HEMIUSDT · recorded history

One-sided tape: sellers on HEMIUSDT

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

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: 50.0% · 101 of 202 minutes
Other minutes: 68.4% · 26,568 of 38,823 minutes

Price touched −10% or lower

When this held: 26.2% · 53 of 202 minutes
Other minutes: 39.4% · 15,294 of 38,823 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 202 of 208 matches with a full 24 hours after them. The 6 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 6.7 a day, on 27 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	208	206	202	193	171
Too recent	0	2	6	15	37
+0.1% or more	189 (90.9%)	199 (96.6%)	200 (99.0%)	192 (99.5%)	171 (100.0%)
+0.2% or more	174 (83.7%)	187 (90.8%)	194 (96.0%)	188 (97.4%)	171 (100.0%)
+0.5% or more	145 (69.7%)	169 (82.0%)	186 (92.1%)	185 (95.9%)	171 (100.0%)
+1% or more	94 (45.2%)	132 (64.1%)	170 (84.2%)	174 (90.2%)	171 (100.0%)
+2% or more	44 (21.2%)	95 (46.1%)	147 (72.8%)	160 (82.9%)	171 (100.0%)
+5% or more	11 (5.3%)	45 (21.8%)	101 (50.0%)	134 (69.4%)	171 (100.0%)
+10% or more	3 (1.4%)	21 (10.2%)	72 (35.6%)	117 (60.6%)	171 (100.0%)
+15% or more	1 (0.5%)	11 (5.3%)	62 (30.7%)	115 (59.6%)	171 (100.0%)
+20% or more	0 (0.0%)	7 (3.4%)	56 (27.7%)	114 (59.1%)	171 (100.0%)
+30% or more	0 (0.0%)	3 (1.5%)	49 (24.3%)	112 (58.0%)	171 (100.0%)
+50% or more	0 (0.0%)	1 (0.5%)	20 (9.9%)	99 (51.3%)	157 (91.8%)
+100% or more	0 (0.0%)	0 (0.0%)	0 (0.0%)	14 (7.3%)	95 (55.6%)
+200% or more	0 (0.0%)	0 (0.0%)	0 (0.0%)	0 (0.0%)	25 (14.6%)
−0.1% or lower	190 (91.3%)	195 (94.7%)	198 (98.0%)	189 (97.9%)	168 (98.2%)
−0.2% or lower	178 (85.6%)	188 (91.3%)	194 (96.0%)	185 (95.9%)	164 (95.9%)
−0.5% or lower	151 (72.6%)	180 (87.4%)	186 (92.1%)	178 (92.2%)	159 (93.0%)
−1% or lower	101 (48.6%)	146 (70.9%)	176 (87.1%)	169 (87.6%)	150 (87.7%)
−2% or lower	47 (22.6%)	106 (51.5%)	166 (82.2%)	161 (83.4%)	142 (83.0%)
−5% or lower	7 (3.4%)	41 (19.9%)	104 (51.5%)	123 (63.7%)	102 (59.6%)
−10% or lower	3 (1.4%)	15 (7.3%)	53 (26.2%)	72 (37.3%)	53 (31.0%)
−15% or lower	3 (1.4%)	9 (4.4%)	35 (17.3%)	50 (25.9%)	33 (19.3%)
−20% or lower	1 (0.5%)	6 (2.9%)	28 (13.9%)	44 (22.8%)	25 (14.6%)
−30% or lower	0 (0.0%)	0 (0.0%)	4 (2.0%)	21 (10.9%)	10 (5.8%)
−50% or lower	0 (0.0%)	0 (0.0%)	0 (0.0%)	3 (1.6%)	1 (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. 202 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 202 with a complete 24 hours.

Price 30 minutes laterForward 30-minute returns across 207 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

10 Aug17 matches
11 Aug18 matches
12 Aug17 matches
13 Aug16 matches
14 Aug17 matches
15 Aug3 matches
16 Aug0 matches
17 Aug8 matches
18 Aug8 matches
19 Aug3 matches
20 Aug1 match
21 Aug2 matches
22 Aug6 matches
23 Aug7 matches
24 Aug7 matches
25 Aug9 matches
26 Aug13 matches
27 Aug4 matches
28 Aug0 matches
29 Aug2 matches
30 Aug9 matches
31 Aug0 matches
1 Sep4 matches
2 Sep3 matches
3 Sep3 matches
4 Sep8 matches
5 Sep8 matches
6 Sep4 matches
7 Sep5 matches
8 Sep6 matches
9 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 HEMIUSDT, 2026-08-10 00:00 to 2026-09-09 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#2fb931a0)

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: 418a74e4be785450505a2b88c7da983731b66fd02c30448d58ded11053128b2a
query hash: 2fb931a0d54c41c09510b4203cca92ffbff21710df0ab5acb00a43bc5e4cf070
scanned window: 2026-08-10T00:00:00.000Z to 2026-09-09T00:00:00.000Z (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",
        "hemiusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-08-10T00:00:00.000Z",
          "2026-09-09T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","hemiusdt"],["times.anchor_time","between",["2026-08-10T00:00:00.000Z","2026-09-09T00:00:00.000Z"]]]},"sort":["times.anchor_time","desc"],"page":{"limit":50,"cursor":null}}'

One-sided tape: sellers on HEMIUSDT

Read it in context

Read HEMIUSDT itself

Its recorded moves

Test it on HEMIUSDT, then plan it

What happened in the next 24 hours?

Price touched +5% or higher

Price touched −10% or lower