MAGMAUSDT · recorded history

One-sided tape: sellers on MAGMAUSDT

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

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: 55.0% · 127 of 231 minutes
Other minutes: 67.9% · 26,050 of 38,375 minutes

Price touched −10% or lower

When this held: 15.2% · 35 of 231 minutes
Other minutes: 33.0% · 12,646 of 38,375 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 231 of 243 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 7.8 a day, on 24 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	241	240	231	222	216
Too recent	2	3	12	21	27
+0.1% or more	222 (92.1%)	233 (97.1%)	230 (99.6%)	221 (99.5%)	215 (99.5%)
+0.2% or more	208 (86.3%)	225 (93.8%)	228 (98.7%)	220 (99.1%)	214 (99.1%)
+0.5% or more	155 (64.3%)	197 (82.1%)	215 (93.1%)	212 (95.5%)	210 (97.2%)
+1% or more	103 (42.7%)	160 (66.7%)	201 (87.0%)	202 (91.0%)	205 (94.9%)
+2% or more	42 (17.4%)	108 (45.0%)	176 (76.2%)	184 (82.9%)	201 (93.1%)
+5% or more	9 (3.7%)	39 (16.3%)	127 (55.0%)	151 (68.0%)	194 (89.8%)
+10% or more	0 (0.0%)	14 (5.8%)	78 (33.8%)	122 (55.0%)	178 (82.4%)
+15% or more	0 (0.0%)	4 (1.7%)	51 (22.1%)	106 (47.7%)	161 (74.5%)
+20% or more	0 (0.0%)	2 (0.8%)	43 (18.6%)	99 (44.6%)	157 (72.7%)
+30% or more	0 (0.0%)	0 (0.0%)	36 (15.6%)	96 (43.2%)	155 (71.8%)
+50% or more	0 (0.0%)	0 (0.0%)	5 (2.2%)	77 (34.7%)	134 (62.0%)
+100% or more	0 (0.0%)	0 (0.0%)	0 (0.0%)	25 (11.3%)	105 (48.6%)
−0.1% or lower	222 (92.1%)	229 (95.4%)	227 (98.3%)	218 (98.2%)	212 (98.1%)
−0.2% or lower	209 (86.7%)	220 (91.7%)	225 (97.4%)	216 (97.3%)	210 (97.2%)
−0.5% or lower	166 (68.9%)	207 (86.3%)	216 (93.5%)	209 (94.1%)	204 (94.4%)
−1% or lower	109 (45.2%)	168 (70.0%)	202 (87.4%)	196 (88.3%)	193 (89.4%)
−2% or lower	51 (21.2%)	115 (47.9%)	185 (80.1%)	183 (82.4%)	182 (84.3%)
−5% or lower	7 (2.9%)	30 (12.5%)	119 (51.5%)	149 (67.1%)	159 (73.6%)
−10% or lower	0 (0.0%)	2 (0.8%)	35 (15.2%)	96 (43.2%)	130 (60.2%)
−15% or lower	0 (0.0%)	0 (0.0%)	17 (7.4%)	25 (11.3%)	85 (39.4%)
−20% or lower	0 (0.0%)	0 (0.0%)	8 (3.5%)	12 (5.4%)	38 (17.6%)
−30% or lower	0 (0.0%)	0 (0.0%)	3 (1.3%)	6 (2.7%)	2 (0.9%)

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. 231 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 231 with a complete 24 hours.

Price 30 minutes laterForward 30-minute returns across 242 matches: 55% of them finished down. 1 too recent.

How to read a distribution

Matches per UTC day

9 Aug16 matches
10 Aug15 matches
11 Aug14 matches
12 Aug16 matches
13 Aug12 matches
14 Aug15 matches
15 Aug14 matches
16 Aug16 matches
17 Aug14 matches
18 Aug16 matches
19 Aug11 matches
20 Aug3 matches
21 Aug5 matches
22 Aug1 match
23 Aug8 matches
24 Aug16 matches
25 Aug14 matches
26 Aug9 matches
27 Aug0 matches
28 Aug0 matches
29 Aug0 matches
30 Aug0 matches
31 Aug2 matches
1 Sep3 matches
2 Sep0 matches
3 Sep3 matches
4 Sep0 matches
5 Sep4 matches
6 Sep5 matches
7 Sep11 matches
8 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 MAGMAUSDT, 2026-08-09 00:00 to 2026-09-08 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#81d074ad)

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: cbaead34c4193bce6fcd165b579f45236bd1961521f84932d458473d0a2bae69
query hash: 81d074ade1bf55700cbfd7d43e49f82e3cdccf20376dd104e102393dd4989c88
scanned window: 2026-08-09T00:00:00.000Z to 2026-09-08T00:00:00.000Z (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",
        "magmausdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-08-09T00:00:00.000Z",
          "2026-09-08T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","magmausdt"],["times.anchor_time","between",["2026-08-09T00:00:00.000Z","2026-09-08T00:00:00.000Z"]]]},"sort":["times.anchor_time","desc"],"page":{"limit":50,"cursor":null}}'

One-sided tape: sellers on MAGMAUSDT

Read it in context

Read MAGMAUSDT itself

Its recorded moves

Test it on MAGMAUSDT, then plan it

What happened in the next 24 hours?

Price touched +5% or higher

Price touched −10% or lower