XMRUSDT · recorded history

One-sided tape: sellers on XMRUSDT

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 XMRUSDT itself

  2. Test it on XMRUSDT, 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?

This condition showed no clear difference for either move.

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% · 123 of 381 minutes
Other minutes
33.5% · 12,160 of 36,324 minutes

Price touched −10% or lower

When this held
1.3% · 5 of 381 minutes
Other minutes
1.0% · 371 of 36,324 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 381 of 392 matches with a full 24 hours after them. The 11 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, 2026-08-23 to 2026-09-22

About 13 a day, on 30 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 hours72 hours7 days
Measured391390381354301
Too recent12113891
+0.1% or more349 (89.3%)373 (95.6%)374 (98.2%)351 (99.2%)301 (100.0%)
+0.2% or more324 (82.9%)359 (92.1%)368 (96.6%)350 (98.9%)301 (100.0%)
+0.5% or more218 (55.8%)309 (79.2%)354 (92.9%)344 (97.2%)299 (99.3%)
+1% or more97 (24.8%)231 (59.2%)321 (84.3%)325 (91.8%)298 (99.0%)
+2% or more19 (4.9%)116 (29.7%)251 (65.9%)291 (82.2%)287 (95.3%)
+5% or more0 (0.0%)15 (3.8%)123 (32.3%)242 (68.4%)264 (87.7%)
+10% or more0 (0.0%)4 (1.0%)44 (11.5%)119 (33.6%)181 (60.1%)
+15% or more0 (0.0%)0 (0.0%)14 (3.7%)66 (18.6%)115 (38.2%)
+20% or more0 (0.0%)0 (0.0%)2 (0.5%)25 (7.1%)82 (27.2%)
+30% or more0 (0.0%)0 (0.0%)0 (0.0%)0 (0.0%)1 (0.3%)
−0.1% or lower353 (90.3%)370 (94.9%)372 (97.6%)349 (98.6%)298 (99.0%)
−0.2% or lower323 (82.6%)358 (91.8%)368 (96.6%)347 (98.0%)296 (98.3%)
−0.5% or lower225 (57.5%)299 (76.7%)340 (89.2%)332 (93.8%)287 (95.3%)
−1% or lower104 (26.6%)201 (51.5%)288 (75.6%)294 (83.1%)260 (86.4%)
−2% or lower17 (4.3%)87 (22.3%)220 (57.7%)247 (69.8%)234 (77.7%)
−5% or lower0 (0.0%)7 (1.8%)70 (18.4%)124 (35.0%)155 (51.5%)
−10% or lower0 (0.0%)0 (0.0%)5 (1.3%)6 (1.7%)13 (4.3%)

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. 381 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. 381 with a complete 24 hours.
Price 30 minutes laterForward 30-minute returnForward 30-minute returns across 392 matches: close to an even split, which is what a coin flip looks like. 0 too recent.

How to read a distribution

Matches per UTC day

  • 23 Aug13 matches
  • 24 Aug11 matches
  • 25 Aug12 matches
  • 26 Aug13 matches
  • 27 Aug14 matches
  • 28 Aug12 matches
  • 29 Aug13 matches
  • 30 Aug9 matches
  • 31 Aug14 matches
  • 1 Sep13 matches
  • 2 Sep13 matches
  • 3 Sep13 matches
  • 4 Sep11 matches
  • 5 Sep16 matches
  • 6 Sep14 matches
  • 7 Sep14 matches
  • 8 Sep13 matches
  • 9 Sep13 matches
  • 10 Sep16 matches
  • 11 Sep12 matches
  • 12 Sep14 matches
  • 13 Sep15 matches
  • 14 Sep13 matches
  • 15 Sep13 matches
  • 16 Sep15 matches
  • 17 Sep14 matches
  • 18 Sep11 matches
  • 19 Sep14 matches
  • 20 Sep13 matches
  • 21 Sep11 matches
  • 22 Sep0 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 43,201 eligible market-minutes (eligible_symbol_buckets) on XMRUSDT, 2026-08-23 00:00 to 2026-09-22 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#b28449bf)

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
85fdc316e9b72ff71f3d15a0e2c4eb0bef124ff6c049cc39416fbae85eb07e5b
query hash
b28449bf16991873adaf0480f73de634b85035bc2c4fc93dbdc9a5a1503623ea
scanned window
2026-08-23T00:00:00.000Z to 2026-09-22T00:00:00.000Z (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",
        "xmrusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-08-23T00:00:00.000Z",
          "2026-09-22T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","xmrusdt"],["times.anchor_time","between",["2026-08-23T00:00:00.000Z","2026-09-22T00:00:00.000Z"]]]},"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.