BTRUSDT · recorded history

One-sided tape: buyers on BTRUSDT

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 BTRUSDT itself

  2. Its recorded moves

  3. Test it on BTRUSDT, 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
67.2% · 158 of 235 minutes
Other minutes
75.0% · 28,841 of 38,431 minutes

Price touched −10% or lower

When this held
17.4% · 41 of 235 minutes
Other minutes
31.3% · 12,025 of 38,431 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 235 of 243 matches with a full 24 hours after them. The 8 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, 2026-08-09 to 2026-09-08

About 7.8 a day, on 29 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
Measured242241235219211
Too recent1282432
+0.1% or more221 (91.3%)231 (95.9%)233 (99.1%)219 (100.0%)211 (100.0%)
+0.2% or more203 (83.9%)222 (92.1%)231 (98.3%)218 (99.5%)211 (100.0%)
+0.5% or more163 (67.4%)209 (86.7%)229 (97.4%)218 (99.5%)211 (100.0%)
+1% or more114 (47.1%)182 (75.5%)219 (93.2%)218 (99.5%)211 (100.0%)
+2% or more48 (19.8%)120 (49.8%)205 (87.2%)215 (98.2%)211 (100.0%)
+5% or more8 (3.3%)44 (18.3%)158 (67.2%)200 (91.3%)209 (99.1%)
+10% or more4 (1.7%)15 (6.2%)76 (32.3%)116 (53.0%)169 (80.1%)
+15% or more3 (1.2%)10 (4.1%)49 (20.9%)94 (42.9%)150 (71.1%)
+20% or more1 (0.4%)7 (2.9%)44 (18.7%)93 (42.5%)146 (69.2%)
+30% or more1 (0.4%)5 (2.1%)28 (11.9%)68 (31.1%)118 (55.9%)
+50% or more0 (0.0%)4 (1.7%)25 (10.6%)52 (23.7%)107 (50.7%)
+100% or more0 (0.0%)1 (0.4%)12 (5.1%)32 (14.6%)86 (40.8%)
+200% or more0 (0.0%)0 (0.0%)10 (4.3%)30 (13.7%)82 (38.9%)
+400% or more0 (0.0%)0 (0.0%)0 (0.0%)25 (11.4%)76 (36.0%)
−0.1% or lower232 (95.9%)236 (97.9%)234 (99.6%)218 (99.5%)210 (99.5%)
−0.2% or lower219 (90.5%)230 (95.4%)233 (99.1%)218 (99.5%)210 (99.5%)
−0.5% or lower174 (71.9%)206 (85.5%)226 (96.2%)213 (97.3%)205 (97.2%)
−1% or lower110 (45.5%)171 (71.0%)211 (89.8%)201 (91.8%)194 (91.9%)
−2% or lower53 (21.9%)118 (49.0%)196 (83.4%)193 (88.1%)186 (88.2%)
−5% or lower7 (2.9%)34 (14.1%)144 (61.3%)162 (74.0%)166 (78.7%)
−10% or lower2 (0.8%)12 (5.0%)41 (17.4%)73 (33.3%)120 (56.9%)
−15% or lower1 (0.4%)5 (2.1%)28 (11.9%)62 (28.3%)114 (54.0%)
−20% or lower1 (0.4%)3 (1.2%)22 (9.4%)56 (25.6%)110 (52.1%)
−30% or lower0 (0.0%)0 (0.0%)4 (1.7%)9 (4.1%)8 (3.8%)
−50% or lower0 (0.0%)0 (0.0%)3 (1.3%)8 (3.7%)7 (3.3%)

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. 235 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. 235 with a complete 24 hours.
Price 30 minutes laterForward 30-minute returnForward 30-minute returns across 242 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

  • 9 Aug13 matches
  • 10 Aug12 matches
  • 11 Aug3 matches
  • 12 Aug5 matches
  • 13 Aug14 matches
  • 14 Aug14 matches
  • 15 Aug13 matches
  • 16 Aug15 matches
  • 17 Aug12 matches
  • 18 Aug15 matches
  • 19 Aug14 matches
  • 20 Aug16 matches
  • 21 Aug14 matches
  • 22 Aug13 matches
  • 23 Aug10 matches
  • 24 Aug9 matches
  • 25 Aug11 matches
  • 26 Aug1 match
  • 27 Aug0 matches
  • 28 Aug1 match
  • 29 Aug2 matches
  • 30 Aug1 match
  • 31 Aug3 matches
  • 1 Sep2 matches
  • 2 Sep1 match
  • 3 Sep2 matches
  • 4 Sep3 matches
  • 5 Sep6 matches
  • 6 Sep10 matches
  • 7 Sep8 matches
  • 8 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 BTRUSDT, 2026-08-09 00:00 to 2026-09-08 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#fa0d2658)

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
cbaead34c4193bce6fcd165b579f45236bd1961521f84932d458473d0a2bae69
query hash
fa0d2658f6d501169996a13a2c2b7058f60b35ce5fd283d1c1a3be6cd61ddf50
scanned window
2026-08-09T00:00:00.000Z to 2026-09-08T00:00:00.000Z (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",
        "btrusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-08-09T00:00:00.000Z",
          "2026-09-08T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","btrusdt"],["times.anchor_time","between",["2026-08-09T00:00:00.000Z","2026-09-08T00:00:00.000Z"]]]},"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.