BLUAIUSDT · recorded history

One-sided tape: buyers on BLUAIUSDT

Taker buy ratio over the last 15 minutes has run at 0.62 or more: a persistently buyer-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?

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: 40.2% · 135 of 336 minutes
Other minutes: 50.8% · 17,350 of 34,153 minutes

Price touched −10% or lower

When this held: 8.9% · 30 of 336 minutes
Other minutes: 20.2% · 6,902 of 34,153 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 336 of 347 matches with a full 24 hours after them. The 11 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 11 a day, on 28 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 389 of 853 (45.6%); fell to −10% in 108 of 853 (12.7%), 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	346	345	336
Too recent	1	2	11
+0.1% or more	311 (89.9%)	332 (96.2%)	335 (99.7%)
+0.2% or more	273 (78.9%)	317 (91.9%)	333 (99.1%)
+0.5% or more	199 (57.5%)	275 (79.7%)	322 (95.8%)
+1% or more	120 (34.7%)	227 (65.8%)	306 (91.1%)
+2% or more	40 (11.6%)	135 (39.1%)	270 (80.4%)
+5% or more	9 (2.6%)	28 (8.1%)	135 (40.2%)
+10% or more	3 (0.9%)	12 (3.5%)	68 (20.2%)
+15% or more	3 (0.9%)	9 (2.6%)	40 (11.9%)
+20% or more	1 (0.3%)	4 (1.2%)	21 (6.3%)
+30% or more	1 (0.3%)	4 (1.2%)	18 (5.4%)
+50% or more	1 (0.3%)	3 (0.9%)	17 (5.1%)
+100% or more	0 (0.0%)	0 (0.0%)	2 (0.6%)
−0.1% or lower	319 (92.2%)	334 (96.8%)	332 (98.8%)
−0.2% or lower	293 (84.7%)	322 (93.3%)	331 (98.5%)
−0.5% or lower	209 (60.4%)	277 (80.3%)	314 (93.5%)
−1% or lower	115 (33.2%)	207 (60.0%)	281 (83.6%)
−2% or lower	41 (11.8%)	117 (33.9%)	230 (68.5%)
−5% or lower	7 (2.0%)	25 (7.2%)	111 (33.0%)
−10% or lower	1 (0.3%)	1 (0.3%)	30 (8.9%)
−15% or lower	1 (0.3%)	1 (0.3%)	3 (0.9%)
−20% or lower	0 (0.0%)	0 (0.0%)	3 (0.9%)
−30% or lower	0 (0.0%)	0 (0.0%)	2 (0.6%)
−50% or lower	0 (0.0%)	0 (0.0%)	2 (0.6%)

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	857	856	853
Too recent	6	7	10
+1% or more	313 (36.5%)	579 (67.6%)	797 (93.4%)
+2% or more	125 (14.6%)	364 (42.5%)	699 (81.9%)
+5% or more	27 (3.2%)	102 (11.9%)	389 (45.6%)
+10% or more	6 (0.7%)	34 (4.0%)	205 (24.0%)
+15% or more	3 (0.4%)	15 (1.8%)	95 (11.1%)
+20% or more	2 (0.2%)	6 (0.7%)	65 (7.6%)
−1% or lower	299 (34.9%)	533 (62.3%)	735 (86.2%)
−2% or lower	96 (11.2%)	299 (34.9%)	618 (72.5%)
−5% or lower	15 (1.8%)	69 (8.1%)	310 (36.3%)
−10% or lower	5 (0.6%)	14 (1.6%)	108 (12.7%)
−15% or lower	4 (0.5%)	10 (1.2%)	58 (6.8%)
−20% or lower	0 (0.0%)	7 (0.8%)	45 (5.3%)

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. 336 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 336 with a complete 24 hours.

Price 30 minutes laterForward 30-minute returns across 345 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 Jul12 matches
20 Jul16 matches
21 Jul13 matches
22 Jul14 matches
23 Jul14 matches
24 Jul15 matches
25 Jul19 matches
26 Jul17 matches
27 Jul17 matches
28 Jul17 matches
29 Jul12 matches
30 Jul18 matches
31 Jul17 matches
1 Aug13 matches
2 Aug15 matches
3 Aug14 matches
4 Aug11 matches
5 Aug11 matches
6 Aug14 matches
7 Aug15 matches
8 Aug4 matches
9 Aug0 matches
10 Aug3 matches
11 Aug1 match
12 Aug4 matches
13 Aug7 matches
14 Aug11 matches
15 Aug11 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#db0e17f2)

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: db0e17f2ac7f25c80650823bc9c1bf8343dea42d1a93f50b6ecb2125261b35a3
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",
        "gte",
        0.62
      ],
      [
        "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","gte",0.62],["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: buyers 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