EVAAUSDT · recorded history

One-sided tape: sellers on EVAAUSDT

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

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: 23.7% · 84 of 354 minutes
Other minutes: 37.1% · 12,041 of 32,430 minutes

Price touched −10% or lower

When this held: 6.2% · 22 of 354 minutes
Other minutes: 15.4% · 5,007 of 32,430 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 354 of 362 matches with a full 24 hours after them. The 8 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 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	359	358	354	346	325
Too recent	3	4	8	16	37
+0.1% or more	320 (89.1%)	336 (93.9%)	346 (97.7%)	343 (99.1%)	322 (99.1%)
+0.2% or more	273 (76.0%)	310 (86.6%)	334 (94.4%)	336 (97.1%)	318 (97.8%)
+0.5% or more	167 (46.5%)	243 (67.9%)	305 (86.2%)	315 (91.0%)	307 (94.5%)
+1% or more	85 (23.7%)	173 (48.3%)	263 (74.3%)	284 (82.1%)	282 (86.8%)
+2% or more	23 (6.4%)	98 (27.4%)	195 (55.1%)	245 (70.8%)	256 (78.8%)
+5% or more	2 (0.6%)	14 (3.9%)	84 (23.7%)	164 (47.4%)	192 (59.1%)
+10% or more	2 (0.6%)	9 (2.5%)	35 (9.9%)	75 (21.7%)	113 (34.8%)
+15% or more	0 (0.0%)	2 (0.6%)	21 (5.9%)	47 (13.6%)	85 (26.2%)
+20% or more	0 (0.0%)	2 (0.6%)	18 (5.1%)	44 (12.7%)	82 (25.2%)
+30% or more	0 (0.0%)	2 (0.6%)	17 (4.8%)	44 (12.7%)	82 (25.2%)
+50% or more	0 (0.0%)	0 (0.0%)	9 (2.5%)	43 (12.4%)	78 (24.0%)
+100% or more	0 (0.0%)	0 (0.0%)	6 (1.7%)	38 (11.0%)	76 (23.4%)
+200% or more	0 (0.0%)	0 (0.0%)	0 (0.0%)	25 (7.2%)	55 (16.9%)
−0.1% or lower	315 (87.7%)	336 (93.9%)	350 (98.9%)	345 (99.7%)	325 (100.0%)
−0.2% or lower	279 (77.7%)	317 (88.5%)	343 (96.9%)	343 (99.1%)	325 (100.0%)
−0.5% or lower	199 (55.4%)	279 (77.9%)	332 (93.8%)	339 (98.0%)	325 (100.0%)
−1% or lower	85 (23.7%)	207 (57.8%)	315 (89.0%)	337 (97.4%)	324 (99.7%)
−2% or lower	33 (9.2%)	113 (31.6%)	275 (77.7%)	327 (94.5%)	322 (99.1%)
−5% or lower	1 (0.3%)	11 (3.1%)	126 (35.6%)	254 (73.4%)	293 (90.2%)
−10% or lower	0 (0.0%)	0 (0.0%)	22 (6.2%)	121 (35.0%)	236 (72.6%)
−15% or lower	0 (0.0%)	0 (0.0%)	1 (0.3%)	21 (6.1%)	146 (44.9%)
−20% or lower	0 (0.0%)	0 (0.0%)	0 (0.0%)	0 (0.0%)	33 (10.2%)

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. 354 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 354 with a complete 24 hours.

Price 30 minutes laterForward 30-minute returns across 359 matches: close to an even split, which is what a coin flip looks like. 3 too recent.

How to read a distribution

Matches per UTC day

4 Oct17 matches
5 Oct12 matches
6 Oct15 matches
7 Oct17 matches
8 Oct13 matches
9 Oct14 matches
10 Oct16 matches
11 Oct16 matches
12 Oct17 matches
13 Oct10 matches
14 Oct13 matches
15 Oct14 matches
16 Oct12 matches
17 Oct14 matches
18 Oct17 matches
19 Oct18 matches
20 Oct15 matches
21 Oct12 matches
22 Oct14 matches
23 Oct17 matches
24 Oct15 matches
25 Oct17 matches
26 Oct15 matches
27 Oct7 matches
28 Oct0 matches
29 Oct1 match
30 Oct2 matches
31 Oct6 matches
1 Nov6 matches
2 Nov0 matches
3 Nov0 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 41,714 eligible market-minutes (eligible_symbol_buckets) on EVAAUSDT, 2026-10-04 00:00 to 2026-11-03 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#9533893f)

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: de0f2ef50baf530a363ce0c08cc21c068b14c0b5cf13829e8ff800ee4b3f829f
query hash: 9533893f501a6b6f910737916ff2508020ce57c4ebd2852f9a26606b53cef879
scanned window: 2026-10-04T00:00:00.000Z to 2026-11-03T00:00:00.000Z (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",
        "evaausdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-10-04T00:00:00.000Z",
          "2026-11-03T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","evaausdt"],["times.anchor_time","between",["2026-10-04T00:00:00.000Z","2026-11-03T00:00:00.000Z"]]]},"sort":["times.anchor_time","desc"],"page":{"limit":50,"cursor":null}}'

One-sided tape: sellers on EVAAUSDT

Read it in context

Read EVAAUSDT itself

Its recorded moves

Test it on EVAAUSDT, then plan it

What happened in the next 24 hours?

Price touched +5% or higher

Price touched −10% or lower