ZROUSDT · recorded history

One-sided tape: sellers on ZROUSDT

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

Read it in context

  1. Read ZROUSDT itself

  2. Its recorded moves

  3. Test it on ZROUSDT, 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?

Reaching +5% was about as common as without it; falling to −10% was less common than 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
32.3% · 115 of 356 minutes
Other minutes
37.2% · 12,203 of 32,770 minutes

Price touched −10% or lower

When this held
2.8% · 10 of 356 minutes
Other minutes
5.7% · 1,883 of 32,770 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 356 of 373 matches with a full 24 hours after them. The 17 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, 2026-07-31 to 2026-08-30

About 12 a day, on 28 of 31 days: spread through the record rather than one event.

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
Measured372371356
Too recent1217
+0.1% or more319 (85.8%)343 (92.5%)355 (99.7%)
+0.2% or more284 (76.3%)320 (86.3%)342 (96.1%)
+0.5% or more196 (52.7%)280 (75.5%)327 (91.9%)
+1% or more106 (28.5%)217 (58.5%)310 (87.1%)
+2% or more26 (7.0%)104 (28.0%)268 (75.3%)
+5% or more1 (0.3%)17 (4.6%)115 (32.3%)
+10% or more0 (0.0%)4 (1.1%)58 (16.3%)
+15% or more0 (0.0%)1 (0.3%)35 (9.8%)
+20% or more0 (0.0%)0 (0.0%)27 (7.6%)
−0.1% or lower334 (89.8%)355 (95.7%)351 (98.6%)
−0.2% or lower296 (79.6%)334 (90.0%)341 (95.8%)
−0.5% or lower177 (47.6%)257 (69.3%)317 (89.0%)
−1% or lower83 (22.3%)189 (50.9%)279 (78.4%)
−2% or lower17 (4.6%)71 (19.1%)178 (50.0%)
−5% or lower2 (0.5%)9 (2.4%)46 (12.9%)
−10% or lower1 (0.3%)1 (0.3%)10 (2.8%)
−15% or lower1 (0.3%)1 (0.3%)2 (0.6%)

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. 356 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. 356 with a complete 24 hours.
Price 30 minutes laterForward 30-minute returnForward 30-minute returns across 370 matches: close to an even split, which is what a coin flip looks like. 3 too recent.

How to read a distribution

Matches per UTC day

  • 31 Jul15 matches
  • 1 Aug18 matches
  • 2 Aug15 matches
  • 3 Aug13 matches
  • 4 Aug8 matches
  • 5 Aug14 matches
  • 6 Aug17 matches
  • 7 Aug14 matches
  • 8 Aug18 matches
  • 9 Aug16 matches
  • 10 Aug17 matches
  • 11 Aug15 matches
  • 12 Aug14 matches
  • 13 Aug15 matches
  • 14 Aug13 matches
  • 15 Aug14 matches
  • 16 Aug16 matches
  • 17 Aug12 matches
  • 18 Aug14 matches
  • 19 Aug10 matches
  • 20 Aug15 matches
  • 21 Aug11 matches
  • 22 Aug9 matches
  • 23 Aug1 match
  • 24 Aug13 matches
  • 25 Aug8 matches
  • 26 Aug0 matches
  • 27 Aug11 matches
  • 28 Aug17 matches
  • 29 Aug0 matches
  • 30 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 40,291 eligible market-minutes (eligible_symbol_buckets) on ZROUSDT, 2026-07-31 00:00 to 2026-08-30 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#23aec52f)

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
12cd52927b2c6850b23d893b96b9985188e803ef3a1a240cb12497c9392bfcb2
query hash
23aec52f69b17564fbb4ade9ca27fc1f7911fb02adff6a1b62246266c877302f
scanned window
2026-07-31T00:00:00.000Z to 2026-08-30T00:00:00.000Z (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",
        "lte",
        0.38
      ],
      [
        "identity.symbol",
        "eq",
        "zrousdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-07-31T00:00:00.000Z",
          "2026-08-30T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","zrousdt"],["times.anchor_time","between",["2026-07-31T00:00:00.000Z","2026-08-30T00:00:00.000Z"]]]},"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.