MMTUSDT · recorded history

One-sided tape: sellers on MMTUSDT

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 MMTUSDT itself
Inspect MMTUSDT now or at a past minute
Its recorded moves
MMTUSDT market events and replays
Test it on MMTUSDT, 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: 50.4% · 180 of 357 minutes
Other minutes: 51.3% · 16,696 of 32,564 minutes

Price touched −10% or lower

When this held: 8.1% · 29 of 357 minutes
Other minutes: 17.5% · 5,684 of 32,564 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 357 of 372 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 12 a day, on 28 of 31 days: spread through the record rather than one event.

Over the full record

Every recorded day on MMTUSDT, 2026-05-15 to 2026-08-07: reached +5% in 421 of 867 (48.6%); fell to −10% in 50 of 867 (5.8%), 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	371	368	357
Too recent	1	4	15
+1% or more	132 (35.6%)	237 (64.4%)	322 (90.2%)
+2% or more	44 (11.9%)	139 (37.8%)	279 (78.2%)
+5% or more	2 (0.5%)	31 (8.4%)	180 (50.4%)
+10% or more	0 (0.0%)	5 (1.4%)	49 (13.7%)
+15% or more	0 (0.0%)	2 (0.5%)	26 (7.3%)
+20% or more	0 (0.0%)	1 (0.3%)	22 (6.2%)
−1% or lower	136 (36.7%)	246 (66.8%)	305 (85.4%)
−2% or lower	37 (10.0%)	147 (39.9%)	253 (70.9%)
−5% or lower	1 (0.3%)	18 (4.9%)	118 (33.1%)
−10% or lower	0 (0.0%)	0 (0.0%)	29 (8.1%)
−15% or lower	0 (0.0%)	0 (0.0%)	2 (0.6%)

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	881	878	867
Too recent	5	8	19
+1% or more	300 (34.1%)	567 (64.6%)	782 (90.2%)
+2% or more	105 (11.9%)	351 (40.0%)	675 (77.9%)
+5% or more	8 (0.9%)	82 (9.3%)	421 (48.6%)
+10% or more	0 (0.0%)	8 (0.9%)	151 (17.4%)
+15% or more	0 (0.0%)	3 (0.3%)	67 (7.7%)
+20% or more	0 (0.0%)	1 (0.1%)	38 (4.4%)
−1% or lower	300 (34.1%)	562 (64.0%)	739 (85.2%)
−2% or lower	79 (9.0%)	313 (35.6%)	607 (70.0%)
−5% or lower	5 (0.6%)	37 (4.2%)	257 (29.6%)
−10% or lower	0 (0.0%)	4 (0.5%)	50 (5.8%)
−15% or lower	0 (0.0%)	0 (0.0%)	11 (1.3%)

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. 357 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 357 with a complete 24 hours.

Price 30 minutes laterForward 30-minute returns across 370 matches: close to an even split, which is what a coin flip looks like. 2 too recent.

How to read a distribution

Matches per UTC day

8 Jul15 matches
9 Jul14 matches
10 Jul9 matches
11 Jul8 matches
12 Jul10 matches
13 Jul17 matches
14 Jul16 matches
15 Jul14 matches
16 Jul16 matches
17 Jul13 matches
18 Jul17 matches
19 Jul16 matches
20 Jul16 matches
21 Jul16 matches
22 Jul18 matches
23 Jul16 matches
24 Jul19 matches
25 Jul17 matches
26 Jul17 matches
27 Jul15 matches
28 Jul11 matches
29 Jul11 matches
30 Jul6 matches
31 Jul2 matches
1 Aug8 matches
2 Aug11 matches
3 Aug10 matches
4 Aug14 matches
5 Aug0 matches
6 Aug0 matches
7 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 40,321 eligible market-minutes (eligible_symbol_buckets) on MMTUSDT, 2026-07-08 00:00 to 2026-08-07 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#dc5875b9)

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: 2f157bbdb91d341d09d9341ea73c8ceeeeee8acbe51e910f3b77fb76954ba6be
query hash: dc5875b90c2f4967d1019174715d3a2096e5f8dbb3f9b15f1e36111ee1e59113
scanned window: 2026-07-08T00:00:00.000Z to 2026-08-07T00:00:00.000Z (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",
        "mmtusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-07-08T00:00:00.000Z",
          "2026-08-07T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","mmtusdt"],["times.anchor_time","between",["2026-07-08T00:00:00.000Z","2026-08-07T00:00:00.000Z"]]]},"sort":["times.anchor_time","desc"],"page":{"limit":50,"cursor":null}}'

One-sided tape: sellers on MMTUSDT

Read it in context

Read MMTUSDT itself

Its recorded moves

Test it on MMTUSDT, then plan it

What happened in the next 24 hours?

Price touched +5% or higher

Price touched −10% or lower

Over the full record