UAIUSDT · recorded history

One-sided tape: buyers on UAIUSDT

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 UAIUSDT itself
Inspect UAIUSDT now or at a past minute
Its recorded moves
UAIUSDT market events and replays
Test it on UAIUSDT, 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: 67.8% · 162 of 239 minutes
Other minutes: 72.9% · 28,352 of 38,912 minutes

Price touched −10% or lower

When this held: 18.0% · 43 of 239 minutes
Other minutes: 33.0% · 12,859 of 38,912 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 239 of 242 matches with a full 24 hours after them. The 3 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 27 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	242	242	239	227	221
Too recent	0	0	3	15	21
+0.1% or more	228 (94.2%)	237 (97.9%)	238 (99.6%)	227 (100.0%)	221 (100.0%)
+0.2% or more	212 (87.6%)	232 (95.9%)	236 (98.7%)	227 (100.0%)	221 (100.0%)
+0.5% or more	164 (67.8%)	218 (90.1%)	233 (97.5%)	227 (100.0%)	221 (100.0%)
+1% or more	99 (40.9%)	172 (71.1%)	224 (93.7%)	227 (100.0%)	221 (100.0%)
+2% or more	49 (20.2%)	124 (51.2%)	205 (85.8%)	227 (100.0%)	221 (100.0%)
+5% or more	12 (5.0%)	48 (19.8%)	162 (67.8%)	217 (95.6%)	221 (100.0%)
+10% or more	1 (0.4%)	23 (9.5%)	99 (41.4%)	154 (67.8%)	215 (97.3%)
+15% or more	0 (0.0%)	7 (2.9%)	61 (25.5%)	102 (44.9%)	184 (83.3%)
+20% or more	0 (0.0%)	3 (1.2%)	58 (24.3%)	91 (40.1%)	170 (76.9%)
+30% or more	0 (0.0%)	1 (0.4%)	42 (17.6%)	85 (37.4%)	168 (76.0%)
+50% or more	0 (0.0%)	0 (0.0%)	9 (3.8%)	59 (26.0%)	98 (44.3%)
+100% or more	0 (0.0%)	0 (0.0%)	0 (0.0%)	5 (2.2%)	59 (26.7%)
−0.1% or lower	227 (93.8%)	236 (97.5%)	236 (98.7%)	225 (99.1%)	219 (99.1%)
−0.2% or lower	208 (86.0%)	226 (93.4%)	234 (97.9%)	224 (98.7%)	219 (99.1%)
−0.5% or lower	156 (64.5%)	200 (82.6%)	225 (94.1%)	217 (95.6%)	214 (96.8%)
−1% or lower	99 (40.9%)	169 (69.8%)	215 (90.0%)	212 (93.4%)	214 (96.8%)
−2% or lower	42 (17.4%)	102 (42.1%)	186 (77.8%)	197 (86.8%)	210 (95.0%)
−5% or lower	7 (2.9%)	28 (11.6%)	81 (33.9%)	117 (51.5%)	164 (74.2%)
−10% or lower	4 (1.7%)	15 (6.2%)	43 (18.0%)	90 (39.6%)	145 (65.6%)
−15% or lower	1 (0.4%)	2 (0.8%)	35 (14.6%)	74 (32.6%)	130 (58.8%)
−20% or lower	1 (0.4%)	2 (0.8%)	19 (7.9%)	57 (25.1%)	110 (49.8%)
−30% or lower	0 (0.0%)	0 (0.0%)	0 (0.0%)	4 (1.8%)	2 (0.9%)

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. 239 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 239 with a complete 24 hours.

Price 30 minutes laterForward 30-minute returns across 242 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 Aug18 matches
15 Aug16 matches
16 Aug14 matches
17 Aug18 matches
18 Aug12 matches
19 Aug12 matches
20 Aug15 matches
21 Aug15 matches
22 Aug7 matches
23 Aug7 matches
24 Aug1 match
25 Aug2 matches
26 Aug14 matches
27 Aug14 matches
28 Aug10 matches
29 Aug16 matches
30 Aug4 matches
31 Aug4 matches
1 Sep9 matches
2 Sep0 matches
3 Sep4 matches
4 Sep5 matches
5 Sep4 matches
6 Sep1 match
7 Sep0 matches
8 Sep0 matches
9 Sep5 matches
10 Sep5 matches
11 Sep7 matches
12 Sep3 matches
13 Sep0 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 43,201 eligible market-minutes (eligible_symbol_buckets) on UAIUSDT, 2026-08-14 00:00 to 2026-09-13 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#7c7f9836)

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: 0848795c73770f58efd1b92d65553dd83603bcf23b7d9a5ff6b63224cb3eae10
query hash: 7c7f9836780c530da935395d93f8e894aa39d2d36a87cc634190ab872225308a
scanned window: 2026-08-14T00:00:00.000Z to 2026-09-13T00:00:00.000Z (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",
        "uaiusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-08-14T00:00:00.000Z",
          "2026-09-13T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","uaiusdt"],["times.anchor_time","between",["2026-08-14T00:00:00.000Z","2026-09-13T00:00:00.000Z"]]]},"sort":["times.anchor_time","desc"],"page":{"limit":50,"cursor":null}}'

One-sided tape: buyers on UAIUSDT

Read it in context

Read UAIUSDT itself

Its recorded moves

Test it on UAIUSDT, then plan it

What happened in the next 24 hours?

Price touched +5% or higher

Price touched −10% or lower