RIFUSDT · recorded history

One-sided tape: sellers on RIFUSDT

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 RIFUSDT itself

  2. Its recorded moves

  3. Test it on RIFUSDT, 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 less common than without it; falling to −10% was about as common as 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
46.2% · 104 of 225 minutes
Other minutes
60.8% · 23,196 of 38,134 minutes

Price touched −10% or lower

When this held
31.1% · 70 of 225 minutes
Other minutes
36.5% · 13,908 of 38,134 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 225 of 238 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, 2026-07-04 to 2026-08-03

About 7.7 a day, on 26 of 31 days: spread through the record rather than one event.

Over the full record

Every recorded day on RIFUSDT, 2026-05-15 to 2026-08-03: reached +5% in 270 of 519 (52.0%); fell to −10% in 154 of 519 (29.7%), 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
Measured237235225
Too recent1313
+1% or more113 (47.7%)164 (69.8%)196 (87.1%)
+2% or more54 (22.8%)106 (45.1%)171 (76.0%)
+5% or more6 (2.5%)40 (17.0%)104 (46.2%)
+10% or more0 (0.0%)11 (4.7%)65 (28.9%)
+15% or more0 (0.0%)6 (2.6%)41 (18.2%)
+20% or more0 (0.0%)6 (2.6%)23 (10.2%)
−1% or lower134 (56.5%)190 (80.9%)209 (92.9%)
−2% or lower54 (22.8%)140 (59.6%)202 (89.8%)
−5% or lower8 (3.4%)41 (17.4%)152 (67.6%)
−10% or lower2 (0.8%)11 (4.7%)70 (31.1%)
−15% or lower2 (0.8%)6 (2.6%)42 (18.7%)
−20% or lower1 (0.4%)3 (1.3%)31 (13.8%)

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
Measured531529519
Too recent2414
+1% or more288 (54.2%)397 (75.0%)458 (88.2%)
+2% or more132 (24.9%)281 (53.1%)411 (79.2%)
+5% or more18 (3.4%)89 (16.8%)270 (52.0%)
+10% or more0 (0.0%)21 (4.0%)162 (31.2%)
+15% or more0 (0.0%)7 (1.3%)107 (20.6%)
+20% or more0 (0.0%)7 (1.3%)79 (15.2%)
−1% or lower294 (55.4%)414 (78.3%)476 (91.7%)
−2% or lower129 (24.3%)312 (59.0%)449 (86.5%)
−5% or lower11 (2.1%)88 (16.6%)308 (59.3%)
−10% or lower2 (0.4%)13 (2.5%)154 (29.7%)
−15% or lower2 (0.4%)6 (1.1%)86 (16.6%)
−20% or lower1 (0.2%)3 (0.6%)47 (9.1%)

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. 225 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. 225 with a complete 24 hours.
Price 30 minutes laterForward 30-minute returnForward 30-minute returns across 237 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

  • 4 Jul11 matches
  • 5 Jul8 matches
  • 6 Jul4 matches
  • 7 Jul3 matches
  • 8 Jul8 matches
  • 9 Jul9 matches
  • 10 Jul9 matches
  • 11 Jul12 matches
  • 12 Jul11 matches
  • 13 Jul11 matches
  • 14 Jul14 matches
  • 15 Jul6 matches
  • 16 Jul9 matches
  • 17 Jul12 matches
  • 18 Jul12 matches
  • 19 Jul17 matches
  • 20 Jul18 matches
  • 21 Jul12 matches
  • 22 Jul0 matches
  • 23 Jul0 matches
  • 24 Jul0 matches
  • 25 Jul7 matches
  • 26 Jul5 matches
  • 27 Jul6 matches
  • 28 Jul3 matches
  • 29 Jul5 matches
  • 30 Jul4 matches
  • 31 Jul9 matches
  • 1 Aug13 matches
  • 2 Aug0 matches
  • 3 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 RIFUSDT, 2026-07-04 00:00 to 2026-08-03 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#98a9b091)

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
a52c6390738e56734585b736b0a1c739bca72cac3f87cca21db6d03ebdd35d64
query hash
98a9b091c51f40660a6386faad4a48e4bdbee574186d6be6e6f83d898ce3b2b9
scanned window
2026-07-04T00:00:00.000Z to 2026-08-03T00:00:00.000Z (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",
        "rifusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-07-04T00:00:00.000Z",
          "2026-08-03T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","rifusdt"],["times.anchor_time","between",["2026-07-04T00:00:00.000Z","2026-08-03T00:00:00.000Z"]]]},"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.