MOVRUSDT · recorded history

One-sided tape: sellers on MOVRUSDT

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 MOVRUSDT itself
Inspect MOVRUSDT now or at a past minute
Its recorded moves
MOVRUSDT market events and replays
Test it on MOVRUSDT, 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: 47.6% · 222 of 466 minutes
Other minutes: 48.9% · 16,431 of 33,573 minutes

Price touched −10% or lower

When this held: 5.8% · 27 of 466 minutes
Other minutes: 5.9% · 1,982 of 33,573 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

All 466 matches have a full 24 hours after them.

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 29 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	466	466	466	440	375
Too recent	0	0	0	26	91
+0.1% or more	421 (90.3%)	450 (96.6%)	463 (99.4%)	439 (99.8%)	375 (100.0%)
+0.2% or more	390 (83.7%)	434 (93.1%)	457 (98.1%)	437 (99.3%)	375 (100.0%)
+0.5% or more	286 (61.4%)	383 (82.2%)	440 (94.4%)	428 (97.3%)	375 (100.0%)
+1% or more	152 (32.6%)	303 (65.0%)	422 (90.6%)	424 (96.4%)	375 (100.0%)
+2% or more	45 (9.7%)	166 (35.6%)	358 (76.8%)	407 (92.5%)	372 (99.2%)
+5% or more	3 (0.6%)	30 (6.4%)	222 (47.6%)	369 (83.9%)	355 (94.7%)
+10% or more	1 (0.2%)	10 (2.1%)	76 (16.3%)	232 (52.7%)	289 (77.1%)
+15% or more	0 (0.0%)	1 (0.2%)	33 (7.1%)	146 (33.2%)	217 (57.9%)
+20% or more	0 (0.0%)	0 (0.0%)	23 (4.9%)	85 (19.3%)	161 (42.9%)
+30% or more	0 (0.0%)	0 (0.0%)	10 (2.1%)	23 (5.2%)	93 (24.8%)
+50% or more	0 (0.0%)	0 (0.0%)	7 (1.5%)	12 (2.7%)	14 (3.7%)
+100% or more	0 (0.0%)	0 (0.0%)	4 (0.9%)	1 (0.2%)	12 (3.2%)
−0.1% or lower	412 (88.4%)	441 (94.6%)	453 (97.2%)	431 (98.0%)	370 (98.7%)
−0.2% or lower	369 (79.2%)	431 (92.5%)	449 (96.4%)	430 (97.7%)	369 (98.4%)
−0.5% or lower	270 (57.9%)	377 (80.9%)	426 (91.4%)	418 (95.0%)	362 (96.5%)
−1% or lower	150 (32.2%)	287 (61.6%)	390 (83.7%)	391 (88.9%)	350 (93.3%)
−2% or lower	32 (6.9%)	145 (31.1%)	292 (62.7%)	327 (74.3%)	315 (84.0%)
−5% or lower	1 (0.2%)	12 (2.6%)	120 (25.8%)	185 (42.0%)	234 (62.4%)
−10% or lower	1 (0.2%)	3 (0.6%)	27 (5.8%)	81 (18.4%)	115 (30.7%)
−15% or lower	0 (0.0%)	0 (0.0%)	7 (1.5%)	33 (7.5%)	44 (11.7%)
−20% or lower	0 (0.0%)	0 (0.0%)	0 (0.0%)	1 (0.2%)	1 (0.3%)

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. 466 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 466 with a complete 24 hours.

Price 30 minutes laterForward 30-minute returns across 466 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

1 Sep16 matches
2 Sep19 matches
3 Sep16 matches
4 Sep15 matches
5 Sep15 matches
6 Sep16 matches
7 Sep17 matches
8 Sep17 matches
9 Sep18 matches
10 Sep19 matches
11 Sep17 matches
12 Sep16 matches
13 Sep17 matches
14 Sep12 matches
15 Sep16 matches
16 Sep18 matches
17 Sep16 matches
18 Sep13 matches
19 Sep16 matches
20 Sep17 matches
21 Sep17 matches
22 Sep15 matches
23 Sep17 matches
24 Sep17 matches
25 Sep15 matches
26 Sep16 matches
27 Sep17 matches
28 Sep16 matches
29 Sep10 matches
30 Sep0 matches
1 Oct0 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 MOVRUSDT, 2026-09-01 00:00 to 2026-10-01 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#e538b23d)

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: c764b05a2cce2a39e38b40d35fcb2488ecc1bfda3dfbabbbd252d4ba3f3a9680
query hash: e538b23dcdff5d7383b2877e52e596ea6f7f1be46b4185e9e4d32bd82440a7f4
scanned window: 2026-09-01T00:00:00.000Z to 2026-10-01T00:00:00.000Z (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",
        "movrusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-09-01T00:00:00.000Z",
          "2026-10-01T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","movrusdt"],["times.anchor_time","between",["2026-09-01T00:00:00.000Z","2026-10-01T00:00:00.000Z"]]]},"sort":["times.anchor_time","desc"],"page":{"limit":50,"cursor":null}}'

One-sided tape: sellers on MOVRUSDT

Read it in context

Read MOVRUSDT itself

Its recorded moves

Test it on MOVRUSDT, then plan it

What happened in the next 24 hours?

Price touched +5% or higher

Price touched −10% or lower