CYSUSDT · recorded history

One-sided tape: buyers on CYSUSDT

Taker buy ratio over the last 15 minutes has run at 0.62 or more: a persistently buyer-heavy tape.

Read it in context

  1. Read CYSUSDT itself

  2. Its recorded moves

  3. Test it on CYSUSDT, then plan it

    A tested result leads to Plan a trade, which measures what trading it would have paid after costs.

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
82.2% · 74 of 90 minutes
Other minutes
82.1% · 32,518 of 39,609 minutes

Price touched −10% or lower

When this held
27.8% · 25 of 90 minutes
Other minutes
50.5% · 19,985 of 39,609 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 90 of 95 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
Matches per UTC day, 2026-08-05 to 2026-09-04

About 3.1 a day, on 19 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.
Move1 hour4 hours24 hours
Measured949290
Too recent135
+0.1% or more92 (97.9%)92 (100.0%)90 (100.0%)
+0.2% or more91 (96.8%)92 (100.0%)90 (100.0%)
+0.5% or more78 (83.0%)89 (96.7%)89 (98.9%)
+1% or more57 (60.6%)84 (91.3%)89 (98.9%)
+2% or more33 (35.1%)72 (78.3%)87 (96.7%)
+5% or more6 (6.4%)28 (30.4%)74 (82.2%)
+10% or more2 (2.1%)8 (8.7%)62 (68.9%)
+15% or more0 (0.0%)1 (1.1%)40 (44.4%)
+20% or more0 (0.0%)0 (0.0%)26 (28.9%)
+30% or more0 (0.0%)0 (0.0%)2 (2.2%)
+50% or more0 (0.0%)0 (0.0%)1 (1.1%)
−0.1% or lower89 (94.7%)90 (97.8%)88 (97.8%)
−0.2% or lower83 (88.3%)85 (92.4%)84 (93.3%)
−0.5% or lower71 (75.5%)80 (87.0%)81 (90.0%)
−1% or lower54 (57.4%)68 (73.9%)73 (81.1%)
−2% or lower27 (28.7%)49 (53.3%)62 (68.9%)
−5% or lower7 (7.4%)18 (19.6%)43 (47.8%)
−10% or lower1 (1.1%)10 (10.9%)25 (27.8%)
−15% or lower1 (1.1%)3 (3.3%)17 (18.9%)
−20% or lower0 (0.0%)1 (1.1%)15 (16.7%)
−30% or lower0 (0.0%)0 (0.0%)7 (7.8%)

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

Distributions and daily counts
Upside reached · 24hUpside reached (MFE, 24h)The most price moved up within 24 hours of each match: a high-water mark, never a close. 90 with a complete 24 hours.
Drawdown · 24hDrawdown (MAE, 24h)The worst price moved against within 24 hours of each match: the deepest point, never the close. 90 with a complete 24 hours.
Price 30 minutes laterForward 30-minute returnForward 30-minute returns across 94 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

  • 5 Aug1 match
  • 6 Aug0 matches
  • 7 Aug0 matches
  • 8 Aug0 matches
  • 9 Aug0 matches
  • 10 Aug0 matches
  • 11 Aug1 match
  • 12 Aug0 matches
  • 13 Aug0 matches
  • 14 Aug1 match
  • 15 Aug0 matches
  • 16 Aug0 matches
  • 17 Aug1 match
  • 18 Aug0 matches
  • 19 Aug2 matches
  • 20 Aug1 match
  • 21 Aug7 matches
  • 22 Aug10 matches
  • 23 Aug10 matches
  • 24 Aug10 matches
  • 25 Aug6 matches
  • 26 Aug9 matches
  • 27 Aug5 matches
  • 28 Aug6 matches
  • 29 Aug9 matches
  • 30 Aug7 matches
  • 31 Aug3 matches
  • 1 Sep1 match
  • 2 Sep5 matches
  • 3 Sep0 matches
  • 4 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 41,761 eligible market-minutes (eligible_symbol_buckets) on CYSUSDT, 2026-08-05 00:00 to 2026-09-04 00:00 UTC.

What are MFE and MAE?

Reproducibility key (q#01b09375)

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
22c65ef31c9be5c31ef90e9439d596aa036d28155c96d193417c21c89b686ff9
query hash
01b09375a2df41a1826280386b04a29fb4aba6b2d52a053cfaeba3a89d00ee2f
scanned window
2026-08-05T00:00:00.000Z to 2026-09-04T00:00:00.000Z (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",
        "cysusdt"
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-08-05T00:00:00.000Z",
          "2026-09-04T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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","cysusdt"],["times.anchor_time","between",["2026-08-05T00:00:00.000Z","2026-09-04T00:00:00.000Z"]]]},"sort":["times.anchor_time","desc"],"page":{"limit":50,"cursor":null}}'

Past examples from the record, not a guarantee or a prediction. Nothing here is trading advice.