BEATUSDT · recorded history

One-sided tape: buyers on BEATUSDT

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

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Its recorded moves
BEATUSDT market events and replays
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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: 77.4% · 41 of 53 minutes
Other minutes: 73.3% · 29,248 of 39,918 minutes

Price touched −10% or lower

When this held: 47.2% · 25 of 53 minutes
Other minutes: 74.0% · 29,525 of 39,918 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 53 of 57 matches with a full 24 hours after them. The 4 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 1.8 a day, on 22 of 31 days: spread through the record rather than one event.

Over the full record

Every recorded day on BEATUSDT, 2026-05-15 to 2026-08-14: reached +5% in 172 of 258 (66.7%); fell to −10% in 60 of 258 (23.3%), 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	56	56	53
Too recent	1	1	4
+0.1% or more	53 (94.6%)	56 (100.0%)	53 (100.0%)
+0.2% or more	52 (92.9%)	55 (98.2%)	53 (100.0%)
+0.5% or more	49 (87.5%)	55 (98.2%)	53 (100.0%)
+1% or more	41 (73.2%)	51 (91.1%)	52 (98.1%)
+2% or more	24 (42.9%)	41 (73.2%)	51 (96.2%)
+5% or more	7 (12.5%)	26 (46.4%)	41 (77.4%)
+10% or more	2 (3.6%)	11 (19.6%)	35 (66.0%)
+15% or more	0 (0.0%)	6 (10.7%)	25 (47.2%)
+20% or more	0 (0.0%)	1 (1.8%)	15 (28.3%)
+30% or more	0 (0.0%)	0 (0.0%)	10 (18.9%)
+50% or more	0 (0.0%)	0 (0.0%)	2 (3.8%)
−0.1% or lower	53 (94.6%)	56 (100.0%)	53 (100.0%)
−0.2% or lower	52 (92.9%)	55 (98.2%)	53 (100.0%)
−0.5% or lower	49 (87.5%)	52 (92.9%)	51 (96.2%)
−1% or lower	32 (57.1%)	43 (76.8%)	46 (86.8%)
−2% or lower	19 (33.9%)	35 (62.5%)	40 (75.5%)
−5% or lower	5 (8.9%)	14 (25.0%)	33 (62.3%)
−10% or lower	0 (0.0%)	7 (12.5%)	25 (47.2%)
−15% or lower	0 (0.0%)	2 (3.6%)	20 (37.7%)
−20% or lower	0 (0.0%)	0 (0.0%)	14 (26.4%)
−30% or lower	0 (0.0%)	0 (0.0%)	8 (15.1%)

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	259	259	258
Too recent	0	0	1
+1% or more	156 (60.2%)	198 (76.4%)	231 (89.5%)
+2% or more	86 (33.2%)	151 (58.3%)	216 (83.7%)
+5% or more	17 (6.6%)	75 (29.0%)	172 (66.7%)
+10% or more	4 (1.5%)	24 (9.3%)	120 (46.5%)
+15% or more	0 (0.0%)	7 (2.7%)	83 (32.2%)
+20% or more	0 (0.0%)	1 (0.4%)	59 (22.9%)
−1% or lower	136 (52.5%)	188 (72.6%)	229 (88.8%)
−2% or lower	58 (22.4%)	126 (48.6%)	198 (76.7%)
−5% or lower	8 (3.1%)	38 (14.7%)	133 (51.6%)
−10% or lower	0 (0.0%)	7 (2.7%)	60 (23.3%)
−15% or lower	0 (0.0%)	1 (0.4%)	30 (11.6%)
−20% or lower	0 (0.0%)	0 (0.0%)	16 (6.2%)

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. 53 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 53 with a complete 24 hours.

Price 30 minutes laterForward 30-minute returns across 56 matches: close to an even split, which is what a coin flip looks like. 1 too recent.

How to read a distribution

Matches per UTC day

28 Jul3 matches
29 Jul1 match
30 Jul9 matches
31 Jul6 matches
1 Aug3 matches
2 Aug1 match
3 Aug2 matches
4 Aug3 matches
5 Aug4 matches
6 Aug0 matches
7 Aug2 matches
8 Aug4 matches
9 Aug1 match
10 Aug0 matches
11 Aug0 matches
12 Aug1 match
13 Aug2 matches
14 Aug1 match
15 Aug0 matches
16 Aug2 matches
17 Aug4 matches
18 Aug0 matches
19 Aug0 matches
20 Aug1 match
21 Aug0 matches
22 Aug1 match
23 Aug1 match
24 Aug2 matches
25 Aug3 matches
26 Aug0 matches
27 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 41,731 eligible market-minutes (eligible_symbol_buckets) on BEATUSDT, 2026-07-28 00:00 to 2026-08-27 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#dedb17c6)

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: 896a4727caf667cfa34cd73a7db512a14144336387da6c22d2f716650335af30
query hash: dedb17c6f1f6228aeef4363e2ff4be42528b04f79dfd82406b784855ba5c8598
scanned window: 2026-07-28T00:00:00.000Z to 2026-08-27T00:00:00.000Z (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",
        "beatusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-07-28T00:00:00.000Z",
          "2026-08-27T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","beatusdt"],["times.anchor_time","between",["2026-07-28T00:00:00.000Z","2026-08-27T00:00:00.000Z"]]]},"sort":["times.anchor_time","desc"],"page":{"limit":50,"cursor":null}}'

One-sided tape: buyers on BEATUSDT

Read it in context

Read BEATUSDT itself

Its recorded moves

Test it on BEATUSDT, then plan it

What happened in the next 24 hours?

Price touched +5% or higher

Price touched −10% or lower

Over the full record