MARSCOINUSDT · recorded history

One-sided tape: sellers on MARSCOINUSDT

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

This condition showed no clear difference for either move.

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: 70.5% · 146 of 207 minutes
Other minutes: 73.0% · 28,462 of 38,986 minutes

Price touched −10% or lower

When this held: 45.4% · 94 of 207 minutes
Other minutes: 54.9% · 21,394 of 38,986 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 207 of 218 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 a day, on 29 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	218	216	207	197	152
Too recent	0	2	11	21	66
+0.1% or more	216 (99.1%)	215 (99.5%)	207 (100.0%)	197 (100.0%)	152 (100.0%)
+0.2% or more	205 (94.0%)	211 (97.7%)	206 (99.5%)	196 (99.5%)	152 (100.0%)
+0.5% or more	184 (84.4%)	202 (93.5%)	202 (97.6%)	194 (98.5%)	152 (100.0%)
+1% or more	149 (68.3%)	184 (85.2%)	195 (94.2%)	192 (97.5%)	152 (100.0%)
+2% or more	88 (40.4%)	142 (65.7%)	183 (88.4%)	187 (94.9%)	150 (98.7%)
+5% or more	16 (7.3%)	65 (30.1%)	146 (70.5%)	167 (84.8%)	142 (93.4%)
+10% or more	3 (1.4%)	23 (10.6%)	99 (47.8%)	143 (72.6%)	128 (84.2%)
+15% or more	1 (0.5%)	14 (6.5%)	73 (35.3%)	130 (66.0%)	121 (79.6%)
+20% or more	0 (0.0%)	8 (3.7%)	52 (25.1%)	115 (58.4%)	112 (73.7%)
+30% or more	0 (0.0%)	2 (0.9%)	27 (13.0%)	91 (46.2%)	94 (61.8%)
+50% or more	0 (0.0%)	1 (0.5%)	5 (2.4%)	18 (9.1%)	41 (27.0%)
+100% or more	0 (0.0%)	0 (0.0%)	3 (1.4%)	8 (4.1%)	8 (5.3%)
+200% or more	0 (0.0%)	0 (0.0%)	0 (0.0%)	8 (4.1%)	8 (5.3%)
−0.1% or lower	206 (94.5%)	212 (98.1%)	204 (98.6%)	195 (99.0%)	151 (99.3%)
−0.2% or lower	200 (91.7%)	211 (97.7%)	203 (98.1%)	194 (98.5%)	150 (98.7%)
−0.5% or lower	186 (85.3%)	207 (95.8%)	200 (96.6%)	191 (97.0%)	147 (96.7%)
−1% or lower	145 (66.5%)	189 (87.5%)	195 (94.2%)	186 (94.4%)	145 (95.4%)
−2% or lower	85 (39.0%)	154 (71.3%)	182 (87.9%)	177 (89.8%)	142 (93.4%)
−5% or lower	16 (7.3%)	69 (31.9%)	152 (73.4%)	154 (78.2%)	130 (85.5%)
−10% or lower	1 (0.5%)	10 (4.6%)	94 (45.4%)	121 (61.4%)	113 (74.3%)
−15% or lower	0 (0.0%)	1 (0.5%)	37 (17.9%)	85 (43.1%)	90 (59.2%)
−20% or lower	0 (0.0%)	0 (0.0%)	14 (6.8%)	62 (31.5%)	68 (44.7%)
−30% or lower	0 (0.0%)	0 (0.0%)	0 (0.0%)	19 (9.6%)	26 (17.1%)
−50% or lower	0 (0.0%)	0 (0.0%)	0 (0.0%)	0 (0.0%)	1 (0.7%)

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. 207 with a complete 24 hours.

Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 207 with a complete 24 hours.

Price 30 minutes laterForward 30-minute returns across 218 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

1 Sep2 matches
2 Sep4 matches
3 Sep2 matches
4 Sep0 matches
5 Sep1 match
6 Sep1 match
7 Sep3 matches
8 Sep6 matches
9 Sep4 matches
10 Sep3 matches
11 Sep3 matches
12 Sep13 matches
13 Sep14 matches
14 Sep12 matches
15 Sep7 matches
16 Sep11 matches
17 Sep6 matches
18 Sep10 matches
19 Sep15 matches
20 Sep11 matches
21 Sep10 matches
22 Sep5 matches
23 Sep9 matches
24 Sep11 matches
25 Sep12 matches
26 Sep10 matches
27 Sep12 matches
28 Sep2 matches
29 Sep8 matches
30 Sep11 matches
1 Oct0 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 42,600 eligible market-minutes (eligible_symbol_buckets) on MARSCOINUSDT, 2026-09-01 00:00 to 2026-10-01 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#8fcba325)

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: c764b05a2cce2a39e38b40d35fcb2488ecc1bfda3dfbabbbd252d4ba3f3a9680
query hash: 8fcba325ca190948993d6d876876a220dc85ca3f5c983e54ebfb7f5f16a05039
scanned window: 2026-09-01T00:00:00.000Z to 2026-10-01T00:00:00.000Z (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",
        "marscoinusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-09-01T00:00:00.000Z",
          "2026-10-01T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","marscoinusdt"],["times.anchor_time","between",["2026-09-01T00:00:00.000Z","2026-10-01T00:00:00.000Z"]]]},"sort":["times.anchor_time","desc"],"page":{"limit":50,"cursor":null}}'

One-sided tape: sellers on MARSCOINUSDT

Read it in context

Read MARSCOINUSDT itself

Its recorded moves

Test it on MARSCOINUSDT, then plan it

What happened in the next 24 hours?

Price touched +5% or higher

Price touched −10% or lower