ZAMAUSDT · recorded history

One-sided tape: buyers on ZAMAUSDT

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

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: 37.4% · 139 of 372 minutes
Other minutes: 42.7% · 15,459 of 36,178 minutes

Price touched −10% or lower

When this held: 8.9% · 33 of 372 minutes
Other minutes: 12.0% · 4,333 of 36,178 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 372 of 383 matches with a full 24 hours after them. The 11 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 30 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	72 hours	7 days
Measured	383	381	372	368	320
Too recent	0	2	11	15	63
+0.1% or more	337 (88.0%)	358 (94.0%)	366 (98.4%)	364 (98.9%)	317 (99.1%)
+0.2% or more	303 (79.1%)	347 (91.1%)	363 (97.6%)	362 (98.4%)	315 (98.4%)
+0.5% or more	209 (54.6%)	288 (75.6%)	342 (91.9%)	355 (96.5%)	309 (96.6%)
+1% or more	114 (29.8%)	219 (57.5%)	320 (86.0%)	344 (93.5%)	299 (93.4%)
+2% or more	53 (13.8%)	125 (32.8%)	269 (72.3%)	331 (89.9%)	291 (90.9%)
+5% or more	9 (2.3%)	36 (9.4%)	139 (37.4%)	240 (65.2%)	251 (78.4%)
+10% or more	2 (0.5%)	9 (2.4%)	71 (19.1%)	152 (41.3%)	216 (67.5%)
+15% or more	1 (0.3%)	3 (0.8%)	46 (12.4%)	114 (31.0%)	160 (50.0%)
+20% or more	1 (0.3%)	3 (0.8%)	34 (9.1%)	88 (23.9%)	147 (45.9%)
+30% or more	0 (0.0%)	3 (0.8%)	12 (3.2%)	52 (14.1%)	62 (19.4%)
+50% or more	0 (0.0%)	0 (0.0%)	10 (2.7%)	42 (11.4%)	54 (16.9%)
+100% or more	0 (0.0%)	0 (0.0%)	0 (0.0%)	0 (0.0%)	26 (8.1%)
−0.1% or lower	353 (92.2%)	367 (96.3%)	364 (97.8%)	364 (98.9%)	320 (100.0%)
−0.2% or lower	313 (81.7%)	344 (90.3%)	358 (96.2%)	363 (98.6%)	320 (100.0%)
−0.5% or lower	224 (58.5%)	292 (76.6%)	337 (90.6%)	351 (95.4%)	319 (99.7%)
−1% or lower	113 (29.5%)	219 (57.5%)	312 (83.9%)	337 (91.6%)	313 (97.8%)
−2% or lower	40 (10.4%)	118 (31.0%)	246 (66.1%)	306 (83.2%)	298 (93.1%)
−5% or lower	3 (0.8%)	19 (5.0%)	101 (27.2%)	197 (53.5%)	223 (69.7%)
−10% or lower	1 (0.3%)	2 (0.5%)	33 (8.9%)	77 (20.9%)	126 (39.4%)
−15% or lower	1 (0.3%)	2 (0.5%)	14 (3.8%)	41 (11.1%)	92 (28.7%)
−20% or lower	0 (0.0%)	0 (0.0%)	0 (0.0%)	7 (1.9%)	29 (9.1%)

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. 372 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 372 with a complete 24 hours.

Price 30 minutes laterForward 30-minute returns across 383 matches: close to an even split, which is what a coin flip looks like. 0 too recent.

How to read a distribution

Matches per UTC day

24 Aug11 matches
25 Aug14 matches
26 Aug14 matches
27 Aug12 matches
28 Aug12 matches
29 Aug18 matches
30 Aug14 matches
31 Aug14 matches
1 Sep17 matches
2 Sep17 matches
3 Sep8 matches
4 Sep17 matches
5 Sep14 matches
6 Sep10 matches
7 Sep11 matches
8 Sep15 matches
9 Sep13 matches
10 Sep14 matches
11 Sep15 matches
12 Sep16 matches
13 Sep14 matches
14 Sep15 matches
15 Sep15 matches
16 Sep14 matches
17 Sep15 matches
18 Sep15 matches
19 Sep4 matches
20 Sep2 matches
21 Sep2 matches
22 Sep11 matches
23 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 43,201 eligible market-minutes (eligible_symbol_buckets) on ZAMAUSDT, 2026-08-24 00:00 to 2026-09-23 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#8f4d6564)

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: cb0cece4e4dfc52ea8d4e9fc99df38ed85b172559a26618815247132abe6d569
query hash: 8f4d6564e9eb6752d6b8f2ece27400954cb694314d84ba33fa5750d06ee094f5
scanned window: 2026-08-24T00:00:00.000Z to 2026-09-23T00:00:00.000Z (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",
        "zamausdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-08-24T00:00:00.000Z",
          "2026-09-23T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","zamausdt"],["times.anchor_time","between",["2026-08-24T00:00:00.000Z","2026-09-23T00:00:00.000Z"]]]},"sort":["times.anchor_time","desc"],"page":{"limit":50,"cursor":null}}'

One-sided tape: buyers on ZAMAUSDT

Read it in context

Read ZAMAUSDT itself

Its recorded moves

Test it on ZAMAUSDT, then plan it

What happened in the next 24 hours?

Price touched +5% or higher

Price touched −10% or lower