HFTUSDT · recorded history

Swept the lows and reclaimed (1h) on HFTUSDT

The last completed one-hour candle swept prior lows and closed back above them: the "bullish" sweep and reclaim formation on the hourly.

Read it in context

Read HFTUSDT itself
Inspect HFTUSDT now or at a past minute
Its recorded moves
HFTUSDT market events and replays
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A tested result leads to Plan a trade, which measures what trading it would have paid after costs.
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What happened in the next 24 hours?

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: 8 of 27, too few for a rate
Other minutes: 36.2% · 13,579 of 37,482 minutes

Price touched −10% or lower

When this held: 1 of 27, too few for a rate
Other minutes: 5.9% · 2,200 of 37,482 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

All 27 matches have a full 24 hours after them.

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 0.9 a day, on 16 of 31 days: spread through the record rather than one event.

Over the full record

Every recorded day on HFTUSDT, 2026-05-15 to 2026-08-08: reached +5% in 20 of 77 (26.0%); fell to −10% in 3 of 77 (3.9%), 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	27	27	27
Too recent	0	0	0
+1% or more	12	20	27
+2% or more	0	10	24
+5% or more	0	1	8
+10% or more	0	0	2
+15% or more	0	0	1
−1% or lower	5	14	21
−2% or lower	1	5	16
−5% or lower	0	1	6
−10% or lower	0	1	1
−15% or lower	0	1	1
−20% or lower	0	1	1

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	77	77	77
Too recent	1	1	1
+1% or more	25 (32.5%)	49 (63.6%)	66 (85.7%)
+2% or more	2 (2.6%)	27 (35.1%)	53 (68.8%)
+5% or more	1 (1.3%)	4 (5.2%)	20 (26.0%)
+10% or more	0 (0.0%)	0 (0.0%)	10 (13.0%)
+15% or more	0 (0.0%)	0 (0.0%)	4 (5.2%)
+20% or more	0 (0.0%)	0 (0.0%)	2 (2.6%)
−1% or lower	30 (39.0%)	49 (63.6%)	68 (88.3%)
−2% or lower	4 (5.2%)	18 (23.4%)	55 (71.4%)
−5% or lower	0 (0.0%)	2 (2.6%)	23 (29.9%)
−10% or lower	0 (0.0%)	1 (1.3%)	3 (3.9%)
−15% or lower	0 (0.0%)	1 (1.3%)	1 (1.3%)
−20% or lower	0 (0.0%)	1 (1.3%)	1 (1.3%)

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. 27 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 27 with a complete 24 hours.

Price 30 minutes laterForward 30-minute returns across 26 matches: 73% of them finished up. 1 too recent.

How to read a distribution

Matches per UTC day

9 Jul4 matches
10 Jul0 matches
11 Jul1 match
12 Jul2 matches
13 Jul1 match
14 Jul0 matches
15 Jul0 matches
16 Jul0 matches
17 Jul2 matches
18 Jul1 match
19 Jul1 match
20 Jul1 match
21 Jul1 match
22 Jul1 match
23 Jul0 matches
24 Jul0 matches
25 Jul0 matches
26 Jul1 match
27 Jul1 match
28 Jul0 matches
29 Jul5 matches
30 Jul2 matches
31 Jul2 matches
1 Aug0 matches
2 Aug0 matches
3 Aug1 match
4 Aug0 matches
5 Aug0 matches
6 Aug0 matches
7 Aug0 matches
8 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 HFTUSDT, 2026-07-09 00:00 to 2026-08-08 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#1a579065)

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: 28acee8d0f123e535c8ba6325acd308c76bd0d511704f22e105e4b7842b6cb92
query hash: 1a5790652ccf307a50bd699851a0c44be683cca2adc3020caef091f8bdf6a9c7
scanned window: 2026-07-09T00:00:00.000Z to 2026-08-08T00:00:00.000Z (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",
        "hftusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-07-09T00:00:00.000Z",
          "2026-08-08T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","hftusdt"],["times.anchor_time","between",["2026-07-09T00:00:00.000Z","2026-08-08T00:00:00.000Z"]]]},"sort":["times.anchor_time","desc"],"page":{"limit":50,"cursor":null}}'

Swept the lows and reclaimed (1h) on HFTUSDT

Read it in context

Read HFTUSDT itself

Its recorded moves

Test it on HFTUSDT, then plan it

What happened in the next 24 hours?

Price touched +5% or higher

Price touched −10% or lower

Over the full record