HOMEUSDT · recorded history

One-sided tape: buyers on HOMEUSDT

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 HOMEUSDT itself
Inspect HOMEUSDT now or at a past minute
Its recorded moves
HOMEUSDT market events and replays
Test it on HOMEUSDT, then plan it
A tested result leads to Plan a trade, which measures what trading it would have paid after costs.
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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: 48.7% · 74 of 152 minutes
Other minutes: 53.2% · 19,775 of 37,199 minutes

Price touched −10% or lower

When this held: 13.8% · 21 of 152 minutes
Other minutes: 29.3% · 10,882 of 37,199 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 152 of 157 matches with a full 24 hours after them. The 5 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 5.1 a day, on 24 of 31 days: spread through the record rather than one event.

Over the full record

Every recorded day on HOMEUSDT, 2026-05-15 to 2026-08-11: reached +5% in 188 of 444 (42.3%); fell to −10% in 57 of 444 (12.8%), within 24 hours.

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
Measured	156	156	152
Too recent	1	1	5
+1% or more	72 (46.2%)	105 (67.3%)	123 (80.9%)
+2% or more	30 (19.2%)	73 (46.8%)	107 (70.4%)
+5% or more	7 (4.5%)	26 (16.7%)	74 (48.7%)
+10% or more	2 (1.3%)	5 (3.2%)	42 (27.6%)
+15% or more	1 (0.6%)	1 (0.6%)	32 (21.1%)
+20% or more	0 (0.0%)	1 (0.6%)	26 (17.1%)
−1% or lower	61 (39.1%)	119 (76.3%)	142 (93.4%)
−2% or lower	23 (14.7%)	67 (42.9%)	131 (86.2%)
−5% or lower	3 (1.9%)	13 (8.3%)	91 (59.9%)
−10% or lower	1 (0.6%)	1 (0.6%)	21 (13.8%)
−15% or lower	0 (0.0%)	0 (0.0%)	3 (2.0%)
−20% or lower	0 (0.0%)	0 (0.0%)	2 (1.3%)

Each window counts only matches old enough for it, so a longer window can show fewer.

Full record: 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
Measured	448	448	444
Too recent	1	1	5
+1% or more	168 (37.5%)	272 (60.7%)	355 (80.0%)
+2% or more	74 (16.5%)	179 (40.0%)	293 (66.0%)
+5% or more	18 (4.0%)	58 (12.9%)	188 (42.3%)
+10% or more	4 (0.9%)	12 (2.7%)	72 (16.2%)
+15% or more	1 (0.2%)	6 (1.3%)	51 (11.5%)
+20% or more	0 (0.0%)	3 (0.7%)	39 (8.8%)
−1% or lower	180 (40.2%)	322 (71.9%)	405 (91.2%)
−2% or lower	49 (10.9%)	186 (41.5%)	363 (81.8%)
−5% or lower	4 (0.9%)	30 (6.7%)	235 (52.9%)
−10% or lower	1 (0.2%)	6 (1.3%)	57 (12.8%)
−15% or lower	0 (0.0%)	0 (0.0%)	16 (3.6%)
−20% or lower	0 (0.0%)	0 (0.0%)	7 (1.6%)

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. 152 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 152 with a complete 24 hours.

Price 30 minutes laterForward 30-minute returns across 157 matches: 56% of them finished down. 0 too recent.

How to read a distribution

Matches per UTC day

12 Jul15 matches
13 Jul14 matches
14 Jul14 matches
15 Jul8 matches
16 Jul0 matches
17 Jul1 match
18 Jul3 matches
19 Jul4 matches
20 Jul9 matches
21 Jul9 matches
22 Jul7 matches
23 Jul3 matches
24 Jul4 matches
25 Jul8 matches
26 Jul5 matches
27 Jul4 matches
28 Jul8 matches
29 Jul6 matches
30 Jul7 matches
31 Jul9 matches
1 Aug8 matches
2 Aug0 matches
3 Aug2 matches
4 Aug0 matches
5 Aug2 matches
6 Aug0 matches
7 Aug2 matches
8 Aug5 matches
9 Aug0 matches
10 Aug0 matches
11 Aug0 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 40,321 eligible market-minutes (eligible_symbol_buckets) on HOMEUSDT, 2026-07-12 00:00 to 2026-08-11 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#df479ac0)

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: fbb293e1e0a45420ed804b240e8dd19aab0fa5a23047a53159c4753b6a7fe272
query hash: df479ac0535069486101574ceaa93cbc287ffaef47f97412f3eaeba6c5bf014a
scanned window: 2026-07-12T00:00:00.000Z to 2026-08-11T00:00:00.000Z (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",
        "homeusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-07-12T00:00:00.000Z",
          "2026-08-11T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","homeusdt"],["times.anchor_time","between",["2026-07-12T00:00:00.000Z","2026-08-11T00:00:00.000Z"]]]},"sort":["times.anchor_time","desc"],"page":{"limit":50,"cursor":null}}'

One-sided tape: buyers on HOMEUSDT

Read it in context

Read HOMEUSDT itself

Its recorded moves

Test it on HOMEUSDT, then plan it

What happened in the next 24 hours?

Price touched +5% or higher

Price touched −10% or lower

Over the full record