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

Swept the lows and reclaimed (1h) on PROMUSDT

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 PROMUSDT itself

    Inspect PROMUSDT now or at a past minute

  2. Its recorded moves

    PROMUSDT market events and replays

  3. Test it on PROMUSDT, 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
77.5% · 31 of 40 minutes
Other minutes
76.5% · 29,699 of 38,821 minutes

Price touched −10% or lower

When this held
37.5% · 15 of 40 minutes
Other minutes
35.4% · 13,734 of 38,821 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 40 of 42 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
Matches per UTC day, 2026-08-07 to 2026-09-06

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.
Move1 hour4 hours24 hours72 hours7 days
Measured4140403929
Too recent122313
+0.1% or more39 (95.1%)40 (100.0%)40 (100.0%)39 (100.0%)29
+0.2% or more38 (92.7%)38 (95.0%)40 (100.0%)39 (100.0%)29
+0.5% or more34 (82.9%)35 (87.5%)39 (97.5%)38 (97.4%)29
+1% or more25 (61.0%)32 (80.0%)39 (97.5%)38 (97.4%)29
+2% or more9 (22.0%)21 (52.5%)34 (85.0%)36 (92.3%)29
+5% or more5 (12.2%)10 (25.0%)31 (77.5%)35 (89.7%)29
+10% or more3 (7.3%)4 (10.0%)21 (52.5%)29 (74.4%)29
+15% or more0 (0.0%)2 (5.0%)14 (35.0%)25 (64.1%)28
+20% or more0 (0.0%)1 (2.5%)8 (20.0%)18 (46.2%)26
+30% or more0 (0.0%)1 (2.5%)5 (12.5%)17 (43.6%)24
+50% or more0 (0.0%)1 (2.5%)2 (5.0%)8 (20.5%)23
+100% or more0 (0.0%)0 (0.0%)0 (0.0%)0 (0.0%)6
−0.1% or lower39 (95.1%)39 (97.5%)40 (100.0%)39 (100.0%)29
−0.2% or lower39 (95.1%)39 (97.5%)40 (100.0%)39 (100.0%)29
−0.5% or lower31 (75.6%)36 (90.0%)39 (97.5%)39 (100.0%)29
−1% or lower21 (51.2%)30 (75.0%)37 (92.5%)37 (94.9%)27
−2% or lower12 (29.3%)22 (55.0%)33 (82.5%)35 (89.7%)27
−5% or lower3 (7.3%)12 (30.0%)25 (62.5%)32 (82.1%)24
−10% or lower0 (0.0%)2 (5.0%)15 (37.5%)27 (69.2%)21
−15% or lower0 (0.0%)0 (0.0%)6 (15.0%)20 (51.3%)16
−20% or lower0 (0.0%)0 (0.0%)3 (7.5%)10 (25.6%)11
−30% or lower0 (0.0%)0 (0.0%)0 (0.0%)2 (5.1%)0

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. 40 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. 40 with a complete 24 hours.
Price 30 minutes laterForward 30-minute returnForward 30-minute returns across 41 matches: close to an even split, which is what a coin flip looks like. 1 too recent.

How to read a distribution

Matches per UTC day

  • 7 Aug1 match
  • 8 Aug5 matches
  • 9 Aug1 match
  • 10 Aug3 matches
  • 11 Aug0 matches
  • 12 Aug1 match
  • 13 Aug4 matches
  • 14 Aug1 match
  • 15 Aug1 match
  • 16 Aug1 match
  • 17 Aug3 matches
  • 18 Aug2 matches
  • 19 Aug0 matches
  • 20 Aug1 match
  • 21 Aug0 matches
  • 22 Aug0 matches
  • 23 Aug1 match
  • 24 Aug0 matches
  • 25 Aug0 matches
  • 26 Aug3 matches
  • 27 Aug0 matches
  • 28 Aug0 matches
  • 29 Aug1 match
  • 30 Aug1 match
  • 31 Aug2 matches
  • 1 Sep3 matches
  • 2 Sep4 matches
  • 3 Sep0 matches
  • 4 Sep1 match
  • 5 Sep1 match
  • 6 Sep1 match
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 PROMUSDT, 2026-08-07 00:00 to 2026-09-06 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#a034825a)

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
efb3e60c9f99697194e7d2005a6dd78efc5a172ca26e43c53f20933e53416672
query hash
a034825aebd1cdb1e087e3ca3d798a13e21a43026d7ff2652744f9a67197336f
scanned window
2026-08-07T00:00:00.000Z to 2026-09-06T00:00:00.000Z (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",
        "promusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-08-07T00:00:00.000Z",
          "2026-09-06T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","promusdt"],["times.anchor_time","between",["2026-08-07T00:00:00.000Z","2026-09-06T00:00:00.000Z"]]]},"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.