MAGMAUSDT · recorded history

Swept the lows and reclaimed (1h) on MAGMAUSDT

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 MAGMAUSDT itself
Inspect MAGMAUSDT now or at a past minute
Its recorded moves
MAGMAUSDT market events and replays
Test it on MAGMAUSDT, then plan it
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?

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: 54.3% · 25 of 46 minutes
Other minutes: 68.1% · 26,098 of 38,319 minutes

Price touched −10% or lower

When this held: 28.3% · 13 of 46 minutes
Other minutes: 31.6% · 12,122 of 38,319 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 46 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 1.5 a day, on 20 of 31 days: spread through the record rather than one event.

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	46	46	46	43	37
Too recent	0	0	0	3	9
+0.1% or more	45 (97.8%)	45 (97.8%)	46 (100.0%)	43 (100.0%)	37 (100.0%)
+0.2% or more	41 (89.1%)	43 (93.5%)	45 (97.8%)	43 (100.0%)	37 (100.0%)
+0.5% or more	34 (73.9%)	39 (84.8%)	42 (91.3%)	40 (93.0%)	36 (97.3%)
+1% or more	26 (56.5%)	32 (69.6%)	39 (84.8%)	37 (86.0%)	35 (94.6%)
+2% or more	18 (39.1%)	26 (56.5%)	38 (82.6%)	36 (83.7%)	35 (94.6%)
+5% or more	7 (15.2%)	13 (28.3%)	25 (54.3%)	29 (67.4%)	35 (94.6%)
+10% or more	1 (2.2%)	5 (10.9%)	15 (32.6%)	21 (48.8%)	32 (86.5%)
+15% or more	0 (0.0%)	4 (8.7%)	10 (21.7%)	15 (34.9%)	31 (83.8%)
+20% or more	0 (0.0%)	0 (0.0%)	4 (8.7%)	10 (23.3%)	29 (78.4%)
+30% or more	0 (0.0%)	0 (0.0%)	2 (4.3%)	9 (20.9%)	28 (75.7%)
+50% or more	0 (0.0%)	0 (0.0%)	1 (2.2%)	7 (16.3%)	20 (54.1%)
+100% or more	0 (0.0%)	0 (0.0%)	0 (0.0%)	3 (7.0%)	14 (37.8%)
−0.1% or lower	44 (95.7%)	45 (97.8%)	46 (100.0%)	43 (100.0%)	37 (100.0%)
−0.2% or lower	41 (89.1%)	43 (93.5%)	46 (100.0%)	43 (100.0%)	37 (100.0%)
−0.5% or lower	33 (71.7%)	42 (91.3%)	46 (100.0%)	43 (100.0%)	37 (100.0%)
−1% or lower	25 (54.3%)	34 (73.9%)	44 (95.7%)	41 (95.3%)	36 (97.3%)
−2% or lower	14 (30.4%)	25 (54.3%)	40 (87.0%)	38 (88.4%)	34 (91.9%)
−5% or lower	3 (6.5%)	13 (28.3%)	28 (60.9%)	35 (81.4%)	32 (86.5%)
−10% or lower	1 (2.2%)	5 (10.9%)	13 (28.3%)	27 (62.8%)	27 (73.0%)
−15% or lower	1 (2.2%)	4 (8.7%)	10 (21.7%)	11 (25.6%)	21 (56.8%)
−20% or lower	0 (0.0%)	3 (6.5%)	7 (15.2%)	9 (20.9%)	11 (29.7%)
−30% or lower	0 (0.0%)	0 (0.0%)	5 (10.9%)	7 (16.3%)	6 (16.2%)
−50% or lower	0 (0.0%)	0 (0.0%)	0 (0.0%)	0 (0.0%)	4 (10.8%)

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. 46 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 46 with a complete 24 hours.

Price 30 minutes laterForward 30-minute returns across 45 matches: close to an even split, which is what a coin flip looks like. 1 too recent.

How to read a distribution

Matches per UTC day

9 Aug4 matches
10 Aug2 matches
11 Aug0 matches
12 Aug2 matches
13 Aug4 matches
14 Aug3 matches
15 Aug4 matches
16 Aug3 matches
17 Aug1 match
18 Aug0 matches
19 Aug1 match
20 Aug0 matches
21 Aug0 matches
22 Aug1 match
23 Aug2 matches
24 Aug2 matches
25 Aug2 matches
26 Aug0 matches
27 Aug0 matches
28 Aug0 matches
29 Aug2 matches
30 Aug3 matches
31 Aug1 match
1 Sep0 matches
2 Sep0 matches
3 Sep3 matches
4 Sep3 matches
5 Sep2 matches
6 Sep1 match
7 Sep0 matches
8 Sep0 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 43,201 eligible market-minutes (eligible_symbol_buckets) on MAGMAUSDT, 2026-08-09 00:00 to 2026-09-08 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#af62caf0)

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: cbaead34c4193bce6fcd165b579f45236bd1961521f84932d458473d0a2bae69
query hash: af62caf01e4a41eeccd68147ba54f126bae32900fd36955c44f6d8fa48ecce1f
scanned window: 2026-08-09T00:00:00.000Z to 2026-09-08T00:00:00.000Z (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",
        "magmausdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-08-09T00:00:00.000Z",
          "2026-09-08T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","magmausdt"],["times.anchor_time","between",["2026-08-09T00:00:00.000Z","2026-09-08T00:00:00.000Z"]]]},"sort":["times.anchor_time","desc"],"page":{"limit":50,"cursor":null}}'

Swept the lows and reclaimed (1h) on MAGMAUSDT

Read it in context

Read MAGMAUSDT itself

Its recorded moves

Test it on MAGMAUSDT, then plan it

What happened in the next 24 hours?

Price touched +5% or higher

Price touched −10% or lower