GWEIUSDT · recorded history

Crowd long, leaders not on GWEIUSDT

Global accounts sit at least 65% long while top traders run at least 10 points less long than the crowd.

Read it in context

  1. Read GWEIUSDT itself

  2. Its recorded moves

  3. Test it on GWEIUSDT, then plan it

    A tested result leads to Plan a trade, which measures what trading it would have paid after costs.

What happened in the next 24 hours?

Other minutes are the same markets and dates without this condition. Each percentage is the share of measured minutes that reached that move from the starting price.

Price touched +5% or higher

When this held
9 of 22, too few for a rate
Other minutes
55.2% · 21,627 of 39,185 minutes

Price touched −10% or lower

When this held
13 of 22, too few for a rate
Other minutes
43.6% · 17,075 of 39,185 minutes

Price can touch both levels within the same 24 hours.

This counts how often price touched a level, not what trading it would have paid.

Sample and counting

All 22 matches have a full 24 hours after them.

Every condition is measured over the same 24 hours, whatever the length of its own reading. Other windows and move sizes shows shorter and longer windows.

When it happened
Matches per UTC day, 2026-07-15 to 2026-08-14

About 0.7 a day over 31 days, but 2026-08-11 alone holds 41% of them: this is close to a single episode.

Over the full record

Every recorded day on GWEIUSDT, 2026-05-15 to 2026-08-14: reached +5% in 9 of 22, too few for a rate; fell to −10% in 13 of 22, too few for a rate, within 24 hours.

Other windows and move sizes
Matches that reached each move within each window. Counts first; the measured row is what each rate is over.
Move1 hour4 hours24 hours
Measured222222
Too recent000
+1% or more131617
+2% or more61117
+5% or more149
+10% or more013
−1% or lower191922
−2% or lower141822
−5% or lower3820
−10% or lower1513
−15% or lower028
−20% or lower003

Each window counts only matches old enough for it, so a longer window can show fewer.

Full record: other windows and move sizes
Matches that reached each move within each window. Counts first; the measured row is what each rate is over.
Move1 hour4 hours24 hours
Measured222222
Too recent000
+1% or more131617
+2% or more61117
+5% or more149
+10% or more013
−1% or lower191922
−2% or lower141822
−5% or lower3820
−10% or lower1513
−15% or lower028
−20% or lower003

Each window counts only matches old enough for it, so a longer window can show fewer.

Distributions and daily counts
Upside reached · 24hUpside reached (MFE, 24h)The most price moved up within 24 hours of each match: a high-water mark, never a close. 22 with a complete 24 hours.
Drawdown · 24hDrawdown (MAE, 24h)The worst price moved against within 24 hours of each match: the deepest point, never the close. 22 with a complete 24 hours.
Price 30 minutes laterForward 30-minute returnForward 30-minute returns across 22 matches: 64% of them finished down. 0 too recent.

How to read a distribution

Matches per UTC day

  • 15 Jul0 matches
  • 16 Jul0 matches
  • 17 Jul0 matches
  • 18 Jul0 matches
  • 19 Jul0 matches
  • 20 Jul0 matches
  • 21 Jul0 matches
  • 22 Jul0 matches
  • 23 Jul0 matches
  • 24 Jul0 matches
  • 25 Jul0 matches
  • 26 Jul0 matches
  • 27 Jul0 matches
  • 28 Jul0 matches
  • 29 Jul0 matches
  • 30 Jul0 matches
  • 31 Jul0 matches
  • 1 Aug0 matches
  • 2 Aug0 matches
  • 3 Aug0 matches
  • 4 Aug0 matches
  • 5 Aug0 matches
  • 6 Aug0 matches
  • 7 Aug0 matches
  • 8 Aug2 matches
  • 9 Aug6 matches
  • 10 Aug5 matches
  • 11 Aug9 matches
  • 12 Aug0 matches
  • 13 Aug0 matches
  • 14 Aug0 matches
How this is counted
  • Each rate counts only matches with the full window after them.
  • A minute where a reading was missing is left out and reported, not read as zero.
  • The condition picks the setup, never the outcome: a definition that filters on what followed is rejected (OUTCOME_IN_PREDICATE). Every match is measured, winners and losers alike.
  • "Other minutes" is every other eligible minute in the same market and window. It is a reference, not a control group.
  • "Reached +5%" uses the highest price inside the window (maximum favourable excursion, MFE); "fell to −10%" uses the lowest (maximum adverse excursion, MAE). Neither is the close.
  • Checked 41,761 eligible market-minutes (eligible_symbol_buckets) on GWEIUSDT, 2026-07-15 00:00 to 2026-08-14 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#b8bc100e)

The key that re-runs this exact count. Same key, same bytes; when the record grows, the dataset revision changes.

grammar
research_query.v2
normalization
archive_normalization.v1
feature library
feature_defs.v1
dataset revision
3f9230e34c0a14e16a7bb3035842c9f073de8c4cb679de6f70e64bbb2153d03a
query hash
b8bc100e78362029b289270a3d74cab083f4e78a8b83e06e472e95c17ca0df8f
scanned window
2026-07-15T00:00:00.000Z to 2026-08-14T00:00:00.000Z (UTC)

Re-run over the API

The exact search definition behind this count. 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.top_global_long_skew",
        "lte",
        -0.1
      ],
      [
        "feature.global_long_ratio",
        "gte",
        0.65
      ],
      [
        "identity.symbol",
        "eq",
        "gweiusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-07-15T00:00:00.000Z",
          "2026-08-14T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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.top_global_long_skew","lte",-0.1],["feature.global_long_ratio","gte",0.65],["identity.symbol","eq","gweiusdt"],["times.anchor_time","between",["2026-07-15T00:00:00.000Z","2026-08-14T00:00:00.000Z"]]]},"sort":["times.anchor_time","desc"],"page":{"limit":50,"cursor":null}}'

Past examples from the record, not a guarantee or a prediction. Nothing here is trading advice.