SKYAIUSDT · recorded history

One-sided tape: buyers on SKYAIUSDT

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 SKYAIUSDT itself
Inspect SKYAIUSDT now or at a past minute
Its recorded moves
SKYAIUSDT market events and replays
Test it on SKYAIUSDT, 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: 42.6% · 103 of 242 minutes
Other minutes: 58.0% · 18,897 of 32,577 minutes

Price touched −10% or lower

When this held: 8.7% · 21 of 242 minutes
Other minutes: 14.9% · 4,862 of 32,577 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 242 of 243 matches with a full 24 hours after them. The 1 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 7.8 a day, on 22 of 31 days: spread through the record rather than one event.

Over the full record

Every recorded day on SKYAIUSDT, 2026-05-15 to 2026-08-13: reached +5% in 238 of 487 (48.9%); fell to −10% in 140 of 487 (28.7%), 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	243	242	242
Too recent	0	1	1
+1% or more	98 (40.3%)	168 (69.4%)	218 (90.1%)
+2% or more	41 (16.9%)	115 (47.5%)	181 (74.8%)
+5% or more	3 (1.2%)	24 (9.9%)	103 (42.6%)
+10% or more	0 (0.0%)	5 (2.1%)	45 (18.6%)
+15% or more	0 (0.0%)	1 (0.4%)	24 (9.9%)
+20% or more	0 (0.0%)	0 (0.0%)	19 (7.9%)
−1% or lower	89 (36.6%)	163 (67.4%)	208 (86.0%)
−2% or lower	18 (7.4%)	86 (35.5%)	170 (70.2%)
−5% or lower	0 (0.0%)	8 (3.3%)	81 (33.5%)
−10% or lower	0 (0.0%)	2 (0.8%)	21 (8.7%)
−15% or lower	0 (0.0%)	0 (0.0%)	12 (5.0%)
−20% or lower	0 (0.0%)	0 (0.0%)	4 (1.7%)

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	488	487	487
Too recent	1	2	2
+1% or more	238 (48.8%)	357 (73.3%)	445 (91.4%)
+2% or more	113 (23.2%)	253 (52.0%)	381 (78.2%)
+5% or more	16 (3.3%)	82 (16.8%)	238 (48.9%)
+10% or more	2 (0.4%)	17 (3.5%)	116 (23.8%)
+15% or more	1 (0.2%)	5 (1.0%)	67 (13.8%)
+20% or more	1 (0.2%)	4 (0.8%)	50 (10.3%)
−1% or lower	238 (48.8%)	372 (76.4%)	445 (91.4%)
−2% or lower	101 (20.7%)	249 (51.1%)	390 (80.1%)
−5% or lower	18 (3.7%)	85 (17.5%)	271 (55.6%)
−10% or lower	4 (0.8%)	25 (5.1%)	140 (28.7%)
−15% or lower	0 (0.0%)	7 (1.4%)	95 (19.5%)
−20% or lower	0 (0.0%)	5 (1.0%)	64 (13.1%)

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. 242 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 242 with a complete 24 hours.

Price 30 minutes laterForward 30-minute returns across 243 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

14 Jul14 matches
15 Jul7 matches
16 Jul7 matches
17 Jul5 matches
18 Jul14 matches
19 Jul11 matches
20 Jul8 matches
21 Jul16 matches
22 Jul11 matches
23 Jul12 matches
24 Jul14 matches
25 Jul14 matches
26 Jul9 matches
27 Jul13 matches
28 Jul17 matches
29 Jul15 matches
30 Jul12 matches
31 Jul18 matches
1 Aug14 matches
2 Aug9 matches
3 Aug2 matches
4 Aug0 matches
5 Aug0 matches
6 Aug0 matches
7 Aug0 matches
8 Aug1 match
9 Aug0 matches
10 Aug0 matches
11 Aug0 matches
12 Aug0 matches
13 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 37,441 eligible market-minutes (eligible_symbol_buckets) on SKYAIUSDT, 2026-07-14 00:00 to 2026-08-13 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#1feab027)

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: 61bfec1f11b1a5446c9ed1d61d79e19aa54fcfe26ecebe03e8fa5a90013f3b17
query hash: 1feab027c5415c2fc27ebb84b9fef16ec9b5d5bc19a0bcf03cd08cf941bd12fd
scanned window: 2026-07-14T00:00:00.000Z to 2026-08-13T00:00:00.000Z (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",
        "skyaiusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-07-14T00:00:00.000Z",
          "2026-08-13T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","skyaiusdt"],["times.anchor_time","between",["2026-07-14T00:00:00.000Z","2026-08-13T00:00:00.000Z"]]]},"sort":["times.anchor_time","desc"],"page":{"limit":50,"cursor":null}}'

One-sided tape: buyers on SKYAIUSDT

Read it in context

Read SKYAIUSDT itself

Its recorded moves

Test it on SKYAIUSDT, then plan it

What happened in the next 24 hours?

Price touched +5% or higher

Price touched −10% or lower

Over the full record