PROMUSDT · recorded history

One-sided tape: sellers on PROMUSDT

Taker buy ratio over the last 15 minutes has run at 0.38 or less: a persistently seller-heavy tape.

Read it in context

Read PROMUSDT itself
Inspect PROMUSDT now or at a past minute
Its recorded moves
PROMUSDT market events and replays
Test it on PROMUSDT, then plan it
A tested result leads to Plan a trade, which measures what trading it would have paid after costs.
Edit this test in Workbench

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: 73.5% · 183 of 249 minutes
Other minutes: 77.0% · 29,201 of 37,944 minutes

Price touched −10% or lower

When this held: 23.7% · 59 of 249 minutes
Other minutes: 36.5% · 13,844 of 37,944 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 249 of 265 matches with a full 24 hours after them. The 16 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

About 8.5 a day, on 28 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.
Move	1 hour	4 hours	24 hours	72 hours	7 days
Measured	265	262	249	233	216
Too recent	0	3	16	32	49
+0.1% or more	248 (93.6%)	253 (96.6%)	246 (98.8%)	233 (100.0%)	216 (100.0%)
+0.2% or more	236 (89.1%)	249 (95.0%)	245 (98.4%)	232 (99.6%)	216 (100.0%)
+0.5% or more	176 (66.4%)	219 (83.6%)	234 (94.0%)	229 (98.3%)	216 (100.0%)
+1% or more	110 (41.5%)	179 (68.3%)	220 (88.4%)	225 (96.6%)	216 (100.0%)
+2% or more	53 (20.0%)	133 (50.8%)	209 (83.9%)	219 (94.0%)	216 (100.0%)
+5% or more	19 (7.2%)	61 (23.3%)	183 (73.5%)	199 (85.4%)	214 (99.1%)
+10% or more	3 (1.1%)	28 (10.7%)	132 (53.0%)	173 (74.2%)	214 (99.1%)
+15% or more	1 (0.4%)	8 (3.1%)	86 (34.5%)	155 (66.5%)	212 (98.1%)
+20% or more	0 (0.0%)	6 (2.3%)	67 (26.9%)	147 (63.1%)	211 (97.7%)
+30% or more	0 (0.0%)	5 (1.9%)	54 (21.7%)	141 (60.5%)	202 (93.5%)
+50% or more	0 (0.0%)	2 (0.8%)	13 (5.2%)	110 (47.2%)	185 (85.6%)
+100% or more	0 (0.0%)	0 (0.0%)	0 (0.0%)	0 (0.0%)	80 (37.0%)
−0.1% or lower	249 (94.0%)	253 (96.6%)	246 (98.8%)	232 (99.6%)	216 (100.0%)
−0.2% or lower	232 (87.5%)	244 (93.1%)	242 (97.2%)	230 (98.7%)	215 (99.5%)
−0.5% or lower	183 (69.1%)	219 (83.6%)	231 (92.8%)	226 (97.0%)	212 (98.1%)
−1% or lower	113 (42.6%)	182 (69.5%)	210 (84.3%)	217 (93.1%)	205 (94.9%)
−2% or lower	55 (20.8%)	116 (44.3%)	189 (75.9%)	207 (88.8%)	197 (91.2%)
−5% or lower	5 (1.9%)	35 (13.4%)	133 (53.4%)	166 (71.2%)	169 (78.2%)
−10% or lower	1 (0.4%)	2 (0.8%)	59 (23.7%)	116 (49.8%)	129 (59.7%)
−15% or lower	0 (0.0%)	1 (0.4%)	19 (7.6%)	82 (35.2%)	96 (44.4%)
−20% or lower	0 (0.0%)	0 (0.0%)	14 (5.6%)	49 (21.0%)	67 (31.0%)
−30% or lower	0 (0.0%)	0 (0.0%)	0 (0.0%)	0 (0.0%)	1 (0.5%)

Each window counts only matches old enough for it, so a longer window can show fewer.

Distributions and daily counts

Upside reached · 24hThe most price moved up within 24 hours of each match: a high-water mark, never a close. 249 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 249 with a complete 24 hours.

Price 30 minutes laterForward 30-minute returns across 265 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

7 Aug17 matches
8 Aug16 matches
9 Aug17 matches
10 Aug15 matches
11 Aug9 matches
12 Aug0 matches
13 Aug5 matches
14 Aug5 matches
15 Aug15 matches
16 Aug15 matches
17 Aug15 matches
18 Aug14 matches
19 Aug13 matches
20 Aug16 matches
21 Aug6 matches
22 Aug12 matches
23 Aug11 matches
24 Aug1 match
25 Aug1 match
26 Aug3 matches
27 Aug1 match
28 Aug6 matches
29 Aug3 matches
30 Aug0 matches
31 Aug4 matches
1 Sep7 matches
2 Sep6 matches
3 Sep8 matches
4 Sep8 matches
5 Sep16 matches
6 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 PROMUSDT, 2026-08-07 00:00 to 2026-09-06 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#37686995)

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: efb3e60c9f99697194e7d2005a6dd78efc5a172ca26e43c53f20933e53416672
query hash: 3768699580228a68d98a3c4ca216ddaea6c53bd39f1105497c8c20f906a037b9
scanned window: 2026-08-07T00:00:00.000Z to 2026-09-06T00:00:00.000Z (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",
        "promusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-08-07T00:00:00.000Z",
          "2026-09-06T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","promusdt"],["times.anchor_time","between",["2026-08-07T00:00:00.000Z","2026-09-06T00:00:00.000Z"]]]},"sort":["times.anchor_time","desc"],"page":{"limit":50,"cursor":null}}'

One-sided tape: sellers on PROMUSDT

Read it in context

Read PROMUSDT itself

Its recorded moves

Test it on PROMUSDT, then plan it

What happened in the next 24 hours?

Price touched +5% or higher

Price touched −10% or lower