ONGUSDT · historical base rate

Swept the lows and reclaimed (1h) on ONGUSDT

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 ONGUSDT when it held

Historically, when Swept the lows and reclaimed (1h) on ONGUSDT held (41 occurrences in the scanned window, 35 with a computable 24h horizon), the market reached +5% within 24h in 8 of 35 (22.9) and drew down 10%+ in 0 of 35 (0.0). Maximum favorable (MFE) and maximum adverse (MAE) excursions, both computed forward.

Outcome distribution

WHAT FOLLOWED · ALL 41 MATCHES

0 of 36 (0.0%) reached +5% or more within 1 hour

Pick a move size and a window: how often did a move at least that big follow?

🔒 Measured after every match, never by keeping winners. 36 of the matches have a complete 1 hour forward; the other 5 are too recent to know.

What are MFE and MAE?

When they happened - one bar per UTC day, all 41 matches

About 1.3 a day, on 20 of 31 days: spread through the record rather than one event.

Where the next 30 minutes landed - 32 measured, 9 too recent

Forward 30-minute returns across 32 matches: close to an even split, which is what a coin flip looks like.

How to read a distribution

Upside reached · 24hThe most price moved up within 24h of each occurrence: a high-water mark, never a close. 35 with a complete 24h.

Drawdown · 24hThe worst price moved against within 24h of each occurrence: the deepest point, never the close. 35 with a complete 24h.

Versus baseline

Historically, when any eligible ONGUSDT minute in the window (baseline) held (39,181 occurrences in the scanned window, 35,881 with a computable 24h horizon), the market reached +5% within 24h in 7,395 of 35,881 (20.6) and drew down 10%+ in 849 of 35,881 (2.4). Maximum favorable (MFE) and maximum adverse (MAE) excursions, both computed forward.

Check our work: the key that re-runs this exact count (q#96b02f4d)

grammar: research_query.v2
normalization: archive_normalization.v1
feature library: feature_defs.v1
dataset revision: 956ec03337fb1bfb83eb6ea9a43c229114362335d44da784400212b87e29fd0e
query hash: 96b02f4dc731b1a20cde94a0ff0229303d5a352c8e564d68f3b7b710a8ee7161
scanned window: 2026-07-22T00:00:00.000Z to 2026-08-21T00:00:00.000Z (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 yourself, over the API or from an AI agent

This is the exact search definition behind the receipt. 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",
        "ongusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-07-22T00:00:00.000Z",
          "2026-08-21T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","ongusdt"],["times.anchor_time","between",["2026-07-22T00:00:00.000Z","2026-08-21T00:00:00.000Z"]]]},"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 ONGUSDT right now: the ONGUSDT research page