GIGGLEUSDT · recorded history

One-sided tape: sellers on GIGGLEUSDT

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

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: 28.2% · 113 of 400 minutes
Other minutes: 36.9% · 11,875 of 32,161 minutes

Price touched −10% or lower

When this held: 3.0% · 12 of 400 minutes
Other minutes: 12.1% · 3,892 of 32,161 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 400 of 415 matches with a full 24 hours after them. The 15 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 13 a day, on 28 of 31 days: spread through the record rather than one event.

Over the full record

Every recorded day on GIGGLEUSDT, 2026-05-15 to 2026-08-08: reached +5% in 245 of 910 (26.9%); fell to −10% in 16 of 910 (1.8%), 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	412	410	400
Too recent	3	5	15
+1% or more	79 (19.2%)	195 (47.6%)	305 (76.3%)
+2% or more	24 (5.8%)	82 (20.0%)	221 (55.3%)
+5% or more	5 (1.2%)	17 (4.1%)	113 (28.2%)
+10% or more	0 (0.0%)	5 (1.2%)	37 (9.3%)
+15% or more	0 (0.0%)	2 (0.5%)	21 (5.3%)
+20% or more	0 (0.0%)	2 (0.5%)	20 (5.0%)
−1% or lower	76 (18.4%)	185 (45.1%)	326 (81.5%)
−2% or lower	16 (3.9%)	87 (21.2%)	268 (67.0%)
−5% or lower	2 (0.5%)	8 (2.0%)	56 (14.0%)
−10% or lower	0 (0.0%)	3 (0.7%)	12 (3.0%)
−15% or lower	0 (0.0%)	0 (0.0%)	7 (1.8%)
−20% or lower	0 (0.0%)	0 (0.0%)	2 (0.5%)

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	922	920	910
Too recent	3	5	15
+1% or more	202 (21.9%)	466 (50.7%)	705 (77.5%)
+2% or more	57 (6.2%)	208 (22.6%)	512 (56.3%)
+5% or more	7 (0.8%)	31 (3.4%)	245 (26.9%)
+10% or more	0 (0.0%)	7 (0.8%)	71 (7.8%)
+15% or more	0 (0.0%)	2 (0.2%)	43 (4.7%)
+20% or more	0 (0.0%)	2 (0.2%)	23 (2.5%)
−1% or lower	183 (19.8%)	458 (49.8%)	740 (81.3%)
−2% or lower	50 (5.4%)	221 (24.0%)	591 (64.9%)
−5% or lower	6 (0.7%)	27 (2.9%)	172 (18.9%)
−10% or lower	0 (0.0%)	3 (0.3%)	16 (1.8%)
−15% or lower	0 (0.0%)	0 (0.0%)	7 (0.8%)
−20% or lower	0 (0.0%)	0 (0.0%)	2 (0.2%)

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. 400 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 400 with a complete 24 hours.

Price 30 minutes laterForward 30-minute returns across 409 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

9 Jul15 matches
10 Jul20 matches
11 Jul17 matches
12 Jul14 matches
13 Jul17 matches
14 Jul17 matches
15 Jul17 matches
16 Jul17 matches
17 Jul16 matches
18 Jul18 matches
19 Jul18 matches
20 Jul18 matches
21 Jul16 matches
22 Jul17 matches
23 Jul17 matches
24 Jul17 matches
25 Jul18 matches
26 Jul16 matches
27 Jul20 matches
28 Jul17 matches
29 Jul16 matches
30 Jul12 matches
31 Jul3 matches
1 Aug0 matches
2 Aug3 matches
3 Aug5 matches
4 Aug8 matches
5 Aug13 matches
6 Aug13 matches
7 Aug0 matches
8 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 GIGGLEUSDT, 2026-07-09 00:00 to 2026-08-08 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#fcd57be3)

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: 28acee8d0f123e535c8ba6325acd308c76bd0d511704f22e105e4b7842b6cb92
query hash: fcd57be3aa863b6792dcb8c5ae5cd4f717a26f470452368ccf099bb74b9b8ca4
scanned window: 2026-07-09T00:00:00.000Z to 2026-08-08T00:00:00.000Z (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",
        "giggleusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-07-09T00:00:00.000Z",
          "2026-08-08T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","giggleusdt"],["times.anchor_time","between",["2026-07-09T00:00:00.000Z","2026-08-08T00:00:00.000Z"]]]},"sort":["times.anchor_time","desc"],"page":{"limit":50,"cursor":null}}'

One-sided tape: sellers on GIGGLEUSDT

Read it in context

Read GIGGLEUSDT itself

Its recorded moves

Test it on GIGGLEUSDT, then plan it

What happened in the next 24 hours?

Price touched +5% or higher

Price touched −10% or lower

Over the full record