TACUSDT · recorded history

One-sided tape: buyers on TACUSDT

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 TACUSDT itself

  2. Its recorded moves

  3. Test it on TACUSDT, 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?

Both moves were less common than on minutes 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
28.9% · 96 of 332 minutes
Other minutes
42.8% · 14,704 of 34,348 minutes

Price touched −10% or lower

When this held
13.6% · 45 of 332 minutes
Other minutes
22.6% · 7,758 of 34,348 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 332 of 350 matches with a full 24 hours after them. The 18 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, 2026-08-03 to 2026-09-02

About 11 a day, on 25 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
Measured346344332
Too recent4618
+0.1% or more306 (88.4%)322 (93.6%)322 (97.0%)
+0.2% or more287 (82.9%)314 (91.3%)317 (95.5%)
+0.5% or more189 (54.6%)262 (76.2%)294 (88.6%)
+1% or more105 (30.3%)200 (58.1%)267 (80.4%)
+2% or more33 (9.5%)89 (25.9%)195 (58.7%)
+5% or more4 (1.2%)25 (7.3%)96 (28.9%)
+10% or more0 (0.0%)5 (1.5%)54 (16.3%)
+15% or more0 (0.0%)2 (0.6%)15 (4.5%)
+20% or more0 (0.0%)2 (0.6%)13 (3.9%)
+30% or more0 (0.0%)0 (0.0%)10 (3.0%)
+50% or more0 (0.0%)0 (0.0%)7 (2.1%)
−0.1% or lower318 (91.9%)333 (96.8%)331 (99.7%)
−0.2% or lower293 (84.7%)320 (93.0%)328 (98.8%)
−0.5% or lower213 (61.6%)283 (82.3%)318 (95.8%)
−1% or lower120 (34.7%)224 (65.1%)298 (89.8%)
−2% or lower31 (9.0%)115 (33.4%)260 (78.3%)
−5% or lower3 (0.9%)22 (6.4%)125 (37.7%)
−10% or lower1 (0.3%)7 (2.0%)45 (13.6%)
−15% or lower1 (0.3%)6 (1.7%)31 (9.3%)
−20% or lower1 (0.3%)3 (0.9%)18 (5.4%)
−30% or lower0 (0.0%)3 (0.9%)18 (5.4%)
−50% or lower0 (0.0%)3 (0.9%)18 (5.4%)

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. 332 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. 332 with a complete 24 hours.
Price 30 minutes laterForward 30-minute returnForward 30-minute returns across 344 matches: close to an even split, which is what a coin flip looks like. 6 too recent.

How to read a distribution

Matches per UTC day

  • 3 Aug17 matches
  • 4 Aug14 matches
  • 5 Aug14 matches
  • 6 Aug17 matches
  • 7 Aug16 matches
  • 8 Aug16 matches
  • 9 Aug17 matches
  • 10 Aug16 matches
  • 11 Aug14 matches
  • 12 Aug19 matches
  • 13 Aug10 matches
  • 14 Aug13 matches
  • 15 Aug15 matches
  • 16 Aug18 matches
  • 17 Aug13 matches
  • 18 Aug15 matches
  • 19 Aug10 matches
  • 20 Aug17 matches
  • 21 Aug16 matches
  • 22 Aug15 matches
  • 23 Aug3 matches
  • 24 Aug9 matches
  • 25 Aug0 matches
  • 26 Aug0 matches
  • 27 Aug0 matches
  • 28 Aug0 matches
  • 29 Aug8 matches
  • 30 Aug13 matches
  • 31 Aug15 matches
  • 1 Sep0 matches
  • 2 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 41,761 eligible market-minutes (eligible_symbol_buckets) on TACUSDT, 2026-08-03 00:00 to 2026-09-02 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#e0a50154)

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
a281b19feb65387cbcc986dba2832ad561add153e773e9c458b2553723b1e470
query hash
e0a5015457e223e4073236c815ad60779fb24473d502e77955c94511926230e3
scanned window
2026-08-03T00:00:00.000Z to 2026-09-02T00:00:00.000Z (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",
        "tacusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-08-03T00:00:00.000Z",
          "2026-09-02T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","tacusdt"],["times.anchor_time","between",["2026-08-03T00:00:00.000Z","2026-09-02T00:00:00.000Z"]]]},"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.