BICOUSDT · recorded history

Swept the lows and reclaimed (1h) on BICOUSDT

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
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What happened in the next 24 hours?

Reaching +5% was less common than without it; falling to −10% was about as common as without it.

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: 19.0% · 8 of 42 minutes
Other minutes: 41.0% · 15,255 of 37,242 minutes

Price touched −10% or lower

When this held: 23.8% · 10 of 42 minutes
Other minutes: 26.8% · 9,975 of 37,242 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 42 of 46 matches with a full 24 hours after them. The 4 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 1.5 a day, on 22 of 31 days: spread through the record rather than one event.

Over the full record

Every recorded day on BICOUSDT, 2026-05-15 to 2026-08-14: reached +5% in 34 of 98 (34.7%); fell to −10% in 16 of 98 (16.3%), 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	44	44	42
Too recent	2	2	4
+1% or more	19 (43.2%)	27 (61.4%)	39 (92.9%)
+2% or more	7 (15.9%)	14 (31.8%)	26 (61.9%)
+5% or more	5 (11.4%)	8 (18.2%)	8 (19.0%)
+10% or more	4 (9.1%)	4 (9.1%)	7 (16.7%)
+15% or more	3 (6.8%)	4 (9.1%)	7 (16.7%)
+20% or more	2 (4.5%)	3 (6.8%)	5 (11.9%)
−1% or lower	14 (31.8%)	28 (63.6%)	37 (88.1%)
−2% or lower	8 (18.2%)	14 (31.8%)	29 (69.0%)
−5% or lower	1 (2.3%)	5 (11.4%)	16 (38.1%)
−10% or lower	0 (0.0%)	2 (4.5%)	10 (23.8%)
−15% or lower	0 (0.0%)	1 (2.3%)	4 (9.5%)
−20% or lower	0 (0.0%)	0 (0.0%)	1 (2.4%)

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	99	99	98
Too recent	2	2	3
+1% or more	45 (45.5%)	70 (70.7%)	94 (95.9%)
+2% or more	21 (21.2%)	43 (43.4%)	79 (80.6%)
+5% or more	9 (9.1%)	13 (13.1%)	34 (34.7%)
+10% or more	5 (5.1%)	5 (5.1%)	13 (13.3%)
+15% or more	3 (3.0%)	4 (4.0%)	9 (9.2%)
+20% or more	2 (2.0%)	3 (3.0%)	6 (6.1%)
−1% or lower	32 (32.3%)	58 (58.6%)	84 (85.7%)
−2% or lower	10 (10.1%)	27 (27.3%)	67 (68.4%)
−5% or lower	1 (1.0%)	6 (6.1%)	32 (32.7%)
−10% or lower	0 (0.0%)	3 (3.0%)	16 (16.3%)
−15% or lower	0 (0.0%)	1 (1.0%)	8 (8.2%)
−20% or lower	0 (0.0%)	0 (0.0%)	5 (5.1%)

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. 42 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 42 with a complete 24 hours.

Price 30 minutes laterForward 30-minute returns across 43 matches: 58% of them finished up. 3 too recent.

How to read a distribution

Matches per UTC day

17 Jul1 match
18 Jul1 match
19 Jul4 matches
20 Jul0 matches
21 Jul1 match
22 Jul1 match
23 Jul4 matches
24 Jul2 matches
25 Jul3 matches
26 Jul3 matches
27 Jul2 matches
28 Jul4 matches
29 Jul4 matches
30 Jul0 matches
31 Jul2 matches
1 Aug0 matches
2 Aug0 matches
3 Aug0 matches
4 Aug1 match
5 Aug0 matches
6 Aug0 matches
7 Aug1 match
8 Aug1 match
9 Aug2 matches
10 Aug1 match
11 Aug1 match
12 Aug1 match
13 Aug3 matches
14 Aug3 matches
15 Aug0 matches
16 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 BICOUSDT, 2026-07-17 00:00 to 2026-08-16 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#3d59eefc)

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: 631a4dbb9ff7daafc5ec6a7a2340ae68feec8c6140796410e4d8ef0a81fd2cc1
query hash: 3d59eefc2a36870bf2682f2b08e4798f171cf770697dd3e68b96a80cbe237cb0
scanned window: 2026-07-17T00:00:00.000Z to 2026-08-16T00:00:00.000Z (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",
        "bicousdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-07-17T00:00:00.000Z",
          "2026-08-16T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","bicousdt"],["times.anchor_time","between",["2026-07-17T00:00:00.000Z","2026-08-16T00:00:00.000Z"]]]},"sort":["times.anchor_time","desc"],"page":{"limit":50,"cursor":null}}'

Swept the lows and reclaimed (1h) on BICOUSDT

Read it in context

Read BICOUSDT itself

Its recorded moves

Test it on BICOUSDT, then plan it

What happened in the next 24 hours?

Price touched +5% or higher

Price touched −10% or lower

Over the full record