TUTUSDT · recorded history

One-sided tape: sellers on TUTUSDT

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

This condition showed no clear difference for either move.

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: 76.0% · 76 of 100 minutes
Other minutes: 76.0% · 29,963 of 39,414 minutes

Price touched −10% or lower

When this held: 50.0% · 50 of 100 minutes
Other minutes: 60.8% · 23,964 of 39,414 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 100 of 109 matches with a full 24 hours after them. The 9 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 3.5 a day, on 22 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
Measured	109	107	100
Too recent	0	2	9
+0.1% or more	106 (97.2%)	106 (99.1%)	100 (100.0%)
+0.2% or more	100 (91.7%)	104 (97.2%)	99 (99.0%)
+0.5% or more	90 (82.6%)	95 (88.8%)	95 (95.0%)
+1% or more	72 (66.1%)	87 (81.3%)	92 (92.0%)
+2% or more	45 (41.3%)	73 (68.2%)	85 (85.0%)
+5% or more	16 (14.7%)	48 (44.9%)	76 (76.0%)
+10% or more	2 (1.8%)	27 (25.2%)	63 (63.0%)
+15% or more	0 (0.0%)	14 (13.1%)	50 (50.0%)
+20% or more	0 (0.0%)	5 (4.7%)	45 (45.0%)
+30% or more	0 (0.0%)	3 (2.8%)	39 (39.0%)
+50% or more	0 (0.0%)	1 (0.9%)	20 (20.0%)
+100% or more	0 (0.0%)	0 (0.0%)	4 (4.0%)
−0.1% or lower	104 (95.4%)	105 (98.1%)	98 (98.0%)
−0.2% or lower	103 (94.5%)	104 (97.2%)	98 (98.0%)
−0.5% or lower	90 (82.6%)	95 (88.8%)	92 (92.0%)
−1% or lower	69 (63.3%)	84 (78.5%)	90 (90.0%)
−2% or lower	43 (39.4%)	68 (63.6%)	80 (80.0%)
−5% or lower	10 (9.2%)	34 (31.8%)	67 (67.0%)
−10% or lower	2 (1.8%)	11 (10.3%)	50 (50.0%)
−15% or lower	1 (0.9%)	3 (2.8%)	37 (37.0%)
−20% or lower	0 (0.0%)	0 (0.0%)	21 (21.0%)
−30% or lower	0 (0.0%)	0 (0.0%)	2 (2.0%)

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. 100 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 100 with a complete 24 hours.

Price 30 minutes laterForward 30-minute returns across 109 matches: 55% of them finished up. 0 too recent.

How to read a distribution

Matches per UTC day

4 Aug9 matches
5 Aug2 matches
6 Aug11 matches
7 Aug4 matches
8 Aug0 matches
9 Aug0 matches
10 Aug1 match
11 Aug0 matches
12 Aug1 match
13 Aug0 matches
14 Aug0 matches
15 Aug2 matches
16 Aug5 matches
17 Aug3 matches
18 Aug1 match
19 Aug8 matches
20 Aug7 matches
21 Aug7 matches
22 Aug5 matches
23 Aug0 matches
24 Aug0 matches
25 Aug1 match
26 Aug3 matches
27 Aug3 matches
28 Aug9 matches
29 Aug5 matches
30 Aug4 matches
31 Aug9 matches
1 Sep9 matches
2 Sep0 matches
3 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 41,761 eligible market-minutes (eligible_symbol_buckets) on TUTUSDT, 2026-08-04 00:00 to 2026-09-03 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#07f52875)

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: a0a61813ae7ae9491bb4933f0ff4872c36c198b4a76f4671124cfe22ba5259c3
query hash: 07f52875471fb96a2c2aae0671f7ab6813761ca85ebf468546f22eeb3a0651c7
scanned window: 2026-08-04T00:00:00.000Z to 2026-09-03T00:00:00.000Z (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",
        "tutusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-08-04T00:00:00.000Z",
          "2026-09-03T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","tutusdt"],["times.anchor_time","between",["2026-08-04T00:00:00.000Z","2026-09-03T00:00:00.000Z"]]]},"sort":["times.anchor_time","desc"],"page":{"limit":50,"cursor":null}}'

One-sided tape: sellers on TUTUSDT

Read it in context

Read TUTUSDT itself

Its recorded moves

Test it on TUTUSDT, then plan it

What happened in the next 24 hours?

Price touched +5% or higher

Price touched −10% or lower