EULUSDT · recorded history

One-sided tape: buyers on EULUSDT

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

Read it in context

  1. Read EULUSDT itself

  2. Test it on EULUSDT, 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?

Both moves were less common than on minutes without it.

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
31.1% · 104 of 334 minutes
Other minutes
42.8% · 14,115 of 32,964 minutes

Price touched −10% or lower

When this held
2.4% · 8 of 334 minutes
Other minutes
16.9% · 5,568 of 32,964 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

Rates use the 334 of 347 matches with a full 24 hours after them. The 13 newer ones are left out, not counted as zero.

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, 2026-07-06 to 2026-08-05

About 11 a day, on 28 of 31 days: spread through the record rather than one event.

Over the full record

Every recorded day on EULUSDT, 2026-05-15 to 2026-08-05: reached +5% in 246 of 756 (32.5%); fell to −10% in 13 of 756 (1.7%), 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
Measured340340334
Too recent7713
+1% or more83 (24.4%)172 (50.6%)269 (80.5%)
+2% or more29 (8.5%)91 (26.8%)214 (64.1%)
+5% or more3 (0.9%)24 (7.1%)104 (31.1%)
+10% or more1 (0.3%)7 (2.1%)39 (11.7%)
+15% or more0 (0.0%)6 (1.8%)29 (8.7%)
+20% or more0 (0.0%)4 (1.2%)27 (8.1%)
−1% or lower70 (20.6%)172 (50.6%)272 (81.4%)
−2% or lower15 (4.4%)74 (21.8%)207 (62.0%)
−5% or lower0 (0.0%)7 (2.1%)38 (11.4%)
−10% or lower0 (0.0%)3 (0.9%)8 (2.4%)
−15% or lower0 (0.0%)0 (0.0%)2 (0.6%)

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
Measured762762756
Too recent111117
+1% or more216 (28.3%)438 (57.5%)640 (84.7%)
+2% or more77 (10.1%)243 (31.9%)534 (70.6%)
+5% or more4 (0.5%)40 (5.2%)246 (32.5%)
+10% or more1 (0.1%)7 (0.9%)57 (7.5%)
+15% or more0 (0.0%)6 (0.8%)38 (5.0%)
+20% or more0 (0.0%)4 (0.5%)27 (3.6%)
−1% or lower205 (26.9%)421 (55.2%)619 (81.9%)
−2% or lower43 (5.6%)191 (25.1%)481 (63.6%)
−5% or lower1 (0.1%)18 (2.4%)133 (17.6%)
−10% or lower0 (0.0%)3 (0.4%)13 (1.7%)
−15% or lower0 (0.0%)0 (0.0%)2 (0.3%)

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. 334 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. 334 with a complete 24 hours.
Price 30 minutes laterForward 30-minute returnForward 30-minute returns across 329 matches: close to an even split, which is what a coin flip looks like. 18 too recent.

How to read a distribution

Matches per UTC day

  • 6 Jul17 matches
  • 7 Jul16 matches
  • 8 Jul17 matches
  • 9 Jul17 matches
  • 10 Jul18 matches
  • 11 Jul16 matches
  • 12 Jul17 matches
  • 13 Jul15 matches
  • 14 Jul15 matches
  • 15 Jul17 matches
  • 16 Jul18 matches
  • 17 Jul17 matches
  • 18 Jul17 matches
  • 19 Jul17 matches
  • 20 Jul16 matches
  • 21 Jul14 matches
  • 22 Jul14 matches
  • 23 Jul13 matches
  • 24 Jul14 matches
  • 25 Jul3 matches
  • 26 Jul0 matches
  • 27 Jul3 matches
  • 28 Jul5 matches
  • 29 Jul1 match
  • 30 Jul6 matches
  • 31 Jul5 matches
  • 1 Aug5 matches
  • 2 Aug8 matches
  • 3 Aug6 matches
  • 4 Aug0 matches
  • 5 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 EULUSDT, 2026-07-06 00:00 to 2026-08-05 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#342e4659)

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
21e2232e3af8e94636f13b3ba6651434c2154f4bcf548c7ea9840512a888497c
query hash
342e4659ff93f4cb203eba9371388dd25101052ed67c87b99c6e8e5916b28fb4
scanned window
2026-07-06T00:00:00.000Z to 2026-08-05T00:00:00.000Z (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.taker_buy_ratio_15m",
        "gte",
        0.62
      ],
      [
        "identity.symbol",
        "eq",
        "eulusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-07-06T00:00:00.000Z",
          "2026-08-05T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","eulusdt"],["times.anchor_time","between",["2026-07-06T00:00:00.000Z","2026-08-05T00:00:00.000Z"]]]},"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.