COTIUSDT · historical base rate

One-sided tape: sellers on COTIUSDT

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

What has happened on COTIUSDT when it held

Historically, when One-sided tape: sellers on COTIUSDT held (454 occurrences in the scanned window, 436 with a computable 24h horizon), the market reached +5% within 24h in 60 of 436 (13.8) and drew down 10%+ in 0 of 436 (0.0). Maximum favorable (MFE) and maximum adverse (MAE) excursions, both computed forward.

Outcome distribution

WHAT FOLLOWED - ALL 454 MATCHES, FROM THE PER-SCAN SUMMARY

1 OF 437 (0.2%) REACHED ≥ +5% WITHIN 1H

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

🔒 COMPUTED FORWARD, NEVER A FILTER · DENOMINATOR 437 = MATCHES WITH A COMPLETE 1H HORIZON (17 ABSENT: TOO CLOSE TO THE RECORD EDGE FOR 1H - NEVER TRUNCATED, NEVER AN IMPLIED ZERO)

OCCURRENCES PER DAY · UTC · SUM 454 - ALL 454, NOT THE PAGE

About 15 a day, on 28 of 31 days: spread through the record rather than one event.

FWD_RET_30M DISTRIBUTION · 413 PRESENT · 41 ABSENT

Forward 30-minute returns across 413 matches: close to an even split, which is what a coin flip looks like.

Upside reached · 24hThe most price moved up within 24h of each occurrence: a high-water mark, never a close. 436 with a complete 24h.

Drawdown · 24hThe worst price moved against within 24h of each occurrence: the deepest point, never the close. 436 with a complete 24h.

Versus baseline

Historically, when any eligible COTIUSDT minute in the window (baseline) held (31,226 occurrences in the scanned window, 28,128 with a computable 24h horizon), the market reached +5% within 24h in 6,442 of 28,128 (22.9) and drew down 10%+ in 1,668 of 28,128 (5.9). Maximum favorable (MFE) and maximum adverse (MAE) excursions, both computed forward.

The full record

The same setup counted over every recorded day on COTIUSDT (2026-05-15 to 2026-08-01), growing daily.

Historically, when One-sided tape: sellers on COTIUSDT over the full record held (913 occurrences in the scanned window, 883 with a computable 24h horizon), the market reached +5% within 24h in 128 of 883 (14.5) and drew down 10%+ in 8 of 883 (0.9). Maximum favorable (MFE) and maximum adverse (MAE) excursions, both computed forward.

WHAT FOLLOWED - ALL 913 MATCHES, FROM THE PER-SCAN SUMMARY

1 OF 884 (0.1%) REACHED ≥ +5% WITHIN 1H

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

🔒 COMPUTED FORWARD, NEVER A FILTER · DENOMINATOR 884 = MATCHES WITH A COMPLETE 1H HORIZON (29 ABSENT: TOO CLOSE TO THE RECORD EDGE FOR 1H - NEVER TRUNCATED, NEVER AN IMPLIED ZERO)

OCCURRENCES PER DAY · UTC · SUM 913 - ALL 913, NOT THE PAGE

About 12 a day, on 55 of 79 days: spread through the record rather than one event.

FWD_RET_30M DISTRIBUTION · 850 PRESENT · 63 ABSENT

Forward 30-minute returns across 850 matches: close to an even split, which is what a coin flip looks like.

Reproducibility key (q#904371e2)

grammar: research_query.v2
normalization: archive_normalization.v1
feature library: feature_defs.v1
dataset revision: ce3b6253b51706f7a4c0e4a553e0dd67fcf76395dd1a8717eccda70dad520d60
query hash: 904371e25d4d177210a7c4800e3712c1f33751d0a990ef68e8bf7dd56193759b
scanned window: 2026-07-02T00:00:00.000Z to 2026-08-01T00:00:00.000Z (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",
        "cotiusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-07-02T00:00:00.000Z",
          "2026-08-01T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","cotiusdt"],["times.anchor_time","between",["2026-07-02T00:00:00.000Z","2026-08-01T00:00:00.000Z"]]]},"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 COTIUSDT right now: the COTIUSDT research page