Live condition · historical base rate

Funding deeply negative into settlement

Funding is at or below -1% with 30 minutes or less to the next settlement.

What is funding?

Firing now (provisional, current bucket)

The live read is not yet enabled. This surface reports the historical base rates below; the firing-now list turns on when the live evaluator is connected.

What has happened when it held

Historically, when Funding deeply negative into settlement held (51 occurrences in the scanned window, 48 with a computable 24h horizon), the market reached +5% within 24h in 29 of 48 (60.4) and drew down 10%+ in 28 of 48 (58.3). Maximum favorable (MFE) and maximum adverse (MAE) excursions, both computed forward.

Outcome distribution

WHAT FOLLOWED · ALL 51 MATCHES

48 of 50 (96.0%) reached +0% or more within 1 hour · smallest move size with matches, picked for you

Pick a window and a move size: how often did a move at least that big follow?

WINDOWMOVE SIZE

🔒 Measured after every match, never by keeping winners. 50 of the matches have a complete 1 hour forward; the other 1 are too recent to know.

What are MFE and MAE?

Why 24 hours can show fewer than 1 hour: a match too recent for a complete 24 hours is left out of that count entirely, even if it already reached the level within 1 hour. The two counts cover different sets of matches.

When they happened - one bar per UTC day, all 51 matches
1005MATCHES PER UTC DAY · MAX 10 ON 2026-09-132114114112112110672308-2408-3109-0709-142026-08-19 TO 2026-09-18 · 31 UTC DAYS · ZERO DAYS KEEP THEIR SLOT

About 1.6 a day, on 19 of 31 days: spread through the record rather than one event.

Where the next 30 minutes landed - 51 measured, 0 too recent
≥ +0: 16 OF 5129107421113443≤−100−5−2−1−0.5−0.2<00++0.1+0.2+0.5+1+2+5≥+400

Forward 30-minute returns across 51 matches: 67% of them finished down.

How to read a distribution
Upside reached · 24hUpside reached (MFE, 24h)The most price moved up within 24h of each occurrence: a high-water mark, never a close. 48 with a complete 24h.
Drawdown · 24hDrawdown (MAE, 24h)The worst price moved against within 24h of each occurrence: the deepest point, never the close. 48 with a complete 24h.

Versus baseline

Historically, when any eligible minute in the window (baseline) held (30,448,197 occurrences in the scanned window, 26,632,315 with a computable 24h horizon), the market reached +5% within 24h in 7,737,033 of 26,632,315 (29.1) and drew down 10%+ in 1,639,386 of 26,632,315 (6.2). Maximum favorable (MFE) and maximum adverse (MAE) excursions, both computed forward.

Check our work: the key that re-runs this exact count (q#0624dc5f)
grammar
research_query.v2
normalization
archive_normalization.v1
feature library
feature_defs.v1
dataset revision
8904ef0442c6f623ec772df2b59d7baf1e49aaa808b5b11ac31546605549e3bb
query hash
0624dc5f2fe580a20678ec51ebbf3d88e04f62100d112bc4b15c2745fb8057af
scanned window
2026-08-19T00:00:00.000Z to 2026-09-18T00:00:00.000Z (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 yourself, over the API or from an AI agent

This is the exact search definition behind the receipt. 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.funding_rate",
        "lte",
        -0.01
      ],
      [
        "feature.mins_to_funding",
        "lte",
        30
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-08-19T00:00:00.000Z",
          "2026-09-18T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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.funding_rate","lte",-0.01],["feature.mins_to_funding","lte",30],["times.anchor_time","between",["2026-08-19T00:00:00.000Z","2026-09-18T00:00:00.000Z"]]]},"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.