MUBARAKUSDT · recorded history

Swept the lows and reclaimed (1h) on MUBARAKUSDT

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

  1. Read MUBARAKUSDT itself

  2. Its recorded moves

  3. Test it on MUBARAKUSDT, then plan it

    A tested result leads to Plan a trade, which measures what trading it would have paid after costs.

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
46.8% · 22 of 47 minutes
Other minutes
51.1% · 19,672 of 38,460 minutes

Price touched −10% or lower

When this held
14.9% · 7 of 47 minutes
Other minutes
16.3% · 6,271 of 38,460 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 47 of 49 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
Matches per UTC day, 2026-08-30 to 2026-09-29

About 1.6 a day, on 24 of 31 days: spread through the record rather than one event.

Over the full record

Every recorded day on MUBARAKUSDT, 2026-08-29 to 2026-09-28: reached +5% in 21 of 44 (47.7%); fell to −10% in 6 of 44 (13.6%), 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.
Move1 hour4 hours24 hours72 hours7 days
Measured4848474334
Too recent112615
+0.1% or more47 (97.9%)48 (100.0%)47 (100.0%)43 (100.0%)34 (100.0%)
+0.2% or more45 (93.8%)46 (95.8%)47 (100.0%)43 (100.0%)34 (100.0%)
+0.5% or more37 (77.1%)43 (89.6%)47 (100.0%)43 (100.0%)34 (100.0%)
+1% or more25 (52.1%)39 (81.3%)47 (100.0%)43 (100.0%)34 (100.0%)
+2% or more8 (16.7%)27 (56.3%)42 (89.4%)39 (90.7%)34 (100.0%)
+5% or more1 (2.1%)7 (14.6%)22 (46.8%)28 (65.1%)34 (100.0%)
+10% or more0 (0.0%)2 (4.2%)14 (29.8%)22 (51.2%)32 (94.1%)
+15% or more0 (0.0%)1 (2.1%)12 (25.5%)22 (51.2%)26 (76.5%)
+20% or more0 (0.0%)0 (0.0%)8 (17.0%)18 (41.9%)20 (58.8%)
+30% or more0 (0.0%)0 (0.0%)5 (10.6%)12 (27.9%)14 (41.2%)
+50% or more0 (0.0%)0 (0.0%)0 (0.0%)7 (16.3%)14 (41.2%)
+100% or more0 (0.0%)0 (0.0%)0 (0.0%)2 (4.7%)7 (20.6%)
+200% or more0 (0.0%)0 (0.0%)0 (0.0%)0 (0.0%)2 (5.9%)
−0.1% or lower41 (85.4%)43 (89.6%)46 (97.9%)42 (97.7%)34 (100.0%)
−0.2% or lower40 (83.3%)42 (87.5%)46 (97.9%)42 (97.7%)34 (100.0%)
−0.5% or lower31 (64.6%)40 (83.3%)45 (95.7%)42 (97.7%)34 (100.0%)
−1% or lower20 (41.7%)34 (70.8%)43 (91.5%)40 (93.0%)32 (94.1%)
−2% or lower10 (20.8%)21 (43.8%)35 (74.5%)35 (81.4%)27 (79.4%)
−5% or lower1 (2.1%)2 (4.2%)19 (40.4%)21 (48.8%)18 (52.9%)
−10% or lower1 (2.1%)1 (2.1%)7 (14.9%)14 (32.6%)11 (32.4%)
−15% or lower0 (0.0%)1 (2.1%)1 (2.1%)3 (7.0%)3 (8.8%)
−20% or lower0 (0.0%)0 (0.0%)1 (2.1%)2 (4.7%)0 (0.0%)
−30% or lower0 (0.0%)0 (0.0%)0 (0.0%)1 (2.3%)0 (0.0%)

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.
Move1 hour4 hours24 hours72 hours7 days
Measured4747444034
Too recent003713
+0.1% or more46 (97.9%)47 (100.0%)44 (100.0%)40 (100.0%)34 (100.0%)
+0.2% or more44 (93.6%)45 (95.7%)44 (100.0%)40 (100.0%)34 (100.0%)
+0.5% or more36 (76.6%)42 (89.4%)44 (100.0%)40 (100.0%)34 (100.0%)
+1% or more24 (51.1%)38 (80.9%)44 (100.0%)40 (100.0%)34 (100.0%)
+2% or more8 (17.0%)26 (55.3%)40 (90.9%)36 (90.0%)34 (100.0%)
+5% or more1 (2.1%)7 (14.9%)21 (47.7%)25 (62.5%)34 (100.0%)
+10% or more0 (0.0%)2 (4.3%)13 (29.5%)19 (47.5%)32 (94.1%)
+15% or more0 (0.0%)1 (2.1%)11 (25.0%)19 (47.5%)26 (76.5%)
+20% or more0 (0.0%)0 (0.0%)7 (15.9%)15 (37.5%)20 (58.8%)
+30% or more0 (0.0%)0 (0.0%)5 (11.4%)9 (22.5%)14 (41.2%)
+50% or more0 (0.0%)0 (0.0%)0 (0.0%)5 (12.5%)14 (41.2%)
+100% or more0 (0.0%)0 (0.0%)0 (0.0%)2 (5.0%)7 (20.6%)
+200% or more0 (0.0%)0 (0.0%)0 (0.0%)0 (0.0%)2 (5.9%)
−0.1% or lower40 (85.1%)42 (89.4%)43 (97.7%)39 (97.5%)34 (100.0%)
−0.2% or lower39 (83.0%)41 (87.2%)43 (97.7%)39 (97.5%)34 (100.0%)
−0.5% or lower30 (63.8%)39 (83.0%)42 (95.5%)39 (97.5%)34 (100.0%)
−1% or lower19 (40.4%)33 (70.2%)40 (90.9%)37 (92.5%)32 (94.1%)
−2% or lower9 (19.1%)20 (42.6%)32 (72.7%)32 (80.0%)27 (79.4%)
−5% or lower1 (2.1%)2 (4.3%)16 (36.4%)20 (50.0%)18 (52.9%)
−10% or lower1 (2.1%)1 (2.1%)6 (13.6%)14 (35.0%)11 (32.4%)
−15% or lower0 (0.0%)1 (2.1%)1 (2.3%)3 (7.5%)3 (8.8%)
−20% or lower0 (0.0%)0 (0.0%)1 (2.3%)2 (5.0%)0 (0.0%)
−30% or lower0 (0.0%)0 (0.0%)0 (0.0%)1 (2.5%)0 (0.0%)

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

Distributions and daily counts
Upside reached · 24hUpside reached (MFE, 24h)The most price moved up within 24 hours of each match: a high-water mark, never a close. 47 with a complete 24 hours.
Drawdown · 24hDrawdown (MAE, 24h)The worst price moved against within 24 hours of each match: the deepest point, never the close. 47 with a complete 24 hours.
Price 30 minutes laterForward 30-minute returnForward 30-minute returns across 48 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

  • 30 Aug5 matches
  • 31 Aug0 matches
  • 1 Sep1 match
  • 2 Sep0 matches
  • 3 Sep0 matches
  • 4 Sep1 match
  • 5 Sep0 matches
  • 6 Sep2 matches
  • 7 Sep4 matches
  • 8 Sep3 matches
  • 9 Sep1 match
  • 10 Sep1 match
  • 11 Sep3 matches
  • 12 Sep3 matches
  • 13 Sep2 matches
  • 14 Sep1 match
  • 15 Sep1 match
  • 16 Sep1 match
  • 17 Sep1 match
  • 18 Sep0 matches
  • 19 Sep3 matches
  • 20 Sep1 match
  • 21 Sep0 matches
  • 22 Sep0 matches
  • 23 Sep2 matches
  • 24 Sep3 matches
  • 25 Sep4 matches
  • 26 Sep1 match
  • 27 Sep3 matches
  • 28 Sep1 match
  • 29 Sep1 match
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 MUBARAKUSDT, 2026-08-30 00:00 to 2026-09-29 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#4d26e00e)

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
e541f738eeadec81d329129048945bb64d63890194f203b873d408554b616098
query hash
4d26e00ed7cdee0f6457d6a6de237c68f1f84c510316449b2158c1923fcd0a4f
scanned window
2026-08-30T00:00:00.000Z to 2026-09-29T00:00:00.000Z (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",
        "mubarakusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-08-30T00:00:00.000Z",
          "2026-09-29T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","mubarakusdt"],["times.anchor_time","between",["2026-08-30T00:00:00.000Z","2026-09-29T00:00:00.000Z"]]]},"sort":["times.anchor_time","desc"],"page":{"limit":50,"cursor":null}}'

Past examples from the record, not a guarantee or a prediction. Nothing here is trading advice.