RIFUSDT · recorded history

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.

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Its recorded moves
RIFUSDT market events and replays
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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: 61.3% · 38 of 62 minutes
Other minutes: 58.6% · 20,864 of 35,576 minutes

Price touched −10% or lower

When this held: 41.9% · 26 of 62 minutes
Other minutes: 36.5% · 12,979 of 35,576 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 62 of 63 matches with a full 24 hours after them. The 1 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

About 2 a day, on 28 of 31 days: spread through the record rather than one event.

Over the full record

Every recorded day on RIFUSDT, 2026-05-15 to 2026-08-03: reached +5% in 61 of 101 (60.4%); fell to −10% in 39 of 101 (38.6%), within 24 hours.

Other windows and move sizes

Matches that reached each move within each window. Counts first; the measured row is what each rate is over.
Move	1 hour	4 hours	24 hours
Measured	63	63	62
Too recent	0	0	1
+1% or more	31 (49.2%)	51 (81.0%)	59 (95.2%)
+2% or more	16 (25.4%)	36 (57.1%)	56 (90.3%)
+5% or more	1 (1.6%)	17 (27.0%)	38 (61.3%)
+10% or more	0 (0.0%)	6 (9.5%)	23 (37.1%)
+15% or more	0 (0.0%)	3 (4.8%)	15 (24.2%)
+20% or more	0 (0.0%)	0 (0.0%)	11 (17.7%)
−1% or lower	43 (68.3%)	51 (81.0%)	58 (93.5%)
−2% or lower	23 (36.5%)	36 (57.1%)	52 (83.9%)
−5% or lower	9 (14.3%)	19 (30.2%)	43 (69.4%)
−10% or lower	3 (4.8%)	11 (17.5%)	26 (41.9%)
−15% or lower	1 (1.6%)	5 (7.9%)	18 (29.0%)
−20% or lower	1 (1.6%)	5 (7.9%)	14 (22.6%)

Each window counts only matches old enough for it, so a longer window can show fewer.

Full record: other windows and move sizes

Matches that reached each move within each window. Counts first; the measured row is what each rate is over.
Move	1 hour	4 hours	24 hours
Measured	102	102	101
Too recent	0	0	1
+1% or more	53 (52.0%)	78 (76.5%)	94 (93.1%)
+2% or more	24 (23.5%)	56 (54.9%)	86 (85.1%)
+5% or more	2 (2.0%)	26 (25.5%)	61 (60.4%)
+10% or more	0 (0.0%)	7 (6.9%)	35 (34.7%)
+15% or more	0 (0.0%)	3 (2.9%)	25 (24.8%)
+20% or more	0 (0.0%)	0 (0.0%)	18 (17.8%)
−1% or lower	72 (70.6%)	84 (82.4%)	96 (95.0%)
−2% or lower	40 (39.2%)	63 (61.8%)	88 (87.1%)
−5% or lower	11 (10.8%)	27 (26.5%)	68 (67.3%)
−10% or lower	4 (3.9%)	13 (12.7%)	39 (38.6%)
−15% or lower	1 (1.0%)	5 (4.9%)	26 (25.7%)
−20% or lower	1 (1.0%)	5 (4.9%)	17 (16.8%)

Each window counts only matches old enough for it, so a longer window can show fewer.

Distributions and daily counts

Upside reached · 24hThe most price moved up within 24 hours of each match: a high-water mark, never a close. 62 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 62 with a complete 24 hours.

Price 30 minutes laterForward 30-minute returns across 63 matches: 65% of them finished down. 0 too recent.

How to read a distribution

Matches per UTC day

4 Jul6 matches
5 Jul2 matches
6 Jul1 match
7 Jul1 match
8 Jul1 match
9 Jul1 match
10 Jul1 match
11 Jul3 matches
12 Jul1 match
13 Jul2 matches
14 Jul4 matches
15 Jul3 matches
16 Jul2 matches
17 Jul2 matches
18 Jul2 matches
19 Jul4 matches
20 Jul4 matches
21 Jul2 matches
22 Jul3 matches
23 Jul0 matches
24 Jul3 matches
25 Jul2 matches
26 Jul3 matches
27 Jul3 matches
28 Jul1 match
29 Jul1 match
30 Jul1 match
31 Jul3 matches
1 Aug1 match
2 Aug0 matches
3 Aug0 matches

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 41,761 eligible market-minutes (eligible_symbol_buckets) on RIFUSDT, 2026-07-04 00:00 to 2026-08-03 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#cdb00489)

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: a52c6390738e56734585b736b0a1c739bca72cac3f87cca21db6d03ebdd35d64
query hash: cdb00489850e88c62a23388bedd2aec5a0649502254246a850db3dd002664eb7
scanned window: 2026-07-04T00:00:00.000Z to 2026-08-03T00:00:00.000Z (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",
        "rifusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-07-04T00:00:00.000Z",
          "2026-08-03T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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",["2026-07-04T00:00:00.000Z","2026-08-03T00:00:00.000Z"]]]},"sort":["times.anchor_time","desc"],"page":{"limit":50,"cursor":null}}'

Swept the lows and reclaimed (1h) on RIFUSDT

Read it in context

Read RIFUSDT itself

Its recorded moves

Test it on RIFUSDT, then plan it

What happened in the next 24 hours?

Price touched +5% or higher

Price touched −10% or lower

Over the full record