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< One-sided tape: sellers
BULLAUSDT · recorded history

One-sided tape: sellers on BULLAUSDT

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 BULLAUSDT itself

    Inspect BULLAUSDT now or at a past minute

  2. Its recorded moves

    BULLAUSDT market events and replays

  3. Test it on BULLAUSDT, then plan it

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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
49.2% · 151 of 307 minutes
Other minutes
58.6% · 20,734 of 35,366 minutes

Price touched −10% or lower

When this held
12.1% · 37 of 307 minutes
Other minutes
26.1% · 9,226 of 35,366 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 307 of 318 matches with a full 24 hours after them. The 11 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, 2026-08-13 to 2026-09-12

About 10 a day, on 26 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.
Move1 hour4 hours24 hours72 hours7 days
Measured317315307298295
Too recent13112023
+0.1% or more299 (94.3%)308 (97.8%)305 (99.3%)297 (99.7%)295 (100.0%)
+0.2% or more250 (78.9%)288 (91.4%)300 (97.7%)295 (99.0%)294 (99.7%)
+0.5% or more140 (44.2%)204 (64.8%)272 (88.6%)288 (96.6%)294 (99.7%)
+1% or more84 (26.5%)154 (48.9%)247 (80.5%)281 (94.3%)293 (99.3%)
+2% or more38 (12.0%)91 (28.9%)197 (64.2%)258 (86.6%)287 (97.3%)
+5% or more9 (2.8%)35 (11.1%)151 (49.2%)234 (78.5%)280 (94.9%)
+10% or more0 (0.0%)10 (3.2%)87 (28.3%)171 (57.4%)238 (80.7%)
+15% or more0 (0.0%)5 (1.6%)68 (22.1%)159 (53.4%)206 (69.8%)
+20% or more0 (0.0%)1 (0.3%)36 (11.7%)94 (31.5%)149 (50.5%)
+30% or more0 (0.0%)0 (0.0%)31 (10.1%)78 (26.2%)134 (45.4%)
+50% or more0 (0.0%)0 (0.0%)16 (5.2%)47 (15.8%)104 (35.3%)
+100% or more0 (0.0%)0 (0.0%)1 (0.3%)29 (9.7%)92 (31.2%)
+200% or more0 (0.0%)0 (0.0%)1 (0.3%)5 (1.7%)71 (24.1%)
+400% or more0 (0.0%)0 (0.0%)0 (0.0%)0 (0.0%)58 (19.7%)
−0.1% or lower285 (89.9%)304 (96.5%)303 (98.7%)296 (99.3%)294 (99.7%)
−0.2% or lower250 (78.9%)295 (93.7%)301 (98.0%)295 (99.0%)294 (99.7%)
−0.5% or lower158 (49.8%)236 (74.9%)293 (95.4%)291 (97.7%)293 (99.3%)
−1% or lower90 (28.4%)156 (49.5%)271 (88.3%)275 (92.3%)287 (97.3%)
−2% or lower36 (11.4%)92 (29.2%)217 (70.7%)246 (82.6%)267 (90.5%)
−5% or lower6 (1.9%)22 (7.0%)83 (27.0%)138 (46.3%)185 (62.7%)
−10% or lower2 (0.6%)6 (1.9%)37 (12.1%)52 (17.4%)94 (31.9%)
−15% or lower0 (0.0%)2 (0.6%)16 (5.2%)44 (14.8%)92 (31.2%)
−20% or lower0 (0.0%)0 (0.0%)3 (1.0%)15 (5.0%)22 (7.5%)

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. 307 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. 307 with a complete 24 hours.
Price 30 minutes laterForward 30-minute returnForward 30-minute returns across 316 matches: close to an even split, which is what a coin flip looks like. 2 too recent.

How to read a distribution

Matches per UTC day

  • 13 Aug14 matches
  • 14 Aug12 matches
  • 15 Aug12 matches
  • 16 Aug14 matches
  • 17 Aug15 matches
  • 18 Aug13 matches
  • 19 Aug15 matches
  • 20 Aug14 matches
  • 21 Aug17 matches
  • 22 Aug15 matches
  • 23 Aug11 matches
  • 24 Aug13 matches
  • 25 Aug15 matches
  • 26 Aug15 matches
  • 27 Aug15 matches
  • 28 Aug13 matches
  • 29 Aug17 matches
  • 30 Aug15 matches
  • 31 Aug18 matches
  • 1 Sep15 matches
  • 2 Sep6 matches
  • 3 Sep0 matches
  • 4 Sep1 match
  • 5 Sep0 matches
  • 6 Sep0 matches
  • 7 Sep0 matches
  • 8 Sep3 matches
  • 9 Sep4 matches
  • 10 Sep5 matches
  • 11 Sep11 matches
  • 12 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 BULLAUSDT, 2026-08-13 00:00 to 2026-09-12 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#f4032188)

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
6f4da1c2adf862b510f8a35228a8fd2c0c503e6161f51a09a723319e064d2c16
query hash
f4032188408bc5c9c63b4b44c974686e212e0e4b7adf995ab60abf89543dc450
scanned window
2026-08-13T00:00:00.000Z to 2026-09-12T00:00:00.000Z (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",
        "bullausdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-08-13T00:00:00.000Z",
          "2026-09-12T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","bullausdt"],["times.anchor_time","between",["2026-08-13T00:00:00.000Z","2026-09-12T00:00:00.000Z"]]]},"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.