< One-sided tape: sellersAPTUSDT · historical base rate

One-sided tape: sellers on APTUSDT

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

What has happened on APTUSDT when it held

Historically, when One-sided tape: sellers on APTUSDT held (409 occurrences in the scanned window, 395 with a computable 24h horizon), the market reached +5% within 24h in 33 of 395 (8.4) and drew down 10%+ in 0 of 395 (0.0). Maximum favorable (MFE) and maximum adverse (MAE) excursions, both computed forward.

Outcome distribution

WHAT FOLLOWED - ALL 409 MATCHES, FROM THE PER-SCAN SUMMARY

0 OF 409 (0.0%) REACHED +5% WITHIN 1H

METRIC MFE_1H · CHIPS RE-READ THE SUMMARY, NEVER RE-QUERY

🔒 COMPUTED FORWARD, NEVER A FILTER · DENOMINATOR 409 = MATCHES WITH A COMPLETE 1H HORIZON

OCCURRENCES PER DAY · UTC · SUM 409 - ALL 409, NOT THE PAGE
MAX 18 · 2026-07-2607-0607-1307-2007-272026-07-01 TO 2026-07-31 · 31 UTC DAYS · ZERO DAYS KEEP THEIR SLOT

About 13 a day, on 29 of 31 days: spread through the record rather than one event.

FWD_RET_30M DISTRIBUTION · 409 PRESENT · 0 ABSENT
≥ +5: 0 OF 4090000012207181810000≤-20-20..-15-15..-10-10..-5-5..-2-2..-1-1..00..+1+1..+2+2..+5+5..+10+10..+15+15..+20≥+20

Forward 30-minute returns across 409 matches: close to an even split, which is what a coin flip looks like.

Upside reached (MFE, 24h)Drawdown (MAE, 24h)

Versus baseline

Historically, when any eligible APTUSDT minute in the window (baseline) held (34,854 occurrences in the scanned window, 33,737 with a computable 24h horizon), the market reached +5% within 24h in 3,181 of 33,737 (9.4) and drew down 10%+ in 0 of 33,737 (0.0). Maximum favorable (MFE) and maximum adverse (MAE) excursions, both computed forward.

The full record

The same setup counted over every recorded day on APTUSDT (2026-05-15 to 2026-07-31), growing daily.

Historically, when One-sided tape: sellers on APTUSDT over the full record held (763 occurrences in the scanned window, 749 with a computable 24h horizon), the market reached +5% within 24h in 85 of 749 (11.3) and drew down 10%+ in 8 of 749 (1.1). Maximum favorable (MFE) and maximum adverse (MAE) excursions, both computed forward.

WHAT FOLLOWED - ALL 763 MATCHES, FROM THE PER-SCAN SUMMARY

1 OF 763 (0.1%) REACHED +5% WITHIN 1H

METRIC MFE_1H · CHIPS RE-READ THE SUMMARY, NEVER RE-QUERY

🔒 COMPUTED FORWARD, NEVER A FILTER · DENOMINATOR 763 = MATCHES WITH A COMPLETE 1H HORIZON

OCCURRENCES PER DAY · UTC · SUM 763 - ALL 763, NOT THE PAGE
MAX 18 · 2026-07-26MAY 15JUN 01JUL 012026-05-15 TO 2026-07-31 · 78 UTC DAYS · ZERO DAYS KEEP THEIR SLOT

About 9.8 a day, on 55 of 78 days: spread through the record rather than one event.

FWD_RET_30M DISTRIBUTION · 763 PRESENT · 0 ABSENT
≥ +5: 0 OF 76300002293793252350000≤-20-20..-15-15..-10-10..-5-5..-2-2..-1-1..00..+1+1..+2+2..+5+5..+10+10..+15+15..+20≥+20

Forward 30-minute returns across 763 matches: close to an even split, which is what a coin flip looks like.

Reproducibility key (q#b244c35f)
grammar
research_query.v2
normalization
archive_normalization.v1
feature library
feature_defs.v1
dataset revision
52a43a418a97fbe3a324f7c372fa4d53967163acaa0ed33c56b78ddd897331a4
query hash
b244c35fbe2d7f50f49bf4356241ccf13a237a33d7c0b40291c1eb546883253f
scanned window
2026-07-01T00:00:00.000Z to 2026-07-31T00:00:00.000Z (UTC)

Same key, same bytes. This receipt reruns; it does not retell. When the record grows, the dataset revision changes and says so.

Re-run this over the API or MCP

This is the exact research_query.v2 definition behind the receipt. Send it to the key-authed research API (or the MCP research tool) and diff 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",
        "aptusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-07-01T00:00:00.000Z",
          "2026-07-31T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","aptusdt"],["times.anchor_time","between",["2026-07-01T00:00:00.000Z","2026-07-31T00:00:00.000Z"]]]},"sort":["times.anchor_time","desc"],"page":{"limit":50,"cursor":null}}'

How to read this

  • Counts ship with denominators: occurrences across the eligible symbol-buckets scanned. A rate is over the occurrences with a computable horizon (present), never the total.
  • Absent is absent. When a feature was not warm at a minute, that bucket leaves the denominator and is reported; it is never coerced to zero.
  • This selects a setup, never its outcome. The grammar forbids filtering on what followed (OUTCOME_IN_PREDICATE), so the distribution below is over every occurrence, not a survivorship-picked subset.

Occurrences are observed examples in a selected archive, not a guarantee. Outcomes are computed forward from each anchor and are descriptive, never a filter and never a prediction. Nothing here is trading advice.

Everything measured on APTUSDT right now: the APTUSDT research page