BRUSDT · recorded history

One-sided tape: sellers on BRUSDT

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 BRUSDT itself
Inspect BRUSDT now or at a past minute
Its recorded moves
BRUSDT market events and replays
Test it on BRUSDT, then plan it
A tested result leads to Plan a trade, which measures what trading it would have paid after costs.
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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: 48.6% · 108 of 222 minutes
Other minutes: 65.1% · 25,139 of 38,594 minutes

Price touched −10% or lower

When this held: 21.2% · 47 of 222 minutes
Other minutes: 44.5% · 17,167 of 38,594 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 222 of 229 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

About 7.4 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.
Move	1 hour	4 hours	24 hours	72 hours	7 days
Measured	228	228	222	221	211
Too recent	1	1	7	8	18
+0.1% or more	218 (95.6%)	224 (98.2%)	219 (98.6%)	218 (98.6%)	211 (100.0%)
+0.2% or more	201 (88.2%)	218 (95.6%)	217 (97.7%)	217 (98.2%)	211 (100.0%)
+0.5% or more	154 (67.5%)	195 (85.5%)	205 (92.3%)	211 (95.5%)	211 (100.0%)
+1% or more	104 (45.6%)	169 (74.1%)	192 (86.5%)	204 (92.3%)	211 (100.0%)
+2% or more	51 (22.4%)	111 (48.7%)	164 (73.9%)	191 (86.4%)	210 (99.5%)
+5% or more	10 (4.4%)	40 (17.5%)	108 (48.6%)	168 (76.0%)	200 (94.8%)
+10% or more	2 (0.9%)	16 (7.0%)	75 (33.8%)	146 (66.1%)	192 (91.0%)
+15% or more	1 (0.4%)	5 (2.2%)	63 (28.4%)	139 (62.9%)	191 (90.5%)
+20% or more	0 (0.0%)	2 (0.9%)	50 (22.5%)	120 (54.3%)	187 (88.6%)
+30% or more	0 (0.0%)	1 (0.4%)	32 (14.4%)	101 (45.7%)	181 (85.8%)
+50% or more	0 (0.0%)	1 (0.4%)	24 (10.8%)	85 (38.5%)	162 (76.8%)
+100% or more	0 (0.0%)	0 (0.0%)	10 (4.5%)	40 (18.1%)	82 (38.9%)
+200% or more	0 (0.0%)	0 (0.0%)	2 (0.9%)	6 (2.7%)	39 (18.5%)
+400% or more	0 (0.0%)	0 (0.0%)	0 (0.0%)	0 (0.0%)	15 (7.1%)
−0.1% or lower	211 (92.5%)	220 (96.5%)	218 (98.2%)	219 (99.1%)	210 (99.5%)
−0.2% or lower	197 (86.4%)	213 (93.4%)	215 (96.8%)	217 (98.2%)	208 (98.6%)
−0.5% or lower	150 (65.8%)	192 (84.2%)	207 (93.2%)	213 (96.4%)	206 (97.6%)
−1% or lower	100 (43.9%)	167 (73.2%)	195 (87.8%)	206 (93.2%)	201 (95.3%)
−2% or lower	41 (18.0%)	114 (50.0%)	170 (76.6%)	186 (84.2%)	185 (87.7%)
−5% or lower	6 (2.6%)	27 (11.8%)	109 (49.1%)	136 (61.5%)	149 (70.6%)
−10% or lower	0 (0.0%)	3 (1.3%)	47 (21.2%)	93 (42.1%)	123 (58.3%)
−15% or lower	0 (0.0%)	0 (0.0%)	26 (11.7%)	49 (22.2%)	88 (41.7%)
−20% or lower	0 (0.0%)	0 (0.0%)	4 (1.8%)	34 (15.4%)	49 (23.2%)
−30% or lower	0 (0.0%)	0 (0.0%)	0 (0.0%)	5 (2.3%)	3 (1.4%)

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. 222 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 222 with a complete 24 hours.

Price 30 minutes laterForward 30-minute returns across 229 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

29 Aug17 matches
30 Aug18 matches
31 Aug16 matches
1 Sep16 matches
2 Sep16 matches
3 Sep4 matches
4 Sep9 matches
5 Sep14 matches
6 Sep13 matches
7 Sep11 matches
8 Sep13 matches
9 Sep4 matches
10 Sep12 matches
11 Sep15 matches
12 Sep16 matches
13 Sep10 matches
14 Sep0 matches
15 Sep4 matches
16 Sep2 matches
17 Sep0 matches
18 Sep0 matches
19 Sep0 matches
20 Sep1 match
21 Sep3 matches
22 Sep1 match
23 Sep3 matches
24 Sep3 matches
25 Sep1 match
26 Sep0 matches
27 Sep7 matches
28 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 BRUSDT, 2026-08-29 00:00 to 2026-09-28 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#5bfb0a9e)

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: 1ae64ce77e69a0300bd06eb5096c5ef51d9816145d46f15da1e5e2bf02010153
query hash: 5bfb0a9e96961b22c4a45506d74ba98dd1c177e171fa10132463de1b55b3023b
scanned window: 2026-08-29T00:00:00.000Z to 2026-09-28T00:00:00.000Z (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",
        "brusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-08-29T00:00:00.000Z",
          "2026-09-28T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","brusdt"],["times.anchor_time","between",["2026-08-29T00:00:00.000Z","2026-09-28T00:00:00.000Z"]]]},"sort":["times.anchor_time","desc"],"page":{"limit":50,"cursor":null}}'

One-sided tape: sellers on BRUSDT

Read it in context

Read BRUSDT itself

Its recorded moves

Test it on BRUSDT, then plan it

What happened in the next 24 hours?

Price touched +5% or higher

Price touched −10% or lower