BLUAIUSDT · recorded history

One-sided tape: sellers on BLUAIUSDT

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 BLUAIUSDT itself
Inspect BLUAIUSDT now or at a past minute
Its recorded moves
BLUAIUSDT market events and replays
Test it on BLUAIUSDT, 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?

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: 43.8% · 151 of 345 minutes
Other minutes: 50.9% · 16,974 of 33,337 minutes

Price touched −10% or lower

When this held: 9.9% · 34 of 345 minutes
Other minutes: 20.4% · 6,809 of 33,337 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 345 of 360 matches with a full 24 hours after them. The 15 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 12 a day, on 29 of 31 days: spread through the record rather than one event.

Over the full record

Every recorded day on BLUAIUSDT, 2026-05-15 to 2026-08-14: reached +5% in 435 of 913 (47.6%); fell to −10% in 114 of 913 (12.5%), 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.
Move	1 hour	4 hours	24 hours
Measured	358	356	345
Too recent	2	4	15
+0.1% or more	331 (92.5%)	345 (96.9%)	342 (99.1%)
+0.2% or more	302 (84.4%)	333 (93.5%)	339 (98.3%)
+0.5% or more	217 (60.6%)	300 (84.3%)	336 (97.4%)
+1% or more	129 (36.0%)	244 (68.5%)	319 (92.5%)
+2% or more	54 (15.1%)	155 (43.5%)	279 (80.9%)
+5% or more	8 (2.2%)	29 (8.1%)	151 (43.8%)
+10% or more	3 (0.8%)	8 (2.2%)	68 (19.7%)
+15% or more	2 (0.6%)	6 (1.7%)	42 (12.2%)
+20% or more	1 (0.3%)	3 (0.8%)	25 (7.2%)
+30% or more	1 (0.3%)	3 (0.8%)	19 (5.5%)
+50% or more	0 (0.0%)	3 (0.8%)	19 (5.5%)
+100% or more	0 (0.0%)	0 (0.0%)	4 (1.2%)
−0.1% or lower	314 (87.7%)	339 (95.2%)	339 (98.3%)
−0.2% or lower	291 (81.3%)	332 (93.3%)	336 (97.4%)
−0.5% or lower	213 (59.5%)	287 (80.6%)	316 (91.6%)
−1% or lower	111 (31.0%)	212 (59.6%)	281 (81.4%)
−2% or lower	36 (10.1%)	108 (30.3%)	224 (64.9%)
−5% or lower	4 (1.1%)	19 (5.3%)	120 (34.8%)
−10% or lower	1 (0.3%)	2 (0.6%)	34 (9.9%)
−15% or lower	1 (0.3%)	1 (0.3%)	7 (2.0%)
−20% or lower	1 (0.3%)	1 (0.3%)	7 (2.0%)

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.
Move	1 hour	4 hours	24 hours
Measured	921	919	913
Too recent	3	5	11
+1% or more	344 (37.4%)	638 (69.4%)	845 (92.6%)
+2% or more	155 (16.8%)	423 (46.0%)	757 (82.9%)
+5% or more	27 (2.9%)	104 (11.3%)	435 (47.6%)
+10% or more	5 (0.5%)	31 (3.4%)	223 (24.4%)
+15% or more	2 (0.2%)	12 (1.3%)	92 (10.1%)
+20% or more	1 (0.1%)	5 (0.5%)	67 (7.3%)
−1% or lower	340 (36.9%)	585 (63.7%)	785 (86.0%)
−2% or lower	123 (13.4%)	336 (36.6%)	652 (71.4%)
−5% or lower	23 (2.5%)	78 (8.5%)	338 (37.0%)
−10% or lower	5 (0.5%)	14 (1.5%)	114 (12.5%)
−15% or lower	4 (0.4%)	7 (0.8%)	53 (5.8%)
−20% or lower	3 (0.3%)	5 (0.5%)	41 (4.5%)

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. 345 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 345 with a complete 24 hours.

Price 30 minutes laterForward 30-minute returns across 358 matches: close to an even split, which is what a coin flip looks like. 2 too recent.

How to read a distribution

Matches per UTC day

18 Jul12 matches
19 Jul14 matches
20 Jul14 matches
21 Jul15 matches
22 Jul16 matches
23 Jul12 matches
24 Jul11 matches
25 Jul15 matches
26 Jul14 matches
27 Jul17 matches
28 Jul14 matches
29 Jul18 matches
30 Jul15 matches
31 Jul17 matches
1 Aug16 matches
2 Aug17 matches
3 Aug19 matches
4 Aug18 matches
5 Aug13 matches
6 Aug14 matches
7 Aug13 matches
8 Aug2 matches
9 Aug3 matches
10 Aug5 matches
11 Aug1 match
12 Aug8 matches
13 Aug4 matches
14 Aug10 matches
15 Aug13 matches
16 Aug0 matches
17 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 BLUAIUSDT, 2026-07-18 00:00 to 2026-08-17 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#ad839326)

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: b49b614681261e550f26db551c43d7bbb8a19c4343c6163b1de13cdc0e2fbf5f
query hash: ad839326b97e2635ca90361c46f7c02100065b2d1a476c9783226496b7993bfc
scanned window: 2026-07-18T00:00:00.000Z to 2026-08-17T00:00:00.000Z (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",
        "bluaiusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-07-18T00:00:00.000Z",
          "2026-08-17T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","bluaiusdt"],["times.anchor_time","between",["2026-07-18T00:00:00.000Z","2026-08-17T00:00:00.000Z"]]]},"sort":["times.anchor_time","desc"],"page":{"limit":50,"cursor":null}}'

One-sided tape: sellers on BLUAIUSDT

Read it in context

Read BLUAIUSDT itself

Its recorded moves

Test it on BLUAIUSDT, then plan it

What happened in the next 24 hours?

Price touched +5% or higher

Price touched −10% or lower

Over the full record