MMTUSDT · recorded history

One-sided tape: buyers on MMTUSDT

Taker buy ratio over the last 15 minutes has run at 0.62 or more: a persistently buyer-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
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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: 49.4% · 165 of 334 minutes
Other minutes: 52.1% · 17,692 of 33,968 minutes

Price touched −10% or lower

When this held: 8.1% · 27 of 334 minutes
Other minutes: 17.0% · 5,763 of 33,968 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 334 of 349 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 11 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 386 of 815 (47.4%); fell to −10% in 51 of 815 (6.3%), 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	348	346	334
Too recent	1	3	15
+1% or more	140 (40.2%)	236 (68.2%)	294 (88.0%)
+2% or more	50 (14.4%)	143 (41.3%)	262 (78.4%)
+5% or more	4 (1.1%)	30 (8.7%)	165 (49.4%)
+10% or more	0 (0.0%)	7 (2.0%)	47 (14.1%)
+15% or more	0 (0.0%)	1 (0.3%)	29 (8.7%)
+20% or more	0 (0.0%)	1 (0.3%)	28 (8.4%)
−1% or lower	117 (33.6%)	221 (63.9%)	290 (86.8%)
−2% or lower	33 (9.5%)	127 (36.7%)	239 (71.6%)
−5% or lower	2 (0.6%)	11 (3.2%)	110 (32.9%)
−10% or lower	0 (0.0%)	0 (0.0%)	27 (8.1%)
−15% or lower	0 (0.0%)	0 (0.0%)	2 (0.6%)
−20% or lower	0 (0.0%)	0 (0.0%)	1 (0.3%)

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	829	827	815
Too recent	3	5	17
+1% or more	319 (38.5%)	544 (65.8%)	715 (87.7%)
+2% or more	124 (15.0%)	338 (40.9%)	629 (77.2%)
+5% or more	15 (1.8%)	88 (10.6%)	386 (47.4%)
+10% or more	1 (0.1%)	12 (1.5%)	145 (17.8%)
+15% or more	0 (0.0%)	1 (0.1%)	74 (9.1%)
+20% or more	0 (0.0%)	1 (0.1%)	48 (5.9%)
−1% or lower	285 (34.4%)	528 (63.8%)	696 (85.4%)
−2% or lower	83 (10.0%)	283 (34.2%)	563 (69.1%)
−5% or lower	6 (0.7%)	32 (3.9%)	253 (31.0%)
−10% or lower	0 (0.0%)	4 (0.5%)	51 (6.3%)
−15% or lower	0 (0.0%)	0 (0.0%)	12 (1.5%)
−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. 334 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 334 with a complete 24 hours.

Price 30 minutes laterForward 30-minute returns across 347 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 Jul12 matches
9 Jul14 matches
10 Jul11 matches
11 Jul8 matches
12 Jul12 matches
13 Jul14 matches
14 Jul14 matches
15 Jul13 matches
16 Jul15 matches
17 Jul15 matches
18 Jul17 matches
19 Jul14 matches
20 Jul15 matches
21 Jul13 matches
22 Jul19 matches
23 Jul17 matches
24 Jul17 matches
25 Jul12 matches
26 Jul13 matches
27 Jul17 matches
28 Jul15 matches
29 Jul13 matches
30 Jul8 matches
31 Jul1 match
1 Aug4 matches
2 Aug5 matches
3 Aug7 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#03156608)

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: 03156608bd2c29305400166b09a69388c650d1f57a244d5c872733290a3a5999
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",
        "gte",
        0.62
      ],
      [
        "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","gte",0.62],["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: buyers 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