MAGMAUSDT · recorded history

One-sided tape: buyers on MAGMAUSDT

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 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: 58.6% · 129 of 220 minutes
Other minutes: 67.3% · 26,118 of 38,834 minutes

Price touched −10% or lower

When this held: 11.4% · 25 of 220 minutes
Other minutes: 33.0% · 12,813 of 38,834 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 220 of 231 matches with a full 24 hours after them. The 11 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 7.5 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	231	229	220	213	207
Too recent	0	2	11	18	24
+0.1% or more	216 (93.5%)	224 (97.8%)	217 (98.6%)	212 (99.5%)	207 (100.0%)
+0.2% or more	196 (84.8%)	214 (93.4%)	214 (97.3%)	209 (98.1%)	206 (99.5%)
+0.5% or more	147 (63.6%)	188 (82.1%)	209 (95.0%)	205 (96.2%)	205 (99.0%)
+1% or more	97 (42.0%)	154 (67.2%)	195 (88.6%)	194 (91.1%)	200 (96.6%)
+2% or more	48 (20.8%)	111 (48.5%)	169 (76.8%)	177 (83.1%)	198 (95.7%)
+5% or more	13 (5.6%)	49 (21.4%)	129 (58.6%)	151 (70.9%)	188 (90.8%)
+10% or more	3 (1.3%)	19 (8.3%)	79 (35.9%)	128 (60.1%)	175 (84.5%)
+15% or more	0 (0.0%)	6 (2.6%)	54 (24.5%)	112 (52.6%)	160 (77.3%)
+20% or more	0 (0.0%)	3 (1.3%)	48 (21.8%)	108 (50.7%)	157 (75.8%)
+30% or more	0 (0.0%)	0 (0.0%)	37 (16.8%)	103 (48.4%)	155 (74.9%)
+50% or more	0 (0.0%)	0 (0.0%)	10 (4.5%)	86 (40.4%)	131 (63.3%)
+100% or more	0 (0.0%)	0 (0.0%)	0 (0.0%)	28 (13.1%)	104 (50.2%)
−0.1% or lower	221 (95.7%)	224 (97.8%)	216 (98.2%)	209 (98.1%)	203 (98.1%)
−0.2% or lower	206 (89.2%)	217 (94.8%)	213 (96.8%)	207 (97.2%)	201 (97.1%)
−0.5% or lower	157 (68.0%)	193 (84.3%)	199 (90.5%)	197 (92.5%)	191 (92.3%)
−1% or lower	100 (43.3%)	168 (73.4%)	191 (86.8%)	191 (89.7%)	186 (89.9%)
−2% or lower	35 (15.2%)	99 (43.2%)	171 (77.7%)	174 (81.7%)	170 (82.1%)
−5% or lower	5 (2.2%)	26 (11.4%)	103 (46.8%)	137 (64.3%)	143 (69.1%)
−10% or lower	1 (0.4%)	5 (2.2%)	25 (11.4%)	84 (39.4%)	115 (55.6%)
−15% or lower	1 (0.4%)	2 (0.9%)	10 (4.5%)	27 (12.7%)	82 (39.6%)
−20% or lower	1 (0.4%)	2 (0.9%)	6 (2.7%)	12 (5.6%)	38 (18.4%)
−30% or lower	0 (0.0%)	2 (0.9%)	2 (0.9%)	5 (2.3%)	4 (1.9%)
−50% or lower	0 (0.0%)	0 (0.0%)	0 (0.0%)	1 (0.5%)	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. 220 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 220 with a complete 24 hours.

Price 30 minutes laterForward 30-minute returns across 231 matches: close to an even split, which is what a coin flip looks like. 0 too recent.

How to read a distribution

Matches per UTC day

9 Aug12 matches
10 Aug12 matches
11 Aug14 matches
12 Aug14 matches
13 Aug13 matches
14 Aug13 matches
15 Aug13 matches
16 Aug13 matches
17 Aug16 matches
18 Aug16 matches
19 Aug13 matches
20 Aug4 matches
21 Aug4 matches
22 Aug0 matches
23 Aug4 matches
24 Aug15 matches
25 Aug16 matches
26 Aug9 matches
27 Aug2 matches
28 Aug1 match
29 Aug0 matches
30 Aug0 matches
31 Aug3 matches
1 Sep3 matches
2 Sep1 match
3 Sep1 match
4 Sep1 match
5 Sep2 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#6e84fbbb)

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: 6e84fbbb51bb4e83e7bc62638da617135a536b9f3213b6450c0c571d78d8c839
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",
        "gte",
        0.62
      ],
      [
        "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","gte",0.62],["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: buyers 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