RIFUSDT · historical base rate

Swept the lows and reclaimed (1h) on RIFUSDT

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 RIFUSDT when it held

Historically, when Swept the lows and reclaimed (1h) on RIFUSDT held (60 occurrences in the scanned window, 59 with a computable 24h horizon), the market reached +5% within 24h in 38 of 59 (64.4) and drew down 10%+ in 25 of 59 (42.4). Maximum favorable (MFE) and maximum adverse (MAE) excursions, both computed forward.

Outcome distribution

WHAT FOLLOWED - ALL 60 MATCHES, FROM THE PER-SCAN SUMMARY

1 OF 60 (1.7%) REACHED ≥ +5% WITHIN 1H

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

🔒 COMPUTED FORWARD, NEVER A FILTER · DENOMINATOR 60 = MATCHES WITH A COMPLETE 1H HORIZON

OCCURRENCES PER DAY · UTC · SUM 60 - ALL 60, NOT THE PAGE

About 1.9 a day, on 27 of 31 days: spread through the record rather than one event.

FWD_RET_30M DISTRIBUTION · 60 PRESENT · 0 ABSENT

Forward 30-minute returns across 60 matches: 63% of them finished down.

Upside reached · 24hThe most price moved up within 24h of each occurrence: a high-water mark, never a close. 59 with a complete 24h.

Drawdown · 24hThe worst price moved against within 24h of each occurrence: the deepest point, never the close. 59 with a complete 24h.

Versus baseline

Historically, when any eligible RIFUSDT minute in the window (baseline) held (37,261 occurrences in the scanned window, 35,833 with a computable 24h horizon), the market reached +5% within 24h in 21,547 of 35,833 (60.1) and drew down 10%+ in 13,868 of 35,833 (38.7). Maximum favorable (MFE) and maximum adverse (MAE) excursions, both computed forward.

The full record

The same setup counted over every recorded day on RIFUSDT (2026-05-15 to 2026-08-01), growing daily.

Historically, when Swept the lows and reclaimed (1h) on RIFUSDT over the full record held (98 occurrences in the scanned window, 97 with a computable 24h horizon), the market reached +5% within 24h in 60 of 97 (61.9) and drew down 10%+ in 38 of 97 (39.2). Maximum favorable (MFE) and maximum adverse (MAE) excursions, both computed forward.

WHAT FOLLOWED - ALL 98 MATCHES, FROM THE PER-SCAN SUMMARY

2 OF 98 (2.0%) REACHED ≥ +5% WITHIN 1H

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

🔒 COMPUTED FORWARD, NEVER A FILTER · DENOMINATOR 98 = MATCHES WITH A COMPLETE 1H HORIZON

OCCURRENCES PER DAY · UTC · SUM 98 - ALL 98, NOT THE PAGE

About 1.2 a day, on 45 of 79 days: spread through the record rather than one event.

FWD_RET_30M DISTRIBUTION · 98 PRESENT · 0 ABSENT

Forward 30-minute returns across 98 matches: 62% of them finished down.

Reproducibility key (q#fadd62fa)

grammar: research_query.v2
normalization: archive_normalization.v1
feature library: feature_defs.v1
dataset revision: ce3b6253b51706f7a4c0e4a553e0dd67fcf76395dd1a8717eccda70dad520d60
query hash: fadd62fa0440d4e39af2b47903409655aaf5c1bd6570942797aa78efb8c4faeb
scanned window: 2026-07-02T00:00:00.000Z to 2026-08-01T00:00:00.000Z (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",
        "rifusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-07-02T00:00:00.000Z",
          "2026-08-01T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","rifusdt"],["times.anchor_time","between",["2026-07-02T00:00:00.000Z","2026-08-01T00:00:00.000Z"]]]},"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 RIFUSDT right now: the RIFUSDT research page