< Swept the lows and reclaimed (1h)1000BONKUSDT · historical base rate

Swept the lows and reclaimed (1h) on 1000BONKUSDT

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 1000BONKUSDT when it held

Historically, when Swept the lows and reclaimed (1h) on 1000BONKUSDT held (53 occurrences in the scanned window, 50 with a computable 24h horizon), the market reached +5% within 24h in 12 of 50 (24.0) and drew down 10%+ in 6 of 50 (12.0). Maximum favorable (MFE) and maximum adverse (MAE) excursions, both computed forward.

Outcome distribution

WHAT FOLLOWED - ALL 53 MATCHES, FROM THE PER-SCAN SUMMARY

0 OF 53 (0.0%) REACHED ≥ +5% WITHIN 1H

METRIC MFE_1H · CHIPS RE-READ THE SUMMARY, NEVER RE-QUERY

🔒 COMPUTED FORWARD, NEVER A FILTER · DENOMINATOR 53 = MATCHES WITH A COMPLETE 1H HORIZON

OCCURRENCES PER DAY · UTC · SUM 53 - ALL 53, NOT THE PAGE

About 1.7 a day, on 26 of 31 days: spread through the record rather than one event.

FWD_RET_30M DISTRIBUTION · 53 PRESENT · 0 ABSENT

Forward 30-minute returns across 53 matches: close to an even split, which is what a coin flip looks like.

Versus baseline

Historically, when any eligible 1000BONKUSDT minute in the window (baseline) held (37,981 occurrences in the scanned window, 36,669 with a computable 24h horizon), the market reached +5% within 24h in 9,540 of 36,669 (26.0) and drew down 10%+ in 3,223 of 36,669 (8.8). Maximum favorable (MFE) and maximum adverse (MAE) excursions, both computed forward.

The full record

The same setup counted over every recorded day on 1000BONKUSDT (2026-05-15 to 2026-07-31), growing daily.

Historically, when Swept the lows and reclaimed (1h) on 1000BONKUSDT over the full record held (88 occurrences in the scanned window, 85 with a computable 24h horizon), the market reached +5% within 24h in 19 of 85 (22.4) and drew down 10%+ in 6 of 85 (7.1). Maximum favorable (MFE) and maximum adverse (MAE) excursions, both computed forward.

WHAT FOLLOWED - ALL 88 MATCHES, FROM THE PER-SCAN SUMMARY

0 OF 88 (0.0%) REACHED ≥ +5% WITHIN 1H

METRIC MFE_1H · CHIPS RE-READ THE SUMMARY, NEVER RE-QUERY

🔒 COMPUTED FORWARD, NEVER A FILTER · DENOMINATOR 88 = MATCHES WITH A COMPLETE 1H HORIZON

OCCURRENCES PER DAY · UTC · SUM 88 - ALL 88, NOT THE PAGE

About 1.1 a day, on 44 of 78 days: spread through the record rather than one event.

FWD_RET_30M DISTRIBUTION · 88 PRESENT · 0 ABSENT

Forward 30-minute returns across 88 matches: close to an even split, which is what a coin flip looks like.

Reproducibility key (q#3c1df5e3)

grammar: research_query.v2
normalization: archive_normalization.v1
feature library: feature_defs.v1
dataset revision: 52a43a418a97fbe3a324f7c372fa4d53967163acaa0ed33c56b78ddd897331a4
query hash: 3c1df5e3c3872ab9895ad8c083db96ff707408876ea5a5625dfc863115d44290
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.

Re-run this over the API or MCP

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",
        "1000bonkusdt"
      ],
      [
        "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","1000bonkusdt"],["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 1000BONKUSDT right now: the 1000BONKUSDT research page