< One-sided tape: buyersOPUSDT · historical base rate

One-sided tape: buyers on OPUSDT

Taker buy ratio over the last 15 minutes has run at 0.62 or more: a persistently buyer-heavy tape.

What has happened on OPUSDT when it held

Historically, when One-sided tape: buyers on OPUSDT held (444 occurrences in the scanned window, 429 with a computable 24h horizon), the market reached +5% within 24h in 48 of 429 (11.2) and drew down 10%+ in 3 of 429 (0.7). Maximum favorable (MFE) and maximum adverse (MAE) excursions, both computed forward.

Outcome distribution

WHAT FOLLOWED - ALL 444 MATCHES, FROM THE PER-SCAN SUMMARY

0 OF 444 (0.0%) REACHED +5% WITHIN 1H

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

🔒 COMPUTED FORWARD, NEVER A FILTER · DENOMINATOR 444 = MATCHES WITH A COMPLETE 1H HORIZON

OCCURRENCES PER DAY · UTC · SUM 444 - ALL 444, NOT THE PAGE
MAX 19 · 2026-07-2607-0607-1307-2007-272026-07-01 TO 2026-07-31 · 31 UTC DAYS · ZERO DAYS KEEP THEIR SLOT

About 14 a day, on 29 of 31 days: spread through the record rather than one event.

FWD_RET_30M DISTRIBUTION · 444 PRESENT · 0 ABSENT
≥ +5: 0 OF 4440000162142121100000≤-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 444 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 OPUSDT minute in the window (baseline) held (35,503 occurrences in the scanned window, 34,235 with a computable 24h horizon), the market reached +5% within 24h in 4,450 of 34,235 (13.0) and drew down 10%+ in 223 of 34,235 (0.7). Maximum favorable (MFE) and maximum adverse (MAE) excursions, both computed forward.

The full record

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

Historically, when One-sided tape: buyers on OPUSDT over the full record held (751 occurrences in the scanned window, 736 with a computable 24h horizon), the market reached +5% within 24h in 115 of 736 (15.6) and drew down 10%+ in 7 of 736 (1.0). Maximum favorable (MFE) and maximum adverse (MAE) excursions, both computed forward.

WHAT FOLLOWED - ALL 751 MATCHES, FROM THE PER-SCAN SUMMARY

1 OF 751 (0.1%) REACHED +5% WITHIN 1H

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

🔒 COMPUTED FORWARD, NEVER A FILTER · DENOMINATOR 751 = MATCHES WITH A COMPLETE 1H HORIZON

OCCURRENCES PER DAY · UTC · SUM 751 - ALL 751, NOT THE PAGE
MAX 19 · 2026-07-26MAY 15JUN 01JUL 012026-05-15 TO 2026-07-31 · 78 UTC DAYS · ZERO DAYS KEEP THEIR SLOT

About 9.6 a day, on 55 of 78 days: spread through the record rather than one event.

FWD_RET_30M DISTRIBUTION · 751 PRESENT · 0 ABSENT
≥ +5: 0 OF 75100003193513472830000≤-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 751 matches: close to an even split, which is what a coin flip looks like.

Reproducibility key (q#e0de1ae7)
grammar
research_query.v2
normalization
archive_normalization.v1
feature library
feature_defs.v1
dataset revision
52a43a418a97fbe3a324f7c372fa4d53967163acaa0ed33c56b78ddd897331a4
query hash
e0de1ae75a7f5bdde7697530c06470b132a82bd603b72fb1f806b4293a786c9e
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",
        "gte",
        0.62
      ],
      [
        "identity.symbol",
        "eq",
        "opusdt"
      ],
      [
        "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","gte",0.62],["identity.symbol","eq","opusdt"],["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 OPUSDT right now: the OPUSDT research page