Swept the lows and reclaimed (1h) on BNBUSDT
The last completed one-hour candle swept prior lows and closed back above them: the "bullish" sweep and reclaim formation on the hourly.
What has happened on BNBUSDT when it held
Historically, when Swept the lows and reclaimed (1h) on BNBUSDT held (34 occurrences in the scanned window, 32 with a computable 24h horizon), the market reached +5% within 24h in 0 of 32 (0.0) and drew down 10%+ in 0 of 32 (0.0). Maximum favorable (MFE) and maximum adverse (MAE) excursions, both computed forward.
Outcome distribution
0 OF 34 (0.0%) REACHED ≥ +5% WITHIN 1H
🔒 COMPUTED FORWARD, NEVER A FILTER · DENOMINATOR 34 = MATCHES WITH A COMPLETE 1H HORIZON
About 1.1 a day, on 16 of 31 days: spread through the record rather than one event.
Forward 30-minute returns across 34 matches: 59% of them finished up.
Versus baseline
Historically, when any eligible BNBUSDT minute in the window (baseline) held (39,301 occurrences in the scanned window, 38,056 with a computable 24h horizon), the market reached +5% within 24h in 0 of 38,056 (0.0) and drew down 10%+ in 0 of 38,056 (0.0). Maximum favorable (MFE) and maximum adverse (MAE) excursions, both computed forward.
The full record
The same setup counted over every recorded day on BNBUSDT (2026-05-15 to 2026-07-31), growing daily.
Historically, when Swept the lows and reclaimed (1h) on BNBUSDT over the full record held (104 occurrences in the scanned window, 102 with a computable 24h horizon), the market reached +5% within 24h in 2 of 102 (2.0) and drew down 10%+ in 0 of 102 (0.0). Maximum favorable (MFE) and maximum adverse (MAE) excursions, both computed forward.
0 OF 104 (0.0%) REACHED ≥ +5% WITHIN 1H
🔒 COMPUTED FORWARD, NEVER A FILTER · DENOMINATOR 104 = MATCHES WITH A COMPLETE 1H HORIZON
About 1.3 a day, on 51 of 78 days: spread through the record rather than one event.
Forward 30-minute returns across 104 matches: close to an even split, which is what a coin flip looks like.
- grammar
- research_query.v2
- normalization
- archive_normalization.v1
- feature library
- feature_defs.v1
- dataset revision
- 52a43a418a97fbe3a324f7c372fa4d53967163acaa0ed33c56b78ddd897331a4
- query hash
- 1a6dc4a2def043be555f7948eb524fdf2cba76408c3bc35e868f2b316fd4355e
- scanned window
- 2026-07-01T00:00:00.000Z to 2026-07-31T00:00:00.000Z (UTC)
Same key, same bytes. This receipt reruns; it does not retell. When the record grows, the dataset revision changes and says so.
This is the exact research_query.v2 definition behind the receipt. Send it to the key-authed research API (or the MCP research tool) and diff 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",
"bnbusdt"
],
[
"times.anchor_time",
"between",
[
"2026-07-01T00:00:00.000Z",
"2026-07-31T00:00:00.000Z"
]
]
]
},
"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","bnbusdt"],["times.anchor_time","between",["2026-07-01T00:00:00.000Z","2026-07-31T00:00:00.000Z"]]]},"sort":["times.anchor_time","desc"],"page":{"limit":50,"cursor":null}}'How to read this
- Counts ship with denominators: occurrences across the eligible symbol-buckets scanned. A rate is over the occurrences with a computable horizon (present), never the total.
- Absent is absent. When a feature was not warm at a minute, that bucket leaves the denominator and is reported; it is never coerced to zero.
- This selects a setup, never its outcome. The grammar forbids filtering on what followed (OUTCOME_IN_PREDICATE), so the distribution below is over every occurrence, not a survivorship-picked subset.
Occurrences are observed examples in a selected archive, not a guarantee. Outcomes are computed forward from each anchor and are descriptive, never a filter and never a prediction. Nothing here is trading advice.
Everything measured on BNBUSDT right now: the BNBUSDT research page