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< Swept the lows and reclaimed (1h)
BTWUSDT · recorded history

Swept the lows and reclaimed (1h) on BTWUSDT

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

  1. Read BTWUSDT itself

    Inspect BTWUSDT now or at a past minute

  2. Its recorded moves

    BTWUSDT market events and replays

  3. Test it on BTWUSDT, 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 more 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
84.4% · 27 of 32 minutes
Other minutes
76.6% · 28,386 of 37,047 minutes

Price touched −10% or lower

When this held
71.9% · 23 of 32 minutes
Other minutes
49.7% · 18,404 of 37,047 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 32 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
Matches per UTC day, 2026-10-04 to 2026-11-03

About 1 a day, on 18 of 31 days: spread through the record rather than one event.

Over the full record

Every recorded day on BTWUSDT, 2026-09-01 to 2026-10-01: reached +5% in 24 of 32 (75.0%); fell to −10% in 10 of 32 (31.3%), 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.
Move1 hour4 hours24 hours72 hours7 days
Measured3232322722
Too recent000510
+0.1% or more32 (100.0%)32 (100.0%)32 (100.0%)2722
+0.2% or more30 (93.8%)32 (100.0%)32 (100.0%)2722
+0.5% or more25 (78.1%)30 (93.8%)32 (100.0%)2722
+1% or more22 (68.8%)28 (87.5%)32 (100.0%)2722
+2% or more19 (59.4%)28 (87.5%)32 (100.0%)2722
+5% or more9 (28.1%)16 (50.0%)27 (84.4%)2621
+10% or more2 (6.3%)7 (21.9%)16 (50.0%)2220
+15% or more2 (6.3%)2 (6.3%)8 (25.0%)1918
+20% or more1 (3.1%)2 (6.3%)5 (15.6%)1717
+30% or more0 (0.0%)0 (0.0%)3 (9.4%)1014
+50% or more0 (0.0%)0 (0.0%)0 (0.0%)17
+100% or more0 (0.0%)0 (0.0%)0 (0.0%)01
−0.1% or lower30 (93.8%)31 (96.9%)31 (96.9%)2722
−0.2% or lower29 (90.6%)30 (93.8%)30 (93.8%)2621
−0.5% or lower27 (84.4%)30 (93.8%)30 (93.8%)2621
−1% or lower25 (78.1%)28 (87.5%)30 (93.8%)2621
−2% or lower16 (50.0%)22 (68.8%)27 (84.4%)2420
−5% or lower7 (21.9%)16 (50.0%)25 (78.1%)2318
−10% or lower1 (3.1%)11 (34.4%)23 (71.9%)2217
−15% or lower0 (0.0%)6 (18.8%)17 (53.1%)2016
−20% or lower0 (0.0%)2 (6.3%)13 (40.6%)1716
−30% or lower0 (0.0%)1 (3.1%)4 (12.5%)914
−50% or lower0 (0.0%)0 (0.0%)0 (0.0%)02

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.
Move1 hour4 hours24 hours72 hours7 days
Measured3434323127
Too recent00237
+0.1% or more32 (94.1%)32 (94.1%)31 (96.9%)31 (100.0%)27
+0.2% or more30 (88.2%)32 (94.1%)31 (96.9%)31 (100.0%)27
+0.5% or more27 (79.4%)32 (94.1%)31 (96.9%)31 (100.0%)27
+1% or more19 (55.9%)28 (82.4%)31 (96.9%)31 (100.0%)27
+2% or more14 (41.2%)25 (73.5%)31 (96.9%)31 (100.0%)27
+5% or more8 (23.5%)14 (41.2%)24 (75.0%)29 (93.5%)27
+10% or more1 (2.9%)6 (17.6%)16 (50.0%)27 (87.1%)27
+15% or more0 (0.0%)4 (11.8%)10 (31.3%)20 (64.5%)26
+20% or more0 (0.0%)1 (2.9%)7 (21.9%)16 (51.6%)24
+30% or more0 (0.0%)1 (2.9%)6 (18.8%)16 (51.6%)24
+50% or more0 (0.0%)1 (2.9%)3 (9.4%)8 (25.8%)16
+100% or more0 (0.0%)0 (0.0%)0 (0.0%)0 (0.0%)6
−0.1% or lower32 (94.1%)33 (97.1%)32 (100.0%)31 (100.0%)27
−0.2% or lower32 (94.1%)33 (97.1%)32 (100.0%)31 (100.0%)27
−0.5% or lower30 (88.2%)33 (97.1%)32 (100.0%)31 (100.0%)27
−1% or lower22 (64.7%)29 (85.3%)30 (93.8%)31 (100.0%)27
−2% or lower16 (47.1%)21 (61.8%)27 (84.4%)29 (93.5%)25
−5% or lower5 (14.7%)6 (17.6%)21 (65.6%)27 (87.1%)23
−10% or lower2 (5.9%)2 (5.9%)10 (31.3%)17 (54.8%)14
−15% or lower1 (2.9%)1 (2.9%)5 (15.6%)11 (35.5%)11
−20% or lower0 (0.0%)1 (2.9%)2 (6.3%)8 (25.8%)6

Each window counts only matches old enough for it, so a longer window can show fewer.

Distributions and daily counts
Upside reached · 24hUpside reached (MFE, 24h)The most price moved up within 24 hours of each match: a high-water mark, never a close. 32 with a complete 24 hours.
Drawdown · 24hDrawdown (MAE, 24h)The worst price moved against within 24 hours of each match: the deepest point, never the close. 32 with a complete 24 hours.
Price 30 minutes laterForward 30-minute returnForward 30-minute returns across 32 matches: 56% of them finished down. 0 too recent.

How to read a distribution

Matches per UTC day

  • 4 Oct1 match
  • 5 Oct2 matches
  • 6 Oct1 match
  • 7 Oct1 match
  • 8 Oct0 matches
  • 9 Oct1 match
  • 10 Oct1 match
  • 11 Oct0 matches
  • 12 Oct1 match
  • 13 Oct0 matches
  • 14 Oct0 matches
  • 15 Oct3 matches
  • 16 Oct2 matches
  • 17 Oct0 matches
  • 18 Oct0 matches
  • 19 Oct4 matches
  • 20 Oct2 matches
  • 21 Oct2 matches
  • 22 Oct0 matches
  • 23 Oct0 matches
  • 24 Oct0 matches
  • 25 Oct1 match
  • 26 Oct2 matches
  • 27 Oct0 matches
  • 28 Oct1 match
  • 29 Oct2 matches
  • 30 Oct4 matches
  • 31 Oct1 match
  • 1 Nov0 matches
  • 2 Nov0 matches
  • 3 Nov0 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 40,922 eligible market-minutes (eligible_symbol_buckets) on BTWUSDT, 2026-10-04 00:00 to 2026-11-03 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#751cbaa1)

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
de0f2ef50baf530a363ce0c08cc21c068b14c0b5cf13829e8ff800ee4b3f829f
query hash
751cbaa1b24641147aaed6711fea214ec7230e78530084a63131102004198e9a
scanned window
2026-10-04T00:00:00.000Z to 2026-11-03T00:00:00.000Z (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",
        "btwusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-10-04T00:00:00.000Z",
          "2026-11-03T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","btwusdt"],["times.anchor_time","between",["2026-10-04T00:00:00.000Z","2026-11-03T00:00:00.000Z"]]]},"sort":["times.anchor_time","desc"],"page":{"limit":50,"cursor":null}}'

Past examples from the record, not a guarantee or a prediction. Nothing here is trading advice.