Condition · recorded history

One-sided tape: sellers

Taker buy ratio over the last 15 minutes has run at 0.38 or less: a persistently seller-heavy tape.

What is order flow?

Recorded window: 5 Sept 2026 to 4 Oct 2026 (UTC). Counted 5 Oct 2026 at 09:36 UTC.

Read it in context

  1. On one market

    Each market page compares that market with its own minutes, not with every market at once.

  2. Test it, then plan it

    Narrow it to your markets and dates in the Workbench. A tested result leads to Plan a trade, which measures what trading it would have paid after costs.

By market

Results vary by market. Compare a market before drawing a conclusion.

All 130 markets
How results varied by market

Range across 130 markets with at least 30 measured: reached +5% within 24 hours in 0 of 444 on PAXGUSDT (0%) to 172 of 202 on CAPUSDT (85%).

Every market pooled, without context

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
31.2% · 71,470 of 228,838 minutes
Other minutes
34.8% · 5,939,506 of 17,079,382 minutes

Price touched −10% or lower

When this held
4.4% · 9,966 of 228,838 minutes
Other minutes
6.9% · 1,172,569 of 17,079,382 minutes

Price can touch both levels within the same 24 hours.

Every matching minute counts, so one long run adds many near-identical minutes. Busy markets weigh most.

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.

This counts how often price touched a level, not what trading it would have paid.

Sample and counting

Rates use the 228,838 of 235,517 matches, pooled across 524 markets, with a full 24 hours after them. The 6,679 newer ones are left out, not counted as zero.

When it happened
Matches per UTC day, 2026-09-05 to 2026-10-05

About 7,597 a day, on 31 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 hours72 hours7 days
Measured233,633233,633228,838213,258182,842
Too recent1,8841,8846,67922,25952,675
+0.1% or more207,237 (88.7%)221,850 (95.0%)225,029 (98.3%)211,537 (99.2%)182,085 (99.6%)
+0.2% or more183,801 (78.7%)210,894 (90.3%)221,488 (96.8%)209,928 (98.4%)181,335 (99.2%)
+0.5% or more121,557 (52.0%)177,541 (76.0%)210,253 (91.9%)204,848 (96.1%)179,068 (97.9%)
+1% or more58,060 (24.9%)127,255 (54.5%)190,565 (83.3%)195,709 (91.8%)174,743 (95.6%)
+2% or more15,658 (6.7%)62,368 (26.7%)152,992 (66.9%)176,091 (82.6%)165,318 (90.4%)
+5% or more1,543 (0.7%)10,822 (4.6%)71,470 (31.2%)122,904 (57.6%)138,175 (75.6%)
+10% or more246 (0.1%)2,125 (0.9%)22,685 (9.9%)66,253 (31.1%)100,182 (54.8%)
+15% or more94 (<0.1%)848 (0.4%)10,270 (4.5%)36,476 (17.1%)70,474 (38.5%)
+20% or more47 (<0.1%)424 (0.2%)5,566 (2.4%)21,718 (10.2%)49,611 (27.1%)
+30% or more16 (<0.1%)163 (0.1%)2,296 (1.0%)9,564 (4.5%)26,140 (14.3%)
+50% or more4 (<0.1%)47 (<0.1%)796 (0.3%)3,612 (1.7%)10,030 (5.5%)
+100% or more1 (<0.1%)5 (<0.1%)151 (0.1%)802 (0.4%)2,706 (1.5%)
+200% or more0 (0.0%)1 (<0.1%)30 (<0.1%)233 (0.1%)856 (0.5%)
+400% or more0 (0.0%)0 (0.0%)1 (<0.1%)20 (<0.1%)242 (0.1%)
−0.1% or lower203,633 (87.2%)219,326 (93.9%)223,181 (97.5%)210,162 (98.5%)180,855 (98.9%)
−0.2% or lower178,872 (76.6%)207,122 (88.7%)218,453 (95.5%)207,597 (97.3%)179,222 (98.0%)
−0.5% or lower117,162 (50.1%)171,680 (73.5%)204,070 (89.2%)199,962 (93.8%)174,561 (95.5%)
−1% or lower55,708 (23.8%)120,691 (51.7%)180,219 (78.8%)187,637 (88.0%)167,168 (91.4%)
−2% or lower14,753 (6.3%)56,024 (24.0%)136,281 (59.6%)164,362 (77.1%)154,548 (84.5%)
−5% or lower1,473 (0.6%)7,481 (3.2%)51,958 (22.7%)103,007 (48.3%)118,929 (65.0%)
−10% or lower228 (0.1%)1,043 (0.4%)9,966 (4.4%)34,457 (16.2%)55,304 (30.2%)
−15% or lower74 (<0.1%)329 (0.1%)2,874 (1.3%)9,924 (4.7%)20,125 (11.0%)
−20% or lower31 (<0.1%)140 (0.1%)1,171 (0.5%)4,500 (2.1%)9,318 (5.1%)
−30% or lower10 (<0.1%)31 (<0.1%)286 (0.1%)1,287 (0.6%)2,628 (1.4%)
−50% or lower0 (0.0%)0 (0.0%)3 (<0.1%)86 (<0.1%)296 (0.2%)

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. 228,838 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. 228,838 with a complete 24 hours.
Price 30 minutes laterForward 30-minute returnForward 30-minute returns across 231,328 matches: close to an even split, which is what a coin flip looks like. 4,189 too recent.

How to read a distribution

Matches per UTC day

  • 5 Sep8,050 matches
  • 6 Sep7,975 matches
  • 7 Sep7,910 matches
  • 8 Sep7,965 matches
  • 9 Sep8,000 matches
  • 10 Sep7,853 matches
  • 11 Sep7,880 matches
  • 12 Sep8,095 matches
  • 13 Sep8,023 matches
  • 14 Sep8,012 matches
  • 15 Sep7,928 matches
  • 16 Sep7,980 matches
  • 17 Sep8,052 matches
  • 18 Sep7,743 matches
  • 19 Sep7,872 matches
  • 20 Sep7,810 matches
  • 21 Sep7,571 matches
  • 22 Sep7,499 matches
  • 23 Sep7,834 matches
  • 24 Sep7,579 matches
  • 25 Sep7,609 matches
  • 26 Sep8,028 matches
  • 27 Sep8,018 matches
  • 28 Sep7,640 matches
  • 29 Sep7,655 matches
  • 30 Sep7,595 matches
  • 1 Oct7,616 matches
  • 2 Oct7,608 matches
  • 3 Oct7,980 matches
  • 4 Oct8,129 matches
  • 5 Oct8 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 markets 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 22,580,296 eligible market-minutes (eligible_symbol_buckets) on 524 markets, 2026-09-05 00:00 to 2026-10-05 00:00 UTC.
  • These counts pool every market, so markets that match often weigh more. Each market page compares that market with its own reference.
  • Live status is not connected yet, so this page is recorded history only.

What are MFE and MAE?

Reproducibility key (q#029faf3e)

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
29865d5be07fd006f3b0233d8edb27cd9c0698333e554c8b1c7981e4d172921c
query hash
029faf3e50e35ec7f383001400781abe7f9d8471a3e2b84770534ee1d4178be5
scanned window
2026-09-05T00:00:00.000Z to 2026-10-05T00:00:00.000Z (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
      ],
      [
        "times.anchor_time",
        "between",
        [
          "2026-09-05T00:00:00.000Z",
          "2026-10-05T00:00:00.000Z"
        ]
      ]
    ]
  },
  "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],["times.anchor_time","between",["2026-09-05T00:00:00.000Z","2026-10-05T00:00:00.000Z"]]]},"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.