NILUSDT · recorded history

One-sided tape: sellers on NILUSDT

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

Both moves were less common than on minutes 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: 26.2% · 94 of 359 minutes
Other minutes: 41.5% · 14,678 of 35,410 minutes

Price touched −10% or lower

When this held: 10.3% · 37 of 359 minutes
Other minutes: 19.6% · 6,924 of 35,410 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 359 of 371 matches with a full 24 hours after them. The 12 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.

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	371	368	359	340	329
Too recent	0	3	12	31	42
+0.1% or more	330 (88.9%)	349 (94.8%)	354 (98.6%)	335 (98.5%)	326 (99.1%)
+0.2% or more	308 (83.0%)	340 (92.4%)	352 (98.1%)	333 (97.9%)	325 (98.8%)
+0.5% or more	210 (56.6%)	289 (78.5%)	327 (91.1%)	322 (94.7%)	318 (96.7%)
+1% or more	123 (33.2%)	222 (60.3%)	285 (79.4%)	296 (87.1%)	299 (90.9%)
+2% or more	33 (8.9%)	111 (30.2%)	224 (62.4%)	246 (72.4%)	277 (84.2%)
+5% or more	6 (1.6%)	25 (6.8%)	94 (26.2%)	142 (41.8%)	208 (63.2%)
+10% or more	1 (0.3%)	5 (1.4%)	47 (13.1%)	121 (35.6%)	181 (55.0%)
+15% or more	0 (0.0%)	2 (0.5%)	25 (7.0%)	72 (21.2%)	127 (38.6%)
+20% or more	0 (0.0%)	1 (0.3%)	15 (4.2%)	66 (19.4%)	121 (36.8%)
+30% or more	0 (0.0%)	1 (0.3%)	13 (3.6%)	48 (14.1%)	102 (31.0%)
+50% or more	0 (0.0%)	0 (0.0%)	4 (1.1%)	42 (12.4%)	101 (30.7%)
+100% or more	0 (0.0%)	0 (0.0%)	0 (0.0%)	10 (2.9%)	78 (23.7%)
+200% or more	0 (0.0%)	0 (0.0%)	0 (0.0%)	0 (0.0%)	40 (12.2%)
−0.1% or lower	343 (92.5%)	356 (96.7%)	352 (98.1%)	333 (97.9%)	323 (98.2%)
−0.2% or lower	325 (87.6%)	347 (94.3%)	350 (97.5%)	332 (97.6%)	322 (97.9%)
−0.5% or lower	234 (63.1%)	303 (82.3%)	332 (92.5%)	319 (93.8%)	310 (94.2%)
−1% or lower	117 (31.5%)	235 (63.9%)	310 (86.4%)	303 (89.1%)	296 (90.0%)
−2% or lower	39 (10.5%)	140 (38.0%)	261 (72.7%)	273 (80.3%)	281 (85.4%)
−5% or lower	4 (1.1%)	17 (4.6%)	114 (31.8%)	186 (54.7%)	238 (72.3%)
−10% or lower	1 (0.3%)	6 (1.6%)	37 (10.3%)	80 (23.5%)	148 (45.0%)
−15% or lower	0 (0.0%)	0 (0.0%)	22 (6.1%)	56 (16.5%)	86 (26.1%)
−20% or lower	0 (0.0%)	0 (0.0%)	1 (0.3%)	36 (10.6%)	71 (21.6%)
−30% or lower	0 (0.0%)	0 (0.0%)	0 (0.0%)	1 (0.3%)	0 (0.0%)

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. 359 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 359 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. 1 too recent.

How to read a distribution

Matches per UTC day

31 Aug16 matches
1 Sep17 matches
2 Sep20 matches
3 Sep19 matches
4 Sep13 matches
5 Sep13 matches
6 Sep19 matches
7 Sep12 matches
8 Sep17 matches
9 Sep18 matches
10 Sep17 matches
11 Sep16 matches
12 Sep18 matches
13 Sep15 matches
14 Sep14 matches
15 Sep15 matches
16 Sep16 matches
17 Sep14 matches
18 Sep13 matches
19 Sep14 matches
20 Sep7 matches
21 Sep3 matches
22 Sep3 matches
23 Sep0 matches
24 Sep0 matches
25 Sep1 match
26 Sep10 matches
27 Sep8 matches
28 Sep11 matches
29 Sep12 matches
30 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 NILUSDT, 2026-08-31 00:00 to 2026-09-30 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#19dadbbc)

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: a0160256ea9f4a3d28b8c1be4b86af7c96dd894337c5da49f65d25ba8ef55f0b
query hash: 19dadbbc20e779414491bcda977e3d97e5505034268fafa130bcad18f822f609
scanned window: 2026-08-31T00:00:00.000Z to 2026-09-30T00:00:00.000Z (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",
        "nilusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-08-31T00:00:00.000Z",
          "2026-09-30T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","nilusdt"],["times.anchor_time","between",["2026-08-31T00:00:00.000Z","2026-09-30T00:00:00.000Z"]]]},"sort":["times.anchor_time","desc"],"page":{"limit":50,"cursor":null}}'

One-sided tape: sellers on NILUSDT

Read it in context

Read NILUSDT itself

Its recorded moves

Test it on NILUSDT, then plan it

What happened in the next 24 hours?

Price touched +5% or higher

Price touched −10% or lower