APRUSDT · recorded history

One-sided tape: sellers on APRUSDT

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 APRUSDT itself
Inspect APRUSDT now or at a past minute
Its recorded moves
APRUSDT market events and replays
Test it on APRUSDT, 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: 48.5% · 162 of 334 minutes
Other minutes: 56.1% · 18,895 of 33,708 minutes

Price touched −10% or lower

When this held: 9.9% · 33 of 334 minutes
Other minutes: 25.1% · 8,472 of 33,708 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 334 of 350 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 11 a day, on 24 of 31 days: spread through the record rather than one event.

Over the full record

Every recorded day on APRUSDT, 2026-05-15 to 2026-08-14: reached +5% in 457 of 1,057 (43.2%); fell to −10% in 85 of 1,057 (8.0%), 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	348	346	334
Too recent	2	4	16
+0.1% or more	313 (89.9%)	332 (96.0%)	332 (99.4%)
+0.2% or more	286 (82.2%)	326 (94.2%)	331 (99.1%)
+0.5% or more	202 (58.0%)	284 (82.1%)	321 (96.1%)
+1% or more	106 (30.5%)	215 (62.1%)	294 (88.0%)
+2% or more	36 (10.3%)	119 (34.4%)	242 (72.5%)
+5% or more	8 (2.3%)	39 (11.3%)	162 (48.5%)
+10% or more	3 (0.9%)	20 (5.8%)	87 (26.0%)
+15% or more	3 (0.9%)	6 (1.7%)	47 (14.1%)
+20% or more	1 (0.3%)	3 (0.9%)	28 (8.4%)
+30% or more	0 (0.0%)	1 (0.3%)	22 (6.6%)
+50% or more	0 (0.0%)	1 (0.3%)	18 (5.4%)
+100% or more	0 (0.0%)	0 (0.0%)	12 (3.6%)
+200% or more	0 (0.0%)	0 (0.0%)	4 (1.2%)
−0.1% or lower	322 (92.5%)	335 (96.8%)	327 (97.9%)
−0.2% or lower	296 (85.1%)	325 (93.9%)	321 (96.1%)
−0.5% or lower	218 (62.6%)	295 (85.3%)	306 (91.6%)
−1% or lower	123 (35.3%)	219 (63.3%)	281 (84.1%)
−2% or lower	29 (8.3%)	120 (34.7%)	227 (68.0%)
−5% or lower	10 (2.9%)	28 (8.1%)	121 (36.2%)
−10% or lower	8 (2.3%)	19 (5.5%)	33 (9.9%)
−15% or lower	7 (2.0%)	17 (4.9%)	16 (4.8%)
−20% or lower	7 (2.0%)	17 (4.9%)	16 (4.8%)
−30% or lower	7 (2.0%)	14 (4.0%)	7 (2.1%)
−50% or lower	7 (2.0%)	14 (4.0%)	7 (2.1%)
−100% or lower	7 (2.0%)	14 (4.0%)	7 (2.1%)

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	1,061	1,061	1,057
Too recent	2	2	6
+1% or more	368 (34.7%)	682 (64.3%)	924 (87.4%)
+2% or more	138 (13.0%)	400 (37.7%)	770 (72.8%)
+5% or more	20 (1.9%)	102 (9.6%)	457 (43.2%)
+10% or more	4 (0.4%)	27 (2.5%)	174 (16.5%)
+15% or more	3 (0.3%)	7 (0.7%)	63 (6.0%)
+20% or more	1 (0.1%)	3 (0.3%)	24 (2.3%)
−1% or lower	354 (33.4%)	677 (63.8%)	943 (89.2%)
−2% or lower	92 (8.7%)	377 (35.5%)	774 (73.2%)
−5% or lower	6 (0.6%)	39 (3.7%)	367 (34.7%)
−10% or lower	1 (0.1%)	5 (0.5%)	85 (8.0%)
−15% or lower	0 (0.0%)	3 (0.3%)	32 (3.0%)
−20% or lower	0 (0.0%)	3 (0.3%)	18 (1.7%)

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. 334 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 334 with a complete 24 hours.

Price 30 minutes laterForward 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

23 Jul12 matches
24 Jul13 matches
25 Jul16 matches
26 Jul15 matches
27 Jul17 matches
28 Jul17 matches
29 Jul16 matches
30 Jul17 matches
31 Jul16 matches
1 Aug10 matches
2 Aug13 matches
3 Aug15 matches
4 Aug17 matches
5 Aug17 matches
6 Aug16 matches
7 Aug19 matches
8 Aug18 matches
9 Aug17 matches
10 Aug18 matches
11 Aug19 matches
12 Aug4 matches
13 Aug0 matches
14 Aug0 matches
15 Aug0 matches
16 Aug0 matches
17 Aug0 matches
18 Aug6 matches
19 Aug7 matches
20 Aug15 matches
21 Aug0 matches
22 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 APRUSDT, 2026-07-23 00:00 to 2026-08-22 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#950487d0)

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: cc038cea480cff4f2fb26b3a0b3994370be372ad17272686cc97807e3aa5669e
query hash: 950487d06cab535c4122c188a476bb4e4eedc90b9c5c357b3e5e65d6782e5fa6
scanned window: 2026-07-23T00:00:00.000Z to 2026-08-22T00:00:00.000Z (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",
        "aprusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-07-23T00:00:00.000Z",
          "2026-08-22T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","aprusdt"],["times.anchor_time","between",["2026-07-23T00:00:00.000Z","2026-08-22T00:00:00.000Z"]]]},"sort":["times.anchor_time","desc"],"page":{"limit":50,"cursor":null}}'

One-sided tape: sellers on APRUSDT

Read it in context

Read APRUSDT itself

Its recorded moves

Test it on APRUSDT, then plan it

What happened in the next 24 hours?

Price touched +5% or higher

Price touched −10% or lower

Over the full record