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< One-sided tape: buyers
MUBARAKUSDT · recorded history

One-sided tape: buyers on MUBARAKUSDT

Taker buy ratio over the last 15 minutes has run at 0.62 or more: a persistently buyer-heavy tape.

Read it in context

  1. Read MUBARAKUSDT itself

    Inspect MUBARAKUSDT now or at a past minute

  2. Its recorded moves

    MUBARAKUSDT market events and replays

  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.

    Edit this test in Workbench

What happened in the next 24 hours?

Both moves were less common than on minutes 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
40.8% · 117 of 287 minutes
Other minutes
51.9% · 19,883 of 38,341 minutes

Price touched −10% or lower

When this held
7.3% · 21 of 287 minutes
Other minutes
17.0% · 6,527 of 38,341 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 287 of 290 matches with a full 24 hours after them. The 3 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 9.4 a day, on 27 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 117 of 298 (39.3%); fell to −10% in 21 of 298 (7.0%), 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.
Move1 hour4 hours24 hours72 hours7 days
Measured290289287282276
Too recent013814
+0.1% or more261 (90.0%)273 (94.5%)282 (98.3%)280 (99.3%)276 (100.0%)
+0.2% or more240 (82.8%)267 (92.4%)281 (97.9%)279 (98.9%)276 (100.0%)
+0.5% or more176 (60.7%)240 (83.0%)273 (95.1%)276 (97.9%)276 (100.0%)
+1% or more101 (34.8%)189 (65.4%)256 (89.2%)270 (95.7%)276 (100.0%)
+2% or more36 (12.4%)113 (39.1%)206 (71.8%)248 (87.9%)276 (100.0%)
+5% or more7 (2.4%)32 (11.1%)117 (40.8%)208 (73.8%)271 (98.2%)
+10% or more0 (0.0%)10 (3.5%)73 (25.4%)191 (67.7%)255 (92.4%)
+15% or more0 (0.0%)8 (2.8%)55 (19.2%)172 (61.0%)222 (80.4%)
+20% or more0 (0.0%)4 (1.4%)44 (15.3%)136 (48.2%)182 (65.9%)
+30% or more0 (0.0%)2 (0.7%)30 (10.5%)89 (31.6%)148 (53.6%)
+50% or more0 (0.0%)0 (0.0%)2 (0.7%)58 (20.6%)147 (53.3%)
+100% or more0 (0.0%)0 (0.0%)0 (0.0%)23 (8.2%)83 (30.1%)
+200% or more0 (0.0%)0 (0.0%)0 (0.0%)0 (0.0%)15 (5.4%)
−0.1% or lower270 (93.1%)277 (95.8%)279 (97.2%)276 (97.9%)270 (97.8%)
−0.2% or lower252 (86.9%)268 (92.7%)278 (96.9%)275 (97.5%)269 (97.5%)
−0.5% or lower202 (69.7%)252 (87.2%)265 (92.3%)263 (93.3%)259 (93.8%)
−1% or lower127 (43.8%)210 (72.7%)250 (87.1%)253 (89.7%)249 (90.2%)
−2% or lower32 (11.0%)118 (40.8%)215 (74.9%)231 (81.9%)228 (82.6%)
−5% or lower4 (1.4%)19 (6.6%)92 (32.1%)136 (48.2%)151 (54.7%)
−10% or lower1 (0.3%)3 (1.0%)21 (7.3%)57 (20.2%)74 (26.8%)
−15% or lower0 (0.0%)0 (0.0%)0 (0.0%)8 (2.8%)27 (9.8%)
−20% or lower0 (0.0%)0 (0.0%)0 (0.0%)0 (0.0%)6 (2.2%)

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
Measured303302298293288
Too recent0151015
+0.1% or more273 (90.1%)286 (94.7%)293 (98.3%)291 (99.3%)288 (100.0%)
+0.2% or more250 (82.5%)279 (92.4%)292 (98.0%)290 (99.0%)288 (100.0%)
+0.5% or more186 (61.4%)253 (83.8%)284 (95.3%)287 (98.0%)288 (100.0%)
+1% or more108 (35.6%)201 (66.6%)266 (89.3%)280 (95.6%)288 (100.0%)
+2% or more37 (12.2%)120 (39.7%)213 (71.5%)255 (87.0%)288 (100.0%)
+5% or more7 (2.3%)33 (10.9%)117 (39.3%)208 (71.0%)283 (98.3%)
+10% or more0 (0.0%)9 (3.0%)69 (23.2%)186 (63.5%)267 (92.7%)
+15% or more0 (0.0%)8 (2.6%)51 (17.1%)167 (57.0%)234 (81.3%)
+20% or more0 (0.0%)4 (1.3%)40 (13.4%)131 (44.7%)194 (67.4%)
+30% or more0 (0.0%)2 (0.7%)30 (10.1%)84 (28.7%)160 (55.6%)
+50% or more0 (0.0%)0 (0.0%)2 (0.7%)54 (18.4%)158 (54.9%)
+100% or more0 (0.0%)0 (0.0%)0 (0.0%)23 (7.8%)79 (27.4%)
+200% or more0 (0.0%)0 (0.0%)0 (0.0%)0 (0.0%)15 (5.2%)
−0.1% or lower282 (93.1%)290 (96.0%)290 (97.3%)287 (98.0%)282 (97.9%)
−0.2% or lower263 (86.8%)281 (93.0%)289 (97.0%)286 (97.6%)281 (97.6%)
−0.5% or lower213 (70.3%)264 (87.4%)276 (92.6%)274 (93.5%)272 (94.4%)
−1% or lower133 (43.9%)216 (71.5%)261 (87.6%)264 (90.1%)263 (91.3%)
−2% or lower33 (10.9%)124 (41.1%)224 (75.2%)243 (82.9%)243 (84.4%)
−5% or lower4 (1.3%)18 (6.0%)91 (30.5%)152 (51.9%)167 (58.0%)
−10% or lower1 (0.3%)3 (1.0%)21 (7.0%)58 (19.8%)75 (26.0%)
−15% or lower0 (0.0%)0 (0.0%)0 (0.0%)8 (2.7%)27 (9.4%)
−20% or lower0 (0.0%)0 (0.0%)0 (0.0%)0 (0.0%)6 (2.1%)

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. 287 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. 287 with a complete 24 hours.
Price 30 minutes laterForward 30-minute returnForward 30-minute returns across 290 matches: 59% of them finished down. 0 too recent.

How to read a distribution

Matches per UTC day

  • 30 Aug12 matches
  • 31 Aug17 matches
  • 1 Sep15 matches
  • 2 Sep9 matches
  • 3 Sep2 matches
  • 4 Sep9 matches
  • 5 Sep7 matches
  • 6 Sep12 matches
  • 7 Sep12 matches
  • 8 Sep13 matches
  • 9 Sep14 matches
  • 10 Sep14 matches
  • 11 Sep12 matches
  • 12 Sep15 matches
  • 13 Sep14 matches
  • 14 Sep11 matches
  • 15 Sep17 matches
  • 16 Sep16 matches
  • 17 Sep15 matches
  • 18 Sep12 matches
  • 19 Sep12 matches
  • 20 Sep12 matches
  • 21 Sep4 matches
  • 22 Sep0 matches
  • 23 Sep0 matches
  • 24 Sep1 match
  • 25 Sep5 matches
  • 26 Sep0 matches
  • 27 Sep5 matches
  • 28 Sep3 matches
  • 29 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 MUBARAKUSDT, 2026-08-30 00:00 to 2026-09-29 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#a9c19bc0)

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
a9c19bc08f5245413b8485eca747316ec0db381a91bc01fe13473b58341b39c4
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.taker_buy_ratio_15m",
        "gte",
        0.62
      ],
      [
        "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.taker_buy_ratio_15m","gte",0.62],["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.