GRVTUSDT · recorded history

One-sided tape: sellers on GRVTUSDT

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 GRVTUSDT itself

  2. Its recorded moves

  3. Test it on GRVTUSDT, 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
74.1% · 60 of 81 minutes
Other minutes
61.7% · 13,168 of 21,341 minutes

Price touched −10% or lower

When this held
17.3% · 14 of 81 minutes
Other minutes
26.6% · 5,676 of 21,341 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 81 of 88 matches with a full 24 hours after them. The 7 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, 2026-07-19 to 2026-08-18

About 2.8 a day, on 17 of 31 days: spread through the record rather than one event.

Over the full record

Every recorded day on GRVTUSDT, 2026-05-15 to 2026-08-14: reached +5% in 46 of 63 (73.0%); fell to −10% in 9 of 63 (14.3%), 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
Measured878681
Too recent127
+0.1% or more84 (96.6%)85 (98.8%)81 (100.0%)
+0.2% or more80 (92.0%)82 (95.3%)81 (100.0%)
+0.5% or more67 (77.0%)79 (91.9%)80 (98.8%)
+1% or more50 (57.5%)74 (86.0%)79 (97.5%)
+2% or more24 (27.6%)50 (58.1%)70 (86.4%)
+5% or more4 (4.6%)18 (20.9%)60 (74.1%)
+10% or more2 (2.3%)5 (5.8%)36 (44.4%)
+15% or more1 (1.1%)3 (3.5%)25 (30.9%)
+20% or more1 (1.1%)3 (3.5%)18 (22.2%)
+30% or more1 (1.1%)3 (3.5%)15 (18.5%)
−0.1% or lower83 (95.4%)86 (100.0%)81 (100.0%)
−0.2% or lower81 (93.1%)84 (97.7%)80 (98.8%)
−0.5% or lower58 (66.7%)73 (84.9%)77 (95.1%)
−1% or lower37 (42.5%)55 (64.0%)68 (84.0%)
−2% or lower20 (23.0%)34 (39.5%)56 (69.1%)
−5% or lower3 (3.4%)10 (11.6%)27 (33.3%)
−10% or lower0 (0.0%)1 (1.2%)14 (17.3%)
−15% or lower0 (0.0%)0 (0.0%)4 (4.9%)

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
Measured686663
Too recent025
+1% or more42 (61.8%)58 (87.9%)61 (96.8%)
+2% or more19 (27.9%)40 (60.6%)54 (85.7%)
+5% or more4 (5.9%)17 (25.8%)46 (73.0%)
+10% or more2 (2.9%)5 (7.6%)36 (57.1%)
+15% or more1 (1.5%)3 (4.5%)25 (39.7%)
+20% or more1 (1.5%)3 (4.5%)18 (28.6%)
−1% or lower30 (44.1%)41 (62.1%)50 (79.4%)
−2% or lower15 (22.1%)25 (37.9%)41 (65.1%)
−5% or lower3 (4.4%)9 (13.6%)19 (30.2%)
−10% or lower0 (0.0%)1 (1.5%)9 (14.3%)
−15% or lower0 (0.0%)0 (0.0%)4 (6.3%)

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. 81 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. 81 with a complete 24 hours.
Price 30 minutes laterForward 30-minute returnForward 30-minute returns across 87 matches: close to an even split, which is what a coin flip looks like. 1 too recent.

How to read a distribution

Matches per UTC day

  • 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 Jul1 match
  • 1 Aug4 matches
  • 2 Aug8 matches
  • 3 Aug10 matches
  • 4 Aug11 matches
  • 5 Aug5 matches
  • 6 Aug10 matches
  • 7 Aug3 matches
  • 8 Aug4 matches
  • 9 Aug4 matches
  • 10 Aug1 match
  • 11 Aug2 matches
  • 12 Aug5 matches
  • 13 Aug6 matches
  • 14 Aug3 matches
  • 15 Aug4 matches
  • 16 Aug7 matches
  • 17 Aug0 matches
  • 18 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 23,685 eligible market-minutes (eligible_symbol_buckets) on GRVTUSDT, 2026-07-19 00:00 to 2026-08-18 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#d9effd1b)

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
93f4a48f23680b7042060b509b00d6126427a1da879d83ff84a42d20d1de5ad6
query hash
d9effd1b4be369a46cf69b1c8c4e818eeaa3b89927006c5c8610143ef6ef4cd1
scanned window
2026-07-19T00:00:00.000Z to 2026-08-18T00:00:00.000Z (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",
        "grvtusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-07-19T00:00:00.000Z",
          "2026-08-18T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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.taker_buy_ratio_15m","lte",0.38],["identity.symbol","eq","grvtusdt"],["times.anchor_time","between",["2026-07-19T00:00:00.000Z","2026-08-18T00:00:00.000Z"]]]},"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.