HFTUSDT · recorded history

One-sided tape: sellers on HFTUSDT

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 HFTUSDT itself
Inspect HFTUSDT now or at a past minute
Its recorded moves
HFTUSDT market events and replays
Test it on HFTUSDT, 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: 31.5% · 140 of 445 minutes
Other minutes: 37.4% · 10,789 of 28,824 minutes

Price touched −10% or lower

When this held: 4.7% · 21 of 445 minutes
Other minutes: 6.1% · 1,768 of 28,824 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 445 of 450 matches with a full 24 hours after them. The 5 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 15 a day, on 28 of 31 days: spread through the record rather than one event.

Over the full record

Every recorded day on HFTUSDT, 2026-05-15 to 2026-08-08: reached +5% in 320 of 1,010 (31.7%); fell to −10% in 68 of 1,010 (6.7%), 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	445	445	445
Too recent	5	5	5
+1% or more	108 (24.3%)	242 (54.4%)	379 (85.2%)
+2% or more	38 (8.5%)	129 (29.0%)	310 (69.7%)
+5% or more	6 (1.3%)	27 (6.1%)	140 (31.5%)
+10% or more	2 (0.4%)	13 (2.9%)	41 (9.2%)
+15% or more	2 (0.4%)	8 (1.8%)	29 (6.5%)
+20% or more	1 (0.2%)	7 (1.6%)	21 (4.7%)
−1% or lower	97 (21.8%)	241 (54.2%)	360 (80.9%)
−2% or lower	20 (4.5%)	100 (22.5%)	272 (61.1%)
−5% or lower	3 (0.7%)	16 (3.6%)	81 (18.2%)
−10% or lower	1 (0.2%)	4 (0.9%)	21 (4.7%)
−15% or lower	1 (0.2%)	4 (0.9%)	20 (4.5%)
−20% or lower	1 (0.2%)	4 (0.9%)	20 (4.5%)

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	1,010	1,010	1,010
Too recent	10	10	10
+1% or more	292 (28.9%)	594 (58.8%)	851 (84.3%)
+2% or more	94 (9.3%)	327 (32.4%)	675 (66.8%)
+5% or more	13 (1.3%)	67 (6.6%)	320 (31.7%)
+10% or more	4 (0.4%)	22 (2.2%)	140 (13.9%)
+15% or more	2 (0.2%)	12 (1.2%)	76 (7.5%)
+20% or more	1 (0.1%)	7 (0.7%)	44 (4.4%)
−1% or lower	296 (29.3%)	604 (59.8%)	860 (85.1%)
−2% or lower	76 (7.5%)	293 (29.0%)	701 (69.4%)
−5% or lower	7 (0.7%)	45 (4.5%)	283 (28.0%)
−10% or lower	1 (0.1%)	5 (0.5%)	68 (6.7%)
−15% or lower	1 (0.1%)	4 (0.4%)	21 (2.1%)
−20% or lower	1 (0.1%)	4 (0.4%)	20 (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. 445 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 445 with a complete 24 hours.

Price 30 minutes laterForward 30-minute returns across 433 matches: close to an even split, which is what a coin flip looks like. 17 too recent.

How to read a distribution

Matches per UTC day

9 Jul15 matches
10 Jul18 matches
11 Jul17 matches
12 Jul16 matches
13 Jul19 matches
14 Jul16 matches
15 Jul16 matches
16 Jul19 matches
17 Jul17 matches
18 Jul18 matches
19 Jul17 matches
20 Jul17 matches
21 Jul18 matches
22 Jul14 matches
23 Jul16 matches
24 Jul20 matches
25 Jul17 matches
26 Jul18 matches
27 Jul17 matches
28 Jul17 matches
29 Jul17 matches
30 Jul17 matches
31 Jul16 matches
1 Aug17 matches
2 Aug18 matches
3 Aug16 matches
4 Aug6 matches
5 Aug1 match
6 Aug0 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 HFTUSDT, 2026-07-09 00:00 to 2026-08-08 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#593af27a)

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: 593af27aecc3416e31060e17e2c6ce79900982eba20054b2255ce41d5de5e359
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",
        "hftusdt"
      ],
      [
        "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","hftusdt"],["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 HFTUSDT

Read it in context

Read HFTUSDT itself

Its recorded moves

Test it on HFTUSDT, then plan it

What happened in the next 24 hours?

Price touched +5% or higher

Price touched −10% or lower

Over the full record