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< One-sided tape: buyers
AINUSDT · recorded history

One-sided tape: buyers on AINUSDT

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 AINUSDT itself

    Inspect AINUSDT now or at a past minute

  2. Its recorded moves

    AINUSDT market events and replays

  3. Test it on AINUSDT, 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?

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
63.8% · 157 of 246 minutes
Other minutes
71.2% · 26,193 of 36,797 minutes

Price touched −10% or lower

When this held
23.2% · 57 of 246 minutes
Other minutes
36.3% · 13,340 of 36,797 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 246 of 251 matches with a full 24 hours after them. The 5 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, 2026-10-04 to 2026-11-03

About 8.1 a day, on 27 of 31 days: spread through the record rather than one event.

Over the full record

Every recorded day on AINUSDT, 2026-08-23 to 2026-09-22: reached +5% in 107 of 359 (29.8%); fell to −10% in 3 of 359 (0.8%), 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
Measured250249246243234
Too recent125817
+0.1% or more225 (90.0%)239 (96.0%)242 (98.4%)241 (99.2%)233 (99.6%)
+0.2% or more209 (83.6%)229 (92.0%)239 (97.2%)240 (98.8%)233 (99.6%)
+0.5% or more171 (68.4%)207 (83.1%)234 (95.1%)238 (97.9%)232 (99.1%)
+1% or more113 (45.2%)169 (67.9%)225 (91.5%)233 (95.9%)231 (98.7%)
+2% or more51 (20.4%)113 (45.4%)203 (82.5%)226 (93.0%)227 (97.0%)
+5% or more17 (6.8%)41 (16.5%)157 (63.8%)192 (79.0%)208 (88.9%)
+10% or more8 (3.2%)17 (6.8%)76 (30.9%)136 (56.0%)167 (71.4%)
+15% or more6 (2.4%)11 (4.4%)42 (17.1%)100 (41.2%)152 (65.0%)
+20% or more3 (1.2%)8 (3.2%)26 (10.6%)69 (28.4%)136 (58.1%)
+30% or more0 (0.0%)1 (0.4%)15 (6.1%)42 (17.3%)92 (39.3%)
+50% or more0 (0.0%)0 (0.0%)10 (4.1%)38 (15.6%)77 (32.9%)
+100% or more0 (0.0%)0 (0.0%)6 (2.4%)37 (15.2%)76 (32.5%)
+200% or more0 (0.0%)0 (0.0%)2 (0.8%)30 (12.3%)72 (30.8%)
+400% or more0 (0.0%)0 (0.0%)0 (0.0%)0 (0.0%)39 (16.7%)
−0.1% or lower237 (94.8%)244 (98.0%)245 (99.6%)243 (100.0%)234 (100.0%)
−0.2% or lower224 (89.6%)237 (95.2%)243 (98.8%)243 (100.0%)234 (100.0%)
−0.5% or lower176 (70.4%)217 (87.1%)237 (96.3%)239 (98.4%)234 (100.0%)
−1% or lower111 (44.4%)180 (72.3%)226 (91.9%)234 (96.3%)233 (99.6%)
−2% or lower47 (18.8%)119 (47.8%)200 (81.3%)220 (90.5%)226 (96.6%)
−5% or lower10 (4.0%)28 (11.2%)144 (58.5%)189 (77.8%)209 (89.3%)
−10% or lower4 (1.6%)8 (3.2%)57 (23.2%)150 (61.7%)188 (80.3%)
−15% or lower2 (0.8%)2 (0.8%)28 (11.4%)65 (26.7%)100 (42.7%)
−20% or lower0 (0.0%)0 (0.0%)17 (6.9%)20 (8.2%)30 (12.8%)
−30% or lower0 (0.0%)0 (0.0%)5 (2.0%)16 (6.6%)16 (6.8%)
−50% or lower0 (0.0%)0 (0.0%)0 (0.0%)1 (0.4%)1 (0.4%)

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 hours72 hours7 days
Measured368366359344339
Too recent24112631
+0.1% or more311 (84.5%)342 (93.4%)350 (97.5%)340 (98.8%)336 (99.1%)
+0.2% or more272 (73.9%)320 (87.4%)346 (96.4%)339 (98.5%)336 (99.1%)
+0.5% or more171 (46.5%)254 (69.4%)321 (89.4%)327 (95.1%)333 (98.2%)
+1% or more85 (23.1%)170 (46.4%)284 (79.1%)308 (89.5%)325 (95.9%)
+2% or more30 (8.2%)80 (21.9%)201 (56.0%)280 (81.4%)306 (90.3%)
+5% or more2 (0.5%)18 (4.9%)107 (29.8%)200 (58.1%)252 (74.3%)
+10% or more1 (0.3%)4 (1.1%)28 (7.8%)79 (23.0%)187 (55.2%)
+15% or more1 (0.3%)3 (0.8%)18 (5.0%)48 (14.0%)121 (35.7%)
+20% or more1 (0.3%)2 (0.5%)14 (3.9%)44 (12.8%)105 (31.0%)
+30% or more1 (0.3%)2 (0.5%)14 (3.9%)44 (12.8%)105 (31.0%)
+50% or more1 (0.3%)2 (0.5%)14 (3.9%)43 (12.5%)105 (31.0%)
+100% or more0 (0.0%)0 (0.0%)3 (0.8%)30 (8.7%)92 (27.1%)
+200% or more0 (0.0%)0 (0.0%)0 (0.0%)21 (6.1%)66 (19.5%)
−0.1% or lower325 (88.3%)340 (92.9%)350 (97.5%)338 (98.3%)337 (99.4%)
−0.2% or lower296 (80.4%)324 (88.5%)343 (95.5%)338 (98.3%)337 (99.4%)
−0.5% or lower169 (45.9%)271 (74.0%)323 (90.0%)331 (96.2%)335 (98.8%)
−1% or lower71 (19.3%)183 (50.0%)299 (83.3%)322 (93.6%)332 (97.9%)
−2% or lower18 (4.9%)71 (19.4%)236 (65.7%)300 (87.2%)329 (97.1%)
−5% or lower3 (0.8%)8 (2.2%)65 (18.1%)217 (63.1%)296 (87.3%)
−10% or lower0 (0.0%)2 (0.5%)3 (0.8%)30 (8.7%)139 (41.0%)
−15% or lower0 (0.0%)0 (0.0%)0 (0.0%)18 (5.2%)82 (24.2%)
−20% or lower0 (0.0%)0 (0.0%)0 (0.0%)17 (4.9%)76 (22.4%)
−30% or lower0 (0.0%)0 (0.0%)0 (0.0%)17 (4.9%)76 (22.4%)
−50% or lower0 (0.0%)0 (0.0%)0 (0.0%)17 (4.9%)76 (22.4%)

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. 246 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. 246 with a complete 24 hours.
Price 30 minutes laterForward 30-minute returnForward 30-minute returns across 250 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

  • 4 Oct0 matches
  • 5 Oct1 match
  • 6 Oct7 matches
  • 7 Oct10 matches
  • 8 Oct6 matches
  • 9 Oct11 matches
  • 10 Oct11 matches
  • 11 Oct11 matches
  • 12 Oct13 matches
  • 13 Oct14 matches
  • 14 Oct8 matches
  • 15 Oct14 matches
  • 16 Oct13 matches
  • 17 Oct15 matches
  • 18 Oct16 matches
  • 19 Oct10 matches
  • 20 Oct11 matches
  • 21 Oct10 matches
  • 22 Oct11 matches
  • 23 Oct15 matches
  • 24 Oct14 matches
  • 25 Oct14 matches
  • 26 Oct6 matches
  • 27 Oct2 matches
  • 28 Oct0 matches
  • 29 Oct1 match
  • 30 Oct2 matches
  • 31 Oct1 match
  • 1 Nov4 matches
  • 2 Nov0 matches
  • 3 Nov0 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 41,714 eligible market-minutes (eligible_symbol_buckets) on AINUSDT, 2026-10-04 00:00 to 2026-11-03 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#da761c29)

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
de0f2ef50baf530a363ce0c08cc21c068b14c0b5cf13829e8ff800ee4b3f829f
query hash
da761c297d5708851e0115cebabaf8f4a71b7cdd4aabc9ec230e3508bd2b4316
scanned window
2026-10-04T00:00:00.000Z to 2026-11-03T00:00:00.000Z (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",
        "ainusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-10-04T00:00:00.000Z",
          "2026-11-03T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","ainusdt"],["times.anchor_time","between",["2026-10-04T00:00:00.000Z","2026-11-03T00:00:00.000Z"]]]},"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.