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< One-sided tape: sellers
ONEUSDT · recorded history

One-sided tape: sellers on ONEUSDT

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 ONEUSDT itself

    Inspect ONEUSDT now or at a past minute

  2. Its recorded moves

    ONEUSDT market events and replays

  3. Test it on ONEUSDT, 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
18.8% · 51 of 272 minutes
Other minutes
44.6% · 16,402 of 36,738 minutes

Price touched −10% or lower

When this held
5.5% · 15 of 272 minutes
Other minutes
32.0% · 11,772 of 36,738 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 272 of 283 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, 2026-08-31 to 2026-09-30

About 9.1 a day, on 24 of 31 days: spread through the record rather than one event.

Over the full record

Every recorded day on ONEUSDT, 2026-08-29 to 2026-09-28: reached +5% in 46 of 295 (15.6%); fell to −10% in 14 of 295 (4.7%), 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
Measured282280272266260
Too recent13111723
+0.1% or more252 (89.4%)260 (92.9%)266 (97.8%)262 (98.5%)258 (99.2%)
+0.2% or more226 (80.1%)247 (88.2%)259 (95.2%)258 (97.0%)256 (98.5%)
+0.5% or more132 (46.8%)187 (66.8%)241 (88.6%)245 (92.1%)246 (94.6%)
+1% or more57 (20.2%)124 (44.3%)207 (76.1%)226 (85.0%)232 (89.2%)
+2% or more13 (4.6%)63 (22.5%)148 (54.4%)174 (65.4%)200 (76.9%)
+5% or more2 (0.7%)9 (3.2%)51 (18.8%)122 (45.9%)130 (50.0%)
+10% or more1 (0.4%)6 (2.1%)22 (8.1%)58 (21.8%)115 (44.2%)
+15% or more1 (0.4%)3 (1.1%)21 (7.7%)54 (20.3%)113 (43.5%)
+20% or more0 (0.0%)2 (0.7%)20 (7.4%)54 (20.3%)113 (43.5%)
+30% or more0 (0.0%)2 (0.7%)19 (7.0%)52 (19.5%)113 (43.5%)
+50% or more0 (0.0%)2 (0.7%)15 (5.5%)49 (18.4%)113 (43.5%)
+100% or more0 (0.0%)0 (0.0%)5 (1.8%)38 (14.3%)107 (41.2%)
+200% or more0 (0.0%)0 (0.0%)0 (0.0%)32 (12.0%)99 (38.1%)
+400% or more0 (0.0%)0 (0.0%)0 (0.0%)4 (1.5%)71 (27.3%)
−0.1% or lower258 (91.5%)267 (95.4%)269 (98.9%)264 (99.2%)260 (100.0%)
−0.2% or lower226 (80.1%)254 (90.7%)264 (97.1%)261 (98.1%)260 (100.0%)
−0.5% or lower141 (50.0%)209 (74.6%)252 (92.6%)259 (97.4%)258 (99.2%)
−1% or lower63 (22.3%)144 (51.4%)224 (82.4%)246 (92.5%)251 (96.5%)
−2% or lower21 (7.4%)80 (28.6%)180 (66.2%)208 (78.2%)241 (92.7%)
−5% or lower1 (0.4%)13 (4.6%)56 (20.6%)119 (44.7%)174 (66.9%)
−10% or lower0 (0.0%)1 (0.4%)15 (5.5%)53 (19.9%)102 (39.2%)
−15% or lower0 (0.0%)0 (0.0%)4 (1.5%)14 (5.3%)67 (25.8%)
−20% or lower0 (0.0%)0 (0.0%)4 (1.5%)4 (1.5%)2 (0.8%)
−30% or lower0 (0.0%)0 (0.0%)0 (0.0%)4 (1.5%)2 (0.8%)

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
Measured299299295292287
Too recent226914
+0.1% or more266 (89.0%)277 (92.6%)289 (98.0%)288 (98.6%)285 (99.3%)
+0.2% or more240 (80.3%)264 (88.3%)282 (95.6%)284 (97.3%)283 (98.6%)
+0.5% or more139 (46.5%)200 (66.9%)262 (88.8%)271 (92.8%)273 (95.1%)
+1% or more52 (17.4%)126 (42.1%)223 (75.6%)248 (84.9%)259 (90.2%)
+2% or more12 (4.0%)59 (19.7%)156 (52.9%)186 (63.7%)218 (76.0%)
+5% or more2 (0.7%)8 (2.7%)46 (15.6%)119 (40.8%)129 (44.9%)
+10% or more1 (0.3%)5 (1.7%)17 (5.8%)55 (18.8%)114 (39.7%)
+15% or more1 (0.3%)3 (1.0%)16 (5.4%)51 (17.5%)113 (39.4%)
+20% or more0 (0.0%)2 (0.7%)16 (5.4%)51 (17.5%)113 (39.4%)
+30% or more0 (0.0%)2 (0.7%)16 (5.4%)50 (17.1%)113 (39.4%)
+50% or more0 (0.0%)2 (0.7%)15 (5.1%)49 (16.8%)113 (39.4%)
+100% or more0 (0.0%)0 (0.0%)5 (1.7%)38 (13.0%)107 (37.3%)
+200% or more0 (0.0%)0 (0.0%)0 (0.0%)32 (11.0%)99 (34.5%)
+400% or more0 (0.0%)0 (0.0%)0 (0.0%)4 (1.4%)71 (24.7%)
−0.1% or lower269 (90.0%)285 (95.3%)292 (99.0%)290 (99.3%)287 (100.0%)
−0.2% or lower233 (77.9%)270 (90.3%)287 (97.3%)287 (98.3%)287 (100.0%)
−0.5% or lower144 (48.2%)222 (74.2%)275 (93.2%)285 (97.6%)285 (99.3%)
−1% or lower61 (20.4%)145 (48.5%)244 (82.7%)272 (93.2%)278 (96.9%)
−2% or lower19 (6.4%)77 (25.8%)194 (65.8%)234 (80.1%)268 (93.4%)
−5% or lower1 (0.3%)12 (4.0%)66 (22.4%)142 (48.6%)198 (69.0%)
−10% or lower0 (0.0%)1 (0.3%)14 (4.7%)53 (18.2%)100 (34.8%)
−15% or lower0 (0.0%)0 (0.0%)4 (1.4%)14 (4.8%)65 (22.6%)
−20% or lower0 (0.0%)0 (0.0%)4 (1.4%)4 (1.4%)0 (0.0%)
−30% or lower0 (0.0%)0 (0.0%)0 (0.0%)4 (1.4%)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. 272 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. 272 with a complete 24 hours.
Price 30 minutes laterForward 30-minute returnForward 30-minute returns across 282 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

  • 31 Aug14 matches
  • 1 Sep13 matches
  • 2 Sep17 matches
  • 3 Sep16 matches
  • 4 Sep14 matches
  • 5 Sep12 matches
  • 6 Sep12 matches
  • 7 Sep15 matches
  • 8 Sep16 matches
  • 9 Sep16 matches
  • 10 Sep16 matches
  • 11 Sep16 matches
  • 12 Sep17 matches
  • 13 Sep15 matches
  • 14 Sep18 matches
  • 15 Sep16 matches
  • 16 Sep16 matches
  • 17 Sep0 matches
  • 18 Sep0 matches
  • 19 Sep0 matches
  • 20 Sep0 matches
  • 21 Sep0 matches
  • 22 Sep2 matches
  • 23 Sep2 matches
  • 24 Sep1 match
  • 25 Sep0 matches
  • 26 Sep3 matches
  • 27 Sep5 matches
  • 28 Sep1 match
  • 29 Sep10 matches
  • 30 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 ONEUSDT, 2026-08-31 00:00 to 2026-09-30 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#71efc247)

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
a0160256ea9f4a3d28b8c1be4b86af7c96dd894337c5da49f65d25ba8ef55f0b
query hash
71efc247b941f63fb3deeb6a067bfd9bff0139adae0703433a53d27417464d15
scanned window
2026-08-31T00:00:00.000Z to 2026-09-30T00:00:00.000Z (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",
        "oneusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-08-31T00:00:00.000Z",
          "2026-09-30T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","oneusdt"],["times.anchor_time","between",["2026-08-31T00:00:00.000Z","2026-09-30T00:00:00.000Z"]]]},"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.