GWEIUSDT · recorded history

Swept the lows and reclaimed (1h) on GWEIUSDT

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 GWEIUSDT itself
Inspect GWEIUSDT now or at a past minute
Its recorded moves
GWEIUSDT market events and replays
Test it on GWEIUSDT, then plan it
A tested result leads to Plan a trade, which measures what trading it would have paid after costs.
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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: 48.8% · 21 of 43 minutes
Other minutes: 56.3% · 20,859 of 37,064 minutes

Price touched −10% or lower

When this held: 39.5% · 17 of 43 minutes
Other minutes: 43.5% · 16,141 of 37,064 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

All 43 matches have a full 24 hours after them.

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.

Over the full record

Every recorded day on GWEIUSDT, 2026-05-15 to 2026-08-14: reached +5% in 59 of 105 (56.2%); fell to −10% in 43 of 105 (41.0%), 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	43	43	43
Too recent	0	0	0
+1% or more	22 (51.2%)	34 (79.1%)	37 (86.0%)
+2% or more	11 (25.6%)	24 (55.8%)	33 (76.7%)
+5% or more	5 (11.6%)	9 (20.9%)	21 (48.8%)
+10% or more	1 (2.3%)	1 (2.3%)	8 (18.6%)
+15% or more	0 (0.0%)	0 (0.0%)	5 (11.6%)
+20% or more	0 (0.0%)	0 (0.0%)	3 (7.0%)
−1% or lower	28 (65.1%)	31 (72.1%)	38 (88.4%)
−2% or lower	18 (41.9%)	26 (60.5%)	37 (86.0%)
−5% or lower	0 (0.0%)	9 (20.9%)	28 (65.1%)
−10% or lower	0 (0.0%)	1 (2.3%)	17 (39.5%)
−15% or lower	0 (0.0%)	0 (0.0%)	6 (14.0%)

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	105	105	105
Too recent	0	0	0
+1% or more	65 (61.9%)	87 (82.9%)	92 (87.6%)
+2% or more	36 (34.3%)	65 (61.9%)	86 (81.9%)
+5% or more	14 (13.3%)	29 (27.6%)	59 (56.2%)
+10% or more	2 (1.9%)	3 (2.9%)	24 (22.9%)
+15% or more	1 (1.0%)	2 (1.9%)	15 (14.3%)
+20% or more	1 (1.0%)	1 (1.0%)	8 (7.6%)
−1% or lower	67 (63.8%)	82 (78.1%)	97 (92.4%)
−2% or lower	38 (36.2%)	65 (61.9%)	89 (84.8%)
−5% or lower	6 (5.7%)	28 (26.7%)	70 (66.7%)
−10% or lower	1 (1.0%)	5 (4.8%)	43 (41.0%)
−15% or lower	0 (0.0%)	2 (1.9%)	23 (21.9%)
−20% or lower	0 (0.0%)	1 (1.0%)	9 (8.6%)

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 43 matches: 56% of them finished down. 0 too recent.

How to read a distribution

Matches per UTC day

15 Jul4 matches
16 Jul1 match
17 Jul2 matches
18 Jul1 match
19 Jul2 matches
20 Jul3 matches
21 Jul1 match
22 Jul5 matches
23 Jul2 matches
24 Jul1 match
25 Jul1 match
26 Jul3 matches
27 Jul2 matches
28 Jul0 matches
29 Jul0 matches
30 Jul4 matches
31 Jul2 matches
1 Aug2 matches
2 Aug0 matches
3 Aug1 match
4 Aug1 match
5 Aug1 match
6 Aug0 matches
7 Aug0 matches
8 Aug0 matches
9 Aug1 match
10 Aug0 matches
11 Aug2 matches
12 Aug1 match
13 Aug0 matches
14 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 GWEIUSDT, 2026-07-15 00:00 to 2026-08-14 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#2e98f731)

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: 3f9230e34c0a14e16a7bb3035842c9f073de8c4cb679de6f70e64bbb2153d03a
query hash: 2e98f7314ee818dd6e6461e8938d17bcd32bb2560aa92cbb91a661f2c6ac6b95
scanned window: 2026-07-15T00:00:00.000Z to 2026-08-14T00:00:00.000Z (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",
        "gweiusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-07-15T00:00:00.000Z",
          "2026-08-14T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","gweiusdt"],["times.anchor_time","between",["2026-07-15T00:00:00.000Z","2026-08-14T00:00:00.000Z"]]]},"sort":["times.anchor_time","desc"],"page":{"limit":50,"cursor":null}}'

Swept the lows and reclaimed (1h) on GWEIUSDT

Read it in context

Read GWEIUSDT itself

Its recorded moves

Test it on GWEIUSDT, then plan it

What happened in the next 24 hours?

Price touched +5% or higher

Price touched −10% or lower

Over the full record