to read a distribution

Matches per UTC day

8 Aug1 match
9 Aug0 matches
10 Aug2 matches
11 Aug4 matches
12 Aug2 matches
13 Aug3 matches
14 Aug1 match
15 Aug1 match
16 Aug2 matches
17 Aug1 match
18 Aug1 match
19 Aug1 match
20 Aug0 matches
21 Aug0 matches
22 Aug2 matches
23 Aug1 match
24 Aug1 match
25 Aug3 matches
26 Aug1 match
27 Aug0 matches
28 Aug1 match
29 Aug0 matches
30 Aug0 matches
31 Aug0 matches
1 Sep5 matches
2 Sep2 matches
3 Sep5 matches
4 Sep0 matches
5 Sep1 match
6 Sep4 matches
7 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 SKRUSDT, 2026-08-08 00:00 to 2026-09-07 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#4d3446f6)

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: c5654b7b634bee0cdfb2e8766a962014a6487b56594e8bce014ec5c87d905ae0
query hash: 4d3446f6872039ec72bddc6c4c8785a88f4c5411728000ab0754b04b34cc1dad
scanned window: 2026-08-08T00:00:00.000Z to 2026-09-07T00:00:00.000Z (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",
        "skrusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-08-08T00:00:00.000Z",
          "2026-09-07T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","skrusdt"],["times.anchor_time","between",["2026-08-08T00:00:00.000Z","2026-09-07T00:00:00.000Z"]]]},"sort":["times.anchor_time","desc"],"page":{"limit":50,"cursor":null}}'

Swept the lows and reclaimed (1h) on SKRUSDT

Read it in context

Read SKRUSDT itself

Its recorded moves

Test it on SKRUSDT, then plan it

What happened in the next 24 hours?

Price touched +5% or higher

Price touched −10% or lower