PENGUUSDT · recorded history

Swept the lows and reclaimed (1h) on PENGUUSDT

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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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: 45.9% · 17 of 37 minutes
Other minutes: 41.2% · 16,152 of 39,181 minutes

Price touched −10% or lower

When this held: 0.0% · 0 of 37 minutes
Other minutes: 2.3% · 900 of 39,181 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 37 of 39 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 1.3 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	39	38	37	32	28
Too recent	0	1	2	7	11
+0.1% or more	38 (97.4%)	38 (100.0%)	37 (100.0%)	32 (100.0%)	28
+0.2% or more	37 (94.9%)	38 (100.0%)	37 (100.0%)	32 (100.0%)	28
+0.5% or more	27 (69.2%)	30 (78.9%)	34 (91.9%)	32 (100.0%)	28
+1% or more	15 (38.5%)	22 (57.9%)	31 (83.8%)	31 (96.9%)	27
+2% or more	3 (7.7%)	13 (34.2%)	25 (67.6%)	27 (84.4%)	23
+5% or more	0 (0.0%)	3 (7.9%)	17 (45.9%)	20 (62.5%)	18
+10% or more	0 (0.0%)	0 (0.0%)	2 (5.4%)	9 (28.1%)	13
+15% or more	0 (0.0%)	0 (0.0%)	0 (0.0%)	6 (18.8%)	11
+20% or more	0 (0.0%)	0 (0.0%)	0 (0.0%)	3 (9.4%)	9
+30% or more	0 (0.0%)	0 (0.0%)	0 (0.0%)	3 (9.4%)	8
+50% or more	0 (0.0%)	0 (0.0%)	0 (0.0%)	0 (0.0%)	2
−0.1% or lower	33 (84.6%)	34 (89.5%)	35 (94.6%)	31 (96.9%)	27
−0.2% or lower	30 (76.9%)	33 (86.8%)	35 (94.6%)	31 (96.9%)	27
−0.5% or lower	23 (59.0%)	30 (78.9%)	34 (91.9%)	31 (96.9%)	27
−1% or lower	11 (28.2%)	25 (65.8%)	33 (89.2%)	31 (96.9%)	27
−2% or lower	6 (15.4%)	14 (36.8%)	29 (78.4%)	28 (87.5%)	25
−5% or lower	0 (0.0%)	1 (2.6%)	12 (32.4%)	17 (53.1%)	20
−10% or lower	0 (0.0%)	0 (0.0%)	0 (0.0%)	6 (18.8%)	10
−15% or lower	0 (0.0%)	0 (0.0%)	0 (0.0%)	0 (0.0%)	7

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. 37 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 37 with a complete 24 hours.

Price 30 minutes laterForward 30-minute returns across 39 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

1 Sep1 match
2 Sep1 match
3 Sep0 matches
4 Sep1 match
5 Sep0 matches
6 Sep1 match
7 Sep2 matches
8 Sep2 matches
9 Sep3 matches
10 Sep2 matches
11 Sep2 matches
12 Sep0 matches
13 Sep1 match
14 Sep1 match
15 Sep3 matches
16 Sep2 matches
17 Sep0 matches
18 Sep0 matches
19 Sep2 matches
20 Sep2 matches
21 Sep0 matches
22 Sep0 matches
23 Sep2 matches
24 Sep2 matches
25 Sep1 match
26 Sep1 match
27 Sep0 matches
28 Sep4 matches
29 Sep1 match
30 Sep2 matches
1 Oct0 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 PENGUUSDT, 2026-09-01 00:00 to 2026-10-01 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#fc236b1f)

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: c764b05a2cce2a39e38b40d35fcb2488ecc1bfda3dfbabbbd252d4ba3f3a9680
query hash: fc236b1fd92203055ca7091a2f94f3019b112c62d5525ce5e2af11ee6082ca26
scanned window: 2026-09-01T00:00:00.000Z to 2026-10-01T00:00:00.000Z (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",
        "penguusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-09-01T00:00:00.000Z",
          "2026-10-01T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","penguusdt"],["times.anchor_time","between",["2026-09-01T00:00:00.000Z","2026-10-01T00:00:00.000Z"]]]},"sort":["times.anchor_time","desc"],"page":{"limit":50,"cursor":null}}'

Swept the lows and reclaimed (1h) on PENGUUSDT

Read it in context

Read PENGUUSDT itself

Test it on PENGUUSDT, then plan it

What happened in the next 24 hours?

Price touched +5% or higher

Price touched −10% or lower