UBUSDT · recorded history

One-sided tape: sellers on UBUSDT

Taker buy ratio over the last 15 minutes has run at 0.38 or less: a persistently seller-heavy tape.

Read it in context

  1. Read UBUSDT itself

  2. Its recorded moves

  3. Test it on UBUSDT, 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?

Reaching +5% was about as common as without it; falling to −10% was less common than 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
77.2% · 129 of 167 minutes
Other minutes
79.8% · 30,001 of 37,596 minutes

Price touched −10% or lower

When this held
15.0% · 25 of 167 minutes
Other minutes
31.1% · 11,688 of 37,596 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 167 of 174 matches with a full 24 hours after them. The 7 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, 2026-07-12 to 2026-08-11

About 5.6 a day, on 27 of 31 days: spread through the record rather than one event.

Over the full record

Every recorded day on UBUSDT, 2026-05-15 to 2026-08-11: reached +5% in 294 of 457 (64.3%); fell to −10% in 130 of 457 (28.4%), 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 hours
Measured174172167
Too recent027
+1% or more88 (50.6%)133 (77.3%)162 (97.0%)
+2% or more52 (29.9%)107 (62.2%)154 (92.2%)
+5% or more8 (4.6%)47 (27.3%)129 (77.2%)
+10% or more0 (0.0%)7 (4.1%)83 (49.7%)
+15% or more0 (0.0%)2 (1.2%)53 (31.7%)
+20% or more0 (0.0%)1 (0.6%)19 (11.4%)
−1% or lower91 (52.3%)128 (74.4%)148 (88.6%)
−2% or lower45 (25.9%)90 (52.3%)137 (82.0%)
−5% or lower7 (4.0%)30 (17.4%)78 (46.7%)
−10% or lower1 (0.6%)4 (2.3%)25 (15.0%)
−15% or lower1 (0.6%)1 (0.6%)13 (7.8%)
−20% or lower0 (0.0%)0 (0.0%)9 (5.4%)

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.
Move1 hour4 hours24 hours
Measured464462457
Too recent027
+1% or more244 (52.6%)362 (78.4%)428 (93.7%)
+2% or more133 (28.7%)290 (62.8%)400 (87.5%)
+5% or more17 (3.7%)102 (22.1%)294 (64.3%)
+10% or more0 (0.0%)16 (3.5%)169 (37.0%)
+15% or more0 (0.0%)4 (0.9%)110 (24.1%)
+20% or more0 (0.0%)1 (0.2%)57 (12.5%)
−1% or lower244 (52.6%)344 (74.5%)416 (91.0%)
−2% or lower131 (28.2%)254 (55.0%)389 (85.1%)
−5% or lower24 (5.2%)86 (18.6%)284 (62.1%)
−10% or lower3 (0.6%)16 (3.5%)130 (28.4%)
−15% or lower2 (0.4%)5 (1.1%)57 (12.5%)
−20% or lower1 (0.2%)2 (0.4%)29 (6.3%)

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. 167 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. 167 with a complete 24 hours.
Price 30 minutes laterForward 30-minute returnForward 30-minute returns across 174 matches: close to an even split, which is what a coin flip looks like. 0 too recent.

How to read a distribution

Matches per UTC day

  • 12 Jul15 matches
  • 13 Jul10 matches
  • 14 Jul8 matches
  • 15 Jul6 matches
  • 16 Jul7 matches
  • 17 Jul5 matches
  • 18 Jul13 matches
  • 19 Jul11 matches
  • 20 Jul8 matches
  • 21 Jul9 matches
  • 22 Jul1 match
  • 23 Jul6 matches
  • 24 Jul8 matches
  • 25 Jul5 matches
  • 26 Jul4 matches
  • 27 Jul5 matches
  • 28 Jul6 matches
  • 29 Jul4 matches
  • 30 Jul4 matches
  • 31 Jul10 matches
  • 1 Aug10 matches
  • 2 Aug4 matches
  • 3 Aug3 matches
  • 4 Aug1 match
  • 5 Aug2 matches
  • 6 Aug0 matches
  • 7 Aug2 matches
  • 8 Aug7 matches
  • 9 Aug0 matches
  • 10 Aug0 matches
  • 11 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 40,321 eligible market-minutes (eligible_symbol_buckets) on UBUSDT, 2026-07-12 00:00 to 2026-08-11 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#416ad1b9)

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
fbb293e1e0a45420ed804b240e8dd19aab0fa5a23047a53159c4753b6a7fe272
query hash
416ad1b99c5b1f8d72618fa2deee68077bfc12da86afcc65df976d9fc3c8be3b
scanned window
2026-07-12T00:00:00.000Z to 2026-08-11T00:00:00.000Z (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",
        "lte",
        0.38
      ],
      [
        "identity.symbol",
        "eq",
        "ubusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-07-12T00:00:00.000Z",
          "2026-08-11T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","lte",0.38],["identity.symbol","eq","ubusdt"],["times.anchor_time","between",["2026-07-12T00:00:00.000Z","2026-08-11T00:00:00.000Z"]]]},"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.