< One-sided tape: buyersWLDUSDT · historical base rate

One-sided tape: buyers on WLDUSDT

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

What has happened on WLDUSDT when it held

Historically, when One-sided tape: buyers on WLDUSDT held (322 occurrences in the scanned window, 310 with a computable 24h horizon), the market reached +5% within 24h in 78 of 310 (25.2) and drew down 10%+ in 16 of 310 (5.2). Maximum favorable (MFE) and maximum adverse (MAE) excursions, both computed forward.

Outcome distribution

WHAT FOLLOWED - ALL 322 MATCHES, FROM THE PER-SCAN SUMMARY

1 OF 321 (0.3%) REACHED ≥ +5% WITHIN 1H

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

🔒 COMPUTED FORWARD, NEVER A FILTER · DENOMINATOR 321 = MATCHES WITH A COMPLETE 1H HORIZON (1 ABSENT: TOO CLOSE TO THE RECORD EDGE FOR 1H - NEVER TRUNCATED, NEVER AN IMPLIED ZERO)

OCCURRENCES PER DAY · UTC · SUM 322 - ALL 322, NOT THE PAGE

About 10 a day, on 29 of 31 days: spread through the record rather than one event.

FWD_RET_30M DISTRIBUTION · 320 PRESENT · 2 ABSENT

Forward 30-minute returns across 320 matches: close to an even split, which is what a coin flip looks like.

Versus baseline

Historically, when any eligible WLDUSDT minute in the window (baseline) held (38,039 occurrences in the scanned window, 36,781 with a computable 24h horizon), the market reached +5% within 24h in 9,752 of 36,781 (26.5) and drew down 10%+ in 1,566 of 36,781 (4.3). Maximum favorable (MFE) and maximum adverse (MAE) excursions, both computed forward.

The full record

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

Historically, when One-sided tape: buyers on WLDUSDT over the full record held (681 occurrences in the scanned window, 669 with a computable 24h horizon), the market reached +5% within 24h in 249 of 669 (37.2) and drew down 10%+ in 60 of 669 (9.0). Maximum favorable (MFE) and maximum adverse (MAE) excursions, both computed forward.

WHAT FOLLOWED - ALL 681 MATCHES, FROM THE PER-SCAN SUMMARY

10 OF 680 (1.5%) REACHED ≥ +5% WITHIN 1H

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

🔒 COMPUTED FORWARD, NEVER A FILTER · DENOMINATOR 680 = MATCHES WITH A COMPLETE 1H HORIZON (1 ABSENT: TOO CLOSE TO THE RECORD EDGE FOR 1H - NEVER TRUNCATED, NEVER AN IMPLIED ZERO)

OCCURRENCES PER DAY · UTC · SUM 681 - ALL 681, NOT THE PAGE

About 8.7 a day, on 76 of 78 days: spread through the record rather than one event.

FWD_RET_30M DISTRIBUTION · 679 PRESENT · 2 ABSENT

Forward 30-minute returns across 679 matches: close to an even split, which is what a coin flip looks like.

Reproducibility key (q#61f44904)

grammar: research_query.v2
normalization: archive_normalization.v1
feature library: feature_defs.v1
dataset revision: 52a43a418a97fbe3a324f7c372fa4d53967163acaa0ed33c56b78ddd897331a4
query hash: 61f44904d6a4922942106a621fde0f93288bf6a505f1af1ec1ed889eeb62c1a7
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",
        "wldusdt"
      ],
      [
        "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","wldusdt"],["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 WLDUSDT right now: the WLDUSDT research page