MOVRUSDT · recorded history

One-sided tape: buyers on MOVRUSDT

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 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: 49.3% · 201 of 408 minutes
Other minutes: 48.2% · 17,532 of 36,380 minutes

Price touched −10% or lower

When this held: 5.6% · 23 of 408 minutes
Other minutes: 5.9% · 2,143 of 36,380 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 408 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 13 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	408	408	408	384	334
Too recent	0	0	0	24	74
+0.1% or more	366 (89.7%)	385 (94.4%)	403 (98.8%)	383 (99.7%)	334 (100.0%)
+0.2% or more	338 (82.8%)	375 (91.9%)	401 (98.3%)	382 (99.5%)	334 (100.0%)
+0.5% or more	244 (59.8%)	326 (79.9%)	387 (94.9%)	376 (97.9%)	334 (100.0%)
+1% or more	116 (28.4%)	252 (61.8%)	361 (88.5%)	368 (95.8%)	333 (99.7%)
+2% or more	35 (8.6%)	146 (35.8%)	310 (76.0%)	354 (92.2%)	330 (98.8%)
+5% or more	3 (0.7%)	25 (6.1%)	201 (49.3%)	321 (83.6%)	315 (94.3%)
+10% or more	1 (0.2%)	6 (1.5%)	68 (16.7%)	195 (50.8%)	255 (76.3%)
+15% or more	0 (0.0%)	0 (0.0%)	29 (7.1%)	122 (31.8%)	193 (57.8%)
+20% or more	0 (0.0%)	0 (0.0%)	22 (5.4%)	74 (19.3%)	148 (44.3%)
+30% or more	0 (0.0%)	0 (0.0%)	9 (2.2%)	17 (4.4%)	81 (24.3%)
+50% or more	0 (0.0%)	0 (0.0%)	6 (1.5%)	10 (2.6%)	11 (3.3%)
+100% or more	0 (0.0%)	0 (0.0%)	2 (0.5%)	1 (0.3%)	8 (2.4%)
−0.1% or lower	376 (92.2%)	393 (96.3%)	404 (99.0%)	381 (99.2%)	333 (99.7%)
−0.2% or lower	349 (85.5%)	377 (92.4%)	395 (96.8%)	376 (97.9%)	329 (98.5%)
−0.5% or lower	239 (58.6%)	334 (81.9%)	379 (92.9%)	367 (95.6%)	323 (96.7%)
−1% or lower	132 (32.4%)	258 (63.2%)	342 (83.8%)	346 (90.1%)	314 (94.0%)
−2% or lower	34 (8.3%)	127 (31.1%)	254 (62.3%)	283 (73.7%)	279 (83.5%)
−5% or lower	1 (0.2%)	11 (2.7%)	110 (27.0%)	162 (42.2%)	205 (61.4%)
−10% or lower	0 (0.0%)	2 (0.5%)	23 (5.6%)	74 (19.3%)	102 (30.5%)
−15% or lower	0 (0.0%)	0 (0.0%)	5 (1.2%)	28 (7.3%)	37 (11.1%)
−20% or lower	0 (0.0%)	0 (0.0%)	0 (0.0%)	1 (0.3%)	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. 408 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 408 with a complete 24 hours.

Price 30 minutes laterForward 30-minute returns across 408 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 Sep13 matches
2 Sep16 matches
3 Sep13 matches
4 Sep12 matches
5 Sep15 matches
6 Sep14 matches
7 Sep13 matches
8 Sep16 matches
9 Sep13 matches
10 Sep11 matches
11 Sep15 matches
12 Sep16 matches
13 Sep13 matches
14 Sep15 matches
15 Sep14 matches
16 Sep15 matches
17 Sep16 matches
18 Sep16 matches
19 Sep15 matches
20 Sep17 matches
21 Sep15 matches
22 Sep17 matches
23 Sep14 matches
24 Sep14 matches
25 Sep9 matches
26 Sep15 matches
27 Sep12 matches
28 Sep15 matches
29 Sep9 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#446ad562)

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: 446ad5628fea5c6f57d726882ddacd58d22c41db13326dcca6e69a772afdf031
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",
        "gte",
        0.62
      ],
      [
        "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","gte",0.62],["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: buyers 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