IOSTUSDT · recorded history

One-sided tape: buyers on IOSTUSDT

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 IOSTUSDT itself
Inspect IOSTUSDT now or at a past minute
Its recorded moves
IOSTUSDT market events and replays
Test it on IOSTUSDT, 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: 29.9% · 103 of 345 minutes
Other minutes: 41.4% · 14,326 of 34,633 minutes

Price touched −10% or lower

When this held: 0.9% · 3 of 345 minutes
Other minutes: 13.2% · 4,571 of 34,633 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 345 of 353 matches with a full 24 hours after them. The 8 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.

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	347	347	345	344	330
Too recent	6	6	8	9	23
+0.1% or more	303 (87.3%)	331 (95.4%)	334 (96.8%)	339 (98.5%)	329 (99.7%)
+0.2% or more	263 (75.8%)	319 (91.9%)	329 (95.4%)	337 (98.0%)	329 (99.7%)
+0.5% or more	156 (45.0%)	252 (72.6%)	307 (89.0%)	332 (96.5%)	329 (99.7%)
+1% or more	51 (14.7%)	158 (45.5%)	278 (80.6%)	324 (94.2%)	329 (99.7%)
+2% or more	19 (5.5%)	69 (19.9%)	212 (61.4%)	295 (85.8%)	328 (99.4%)
+5% or more	3 (0.9%)	15 (4.3%)	103 (29.9%)	213 (61.9%)	303 (91.8%)
+10% or more	1 (0.3%)	6 (1.7%)	35 (10.1%)	105 (30.5%)	214 (64.8%)
+15% or more	0 (0.0%)	3 (0.9%)	30 (8.7%)	77 (22.4%)	164 (49.7%)
+20% or more	0 (0.0%)	1 (0.3%)	26 (7.5%)	61 (17.7%)	121 (36.7%)
+30% or more	0 (0.0%)	0 (0.0%)	19 (5.5%)	52 (15.1%)	95 (28.8%)
+50% or more	0 (0.0%)	0 (0.0%)	3 (0.9%)	37 (10.8%)	77 (23.3%)
+100% or more	0 (0.0%)	0 (0.0%)	2 (0.6%)	11 (3.2%)	52 (15.8%)
+200% or more	0 (0.0%)	0 (0.0%)	0 (0.0%)	6 (1.7%)	45 (13.6%)
−0.1% or lower	294 (84.7%)	323 (93.1%)	336 (97.4%)	338 (98.3%)	325 (98.5%)
−0.2% or lower	241 (69.5%)	287 (82.7%)	322 (93.3%)	328 (95.3%)	316 (95.8%)
−0.5% or lower	134 (38.6%)	224 (64.6%)	291 (84.3%)	313 (91.0%)	304 (92.1%)
−1% or lower	49 (14.1%)	127 (36.6%)	246 (71.3%)	285 (82.8%)	278 (84.2%)
−2% or lower	7 (2.0%)	44 (12.7%)	157 (45.5%)	228 (66.3%)	234 (70.9%)
−5% or lower	2 (0.6%)	12 (3.5%)	53 (15.4%)	102 (29.7%)	121 (36.7%)
−10% or lower	1 (0.3%)	1 (0.3%)	3 (0.9%)	3 (0.9%)	2 (0.6%)

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. 345 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 345 with a complete 24 hours.

Price 30 minutes laterForward 30-minute returns across 345 matches: 55% of them finished up. 8 too recent.

How to read a distribution

Matches per UTC day

14 Aug17 matches
15 Aug16 matches
16 Aug16 matches
17 Aug18 matches
18 Aug14 matches
19 Aug16 matches
20 Aug14 matches
21 Aug11 matches
22 Aug11 matches
23 Aug13 matches
24 Aug15 matches
25 Aug15 matches
26 Aug14 matches
27 Aug14 matches
28 Aug17 matches
29 Aug16 matches
30 Aug16 matches
31 Aug16 matches
1 Sep15 matches
2 Sep12 matches
3 Sep14 matches
4 Sep11 matches
5 Sep15 matches
6 Sep9 matches
7 Sep3 matches
8 Sep2 matches
9 Sep0 matches
10 Sep0 matches
11 Sep1 match
12 Sep2 matches
13 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 IOSTUSDT, 2026-08-14 00:00 to 2026-09-13 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#66baa0af)

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: 0848795c73770f58efd1b92d65553dd83603bcf23b7d9a5ff6b63224cb3eae10
query hash: 66baa0afe97306adf79a79332b82aebdcd1de81fa41996ec3fbc994ed80abce0
scanned window: 2026-08-14T00:00:00.000Z to 2026-09-13T00:00:00.000Z (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",
        "iostusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-08-14T00:00:00.000Z",
          "2026-09-13T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","iostusdt"],["times.anchor_time","between",["2026-08-14T00:00:00.000Z","2026-09-13T00:00:00.000Z"]]]},"sort":["times.anchor_time","desc"],"page":{"limit":50,"cursor":null}}'

One-sided tape: buyers on IOSTUSDT

Read it in context

Read IOSTUSDT itself

Its recorded moves

Test it on IOSTUSDT, then plan it

What happened in the next 24 hours?

Price touched +5% or higher

Price touched −10% or lower