1000BONKUSDT · recorded history

Swept the lows and reclaimed (1h) on 1000BONKUSDT

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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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: 23.7% · 9 of 38 minutes
Other minutes: 22.6% · 8,427 of 37,251 minutes

Price touched −10% or lower

When this held: 2.6% · 1 of 38 minutes
Other minutes: 8.2% · 3,053 of 37,251 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 38 of 40 matches with a full 24 hours after them. The 2 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 1.3 a day, on 22 of 31 days: spread through the record rather than one event.

Over the full record

Every recorded day on 1000BONKUSDT, 2026-09-01 to 2026-10-01: reached +5% in 17 of 45 (37.8%); fell to −10% in 0 of 45 (0.0%), 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	72 hours	7 days
Measured	40	40	38	35	29
Too recent	0	0	2	5	11
+0.1% or more	36 (90.0%)	38 (95.0%)	38 (100.0%)	35 (100.0%)	29
+0.2% or more	33 (82.5%)	35 (87.5%)	35 (92.1%)	32 (91.4%)	26
+0.5% or more	19 (47.5%)	27 (67.5%)	34 (89.5%)	31 (88.6%)	26
+1% or more	6 (15.0%)	20 (50.0%)	34 (89.5%)	31 (88.6%)	26
+2% or more	3 (7.5%)	7 (17.5%)	21 (55.3%)	24 (68.6%)	23
+5% or more	0 (0.0%)	1 (2.5%)	9 (23.7%)	17 (48.6%)	17
+10% or more	0 (0.0%)	0 (0.0%)	0 (0.0%)	3 (8.6%)	11
+15% or more	0 (0.0%)	0 (0.0%)	0 (0.0%)	0 (0.0%)	2
−0.1% or lower	36 (90.0%)	39 (97.5%)	38 (100.0%)	35 (100.0%)	29
−0.2% or lower	30 (75.0%)	37 (92.5%)	38 (100.0%)	35 (100.0%)	29
−0.5% or lower	16 (40.0%)	28 (70.0%)	34 (89.5%)	34 (97.1%)	29
−1% or lower	9 (22.5%)	21 (52.5%)	31 (81.6%)	32 (91.4%)	28
−2% or lower	2 (5.0%)	8 (20.0%)	20 (52.6%)	29 (82.9%)	27
−5% or lower	0 (0.0%)	2 (5.0%)	8 (21.1%)	23 (65.7%)	24
−10% or lower	0 (0.0%)	0 (0.0%)	1 (2.6%)	11 (31.4%)	15
−15% or lower	0 (0.0%)	0 (0.0%)	0 (0.0%)	2 (5.7%)	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	72 hours	7 days
Measured	47	46	45	41	38
Too recent	0	1	2	6	9
+0.1% or more	44 (93.6%)	46 (100.0%)	45 (100.0%)	41 (100.0%)	38 (100.0%)
+0.2% or more	38 (80.9%)	42 (91.3%)	44 (97.8%)	41 (100.0%)	38 (100.0%)
+0.5% or more	32 (68.1%)	34 (73.9%)	38 (84.4%)	40 (97.6%)	37 (97.4%)
+1% or more	17 (36.2%)	26 (56.5%)	32 (71.1%)	40 (97.6%)	37 (97.4%)
+2% or more	7 (14.9%)	17 (37.0%)	27 (60.0%)	35 (85.4%)	35 (92.1%)
+5% or more	0 (0.0%)	2 (4.3%)	17 (37.8%)	26 (63.4%)	29 (76.3%)
+10% or more	0 (0.0%)	0 (0.0%)	9 (20.0%)	18 (43.9%)	28 (73.7%)
+15% or more	0 (0.0%)	0 (0.0%)	1 (2.2%)	13 (31.7%)	22 (57.9%)
+20% or more	0 (0.0%)	0 (0.0%)	0 (0.0%)	7 (17.1%)	19 (50.0%)
+30% or more	0 (0.0%)	0 (0.0%)	0 (0.0%)	2 (4.9%)	12 (31.6%)
+50% or more	0 (0.0%)	0 (0.0%)	0 (0.0%)	0 (0.0%)	4 (10.5%)
−0.1% or lower	39 (83.0%)	42 (91.3%)	45 (100.0%)	41 (100.0%)	38 (100.0%)
−0.2% or lower	35 (74.5%)	41 (89.1%)	44 (97.8%)	40 (97.6%)	37 (97.4%)
−0.5% or lower	26 (55.3%)	36 (78.3%)	44 (97.8%)	40 (97.6%)	37 (97.4%)
−1% or lower	15 (31.9%)	28 (60.9%)	38 (84.4%)	37 (90.2%)	36 (94.7%)
−2% or lower	5 (10.6%)	11 (23.9%)	32 (71.1%)	33 (80.5%)	34 (89.5%)
−5% or lower	0 (0.0%)	1 (2.2%)	16 (35.6%)	26 (63.4%)	26 (68.4%)
−10% or lower	0 (0.0%)	0 (0.0%)	0 (0.0%)	6 (14.6%)	16 (42.1%)
−15% or lower	0 (0.0%)	0 (0.0%)	0 (0.0%)	2 (4.9%)	10 (26.3%)

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. 38 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 38 with a complete 24 hours.

Price 30 minutes laterForward 30-minute returns across 40 matches: 60% of them finished up. 0 too recent.

How to read a distribution

Matches per UTC day

4 Oct1 match
5 Oct1 match
6 Oct1 match
7 Oct3 matches
8 Oct2 matches
9 Oct0 matches
10 Oct0 matches
11 Oct2 matches
12 Oct1 match
13 Oct0 matches
14 Oct2 matches
15 Oct2 matches
16 Oct3 matches
17 Oct2 matches
18 Oct1 match
19 Oct2 matches
20 Oct0 matches
21 Oct0 matches
22 Oct3 matches
23 Oct0 matches
24 Oct2 matches
25 Oct1 match
26 Oct2 matches
27 Oct2 matches
28 Oct1 match
29 Oct1 match
30 Oct0 matches
31 Oct3 matches
1 Nov2 matches
2 Nov0 matches
3 Nov0 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 41,733 eligible market-minutes (eligible_symbol_buckets) on 1000BONKUSDT, 2026-10-04 00:00 to 2026-11-03 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#c771ebaf)

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: de0f2ef50baf530a363ce0c08cc21c068b14c0b5cf13829e8ff800ee4b3f829f
query hash: c771ebaf1dadb081c9eadb3deacd477f5ec55b5cafa6f478904c0b970cf7be12
scanned window: 2026-10-04T00:00:00.000Z to 2026-11-03T00:00:00.000Z (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",
        "1000bonkusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-10-04T00:00:00.000Z",
          "2026-11-03T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","1000bonkusdt"],["times.anchor_time","between",["2026-10-04T00:00:00.000Z","2026-11-03T00:00:00.000Z"]]]},"sort":["times.anchor_time","desc"],"page":{"limit":50,"cursor":null}}'