AIOUSDT · recorded history

One-sided tape: sellers on AIOUSDT

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 AIOUSDT itself

  2. Its recorded moves

  3. Test it on AIOUSDT, 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
63.3% · 254 of 401 minutes
Other minutes
66.4% · 21,197 of 31,940 minutes

Price touched −10% or lower

When this held
21.4% · 86 of 401 minutes
Other minutes
34.7% · 11,090 of 31,940 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 401 of 410 matches with a full 24 hours after them. The 9 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, 2026-07-21 to 2026-08-20

About 13 a day, on 28 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 hours
Measured407404401
Too recent369
+0.1% or more389 (95.6%)396 (98.0%)398 (99.3%)
+0.2% or more365 (89.7%)383 (94.8%)390 (97.3%)
+0.5% or more295 (72.5%)349 (86.4%)383 (95.5%)
+1% or more200 (49.1%)292 (72.3%)354 (88.3%)
+2% or more98 (24.1%)204 (50.5%)319 (79.6%)
+5% or more13 (3.2%)84 (20.8%)254 (63.3%)
+10% or more1 (0.2%)23 (5.7%)133 (33.2%)
+15% or more0 (0.0%)13 (3.2%)71 (17.7%)
+20% or more0 (0.0%)1 (0.2%)41 (10.2%)
+30% or more0 (0.0%)0 (0.0%)18 (4.5%)
−0.1% or lower379 (93.1%)391 (96.8%)397 (99.0%)
−0.2% or lower355 (87.2%)378 (93.6%)394 (98.3%)
−0.5% or lower282 (69.3%)339 (83.9%)387 (96.5%)
−1% or lower186 (45.7%)284 (70.3%)368 (91.8%)
−2% or lower97 (23.8%)209 (51.7%)324 (80.8%)
−5% or lower28 (6.9%)93 (23.0%)258 (64.3%)
−10% or lower3 (0.7%)26 (6.4%)86 (21.4%)
−15% or lower2 (0.5%)8 (2.0%)49 (12.2%)
−20% or lower2 (0.5%)5 (1.2%)36 (9.0%)
−30% or lower1 (0.2%)3 (0.7%)28 (7.0%)

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. 401 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. 401 with a complete 24 hours.
Price 30 minutes laterForward 30-minute returnForward 30-minute returns across 404 matches: close to an even split, which is what a coin flip looks like. 6 too recent.

How to read a distribution

Matches per UTC day

  • 21 Jul18 matches
  • 22 Jul17 matches
  • 23 Jul19 matches
  • 24 Jul16 matches
  • 25 Jul17 matches
  • 26 Jul18 matches
  • 27 Jul17 matches
  • 28 Jul17 matches
  • 29 Jul17 matches
  • 30 Jul16 matches
  • 31 Jul9 matches
  • 1 Aug12 matches
  • 2 Aug11 matches
  • 3 Aug12 matches
  • 4 Aug14 matches
  • 5 Aug16 matches
  • 6 Aug19 matches
  • 7 Aug16 matches
  • 8 Aug17 matches
  • 9 Aug17 matches
  • 10 Aug16 matches
  • 11 Aug16 matches
  • 12 Aug18 matches
  • 13 Aug16 matches
  • 14 Aug15 matches
  • 15 Aug5 matches
  • 16 Aug0 matches
  • 17 Aug3 matches
  • 18 Aug6 matches
  • 19 Aug0 matches
  • 20 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 41,761 eligible market-minutes (eligible_symbol_buckets) on AIOUSDT, 2026-07-21 00:00 to 2026-08-20 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#da841375)

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
30d68a7a68f86613400760b155d04b0625041648d589a6fc699bd767006a8735
query hash
da841375f3617eaee79806bb3363591df0e9ae663d8f1974cf6037a1d974b0c3
scanned window
2026-07-21T00:00:00.000Z to 2026-08-20T00:00:00.000Z (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",
        "aiousdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-07-21T00:00:00.000Z",
          "2026-08-20T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","aiousdt"],["times.anchor_time","between",["2026-07-21T00:00:00.000Z","2026-08-20T00:00:00.000Z"]]]},"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.