Price touched +5% or higher
- When this held
- 55.6% · 80 of 144 minutes
- Other minutes
- 33.8% · 7,268,725 of 21,493,148 minutes
Funding pinned at the extreme of its range
Normalized funding magnitude is at 0.9 or above: funding pinned near the extreme end of its range.
Recorded window: 9 Sept 2026 to 8 Oct 2026 (UTC). Counted 10 Oct 2026 at 08:14 UTC.
Read it in context
On one market
Each market page compares that market with its own minutes, not with every market at once.
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
No market has its own page for this condition yet. Pages are rebuilt nightly for the most-traded markets with at least 20 matches.
Every market pooled, without context
What happened in the next 24 hours?
Both moves were more common than on minutes 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 −10% or lower
- When this held
- 38.9% · 56 of 144 minutes
- Other minutes
- 6.1% · 1,303,573 of 21,493,148 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
All 144 matches, pooled across 524 markets, have a full 24 hours after them.
When it happened
About 4.6 a day, on 26 of 31 days: spread through the record rather than one event.
Other windows and move sizes
| Move | 1 hour | 4 hours | 24 hours | 72 hours | 7 days |
|---|---|---|---|---|---|
| Measured | 144 | 144 | 144 | 143 | 134 |
| Too recent | 0 | 0 | 0 | 1 | 10 |
| +0.1% or more | 137 (95.1%) | 139 (96.5%) | 141 (97.9%) | 141 (98.6%) | 134 (100.0%) |
| +0.2% or more | 133 (92.4%) | 137 (95.1%) | 140 (97.2%) | 140 (97.9%) | 134 (100.0%) |
| +0.5% or more | 115 (79.9%) | 125 (86.8%) | 134 (93.1%) | 135 (94.4%) | 128 (95.5%) |
| +1% or more | 91 (63.2%) | 108 (75.0%) | 129 (89.6%) | 131 (91.6%) | 125 (93.3%) |
| +2% or more | 61 (42.4%) | 91 (63.2%) | 117 (81.3%) | 122 (85.3%) | 117 (87.3%) |
| +5% or more | 20 (13.9%) | 45 (31.3%) | 80 (55.6%) | 94 (65.7%) | 97 (72.4%) |
| +10% or more | 10 (6.9%) | 25 (17.4%) | 59 (41.0%) | 68 (47.6%) | 78 (58.2%) |
| +15% or more | 3 (2.1%) | 15 (10.4%) | 45 (31.3%) | 53 (37.1%) | 58 (43.3%) |
| +20% or more | 0 (0.0%) | 12 (8.3%) | 36 (25.0%) | 39 (27.3%) | 41 (30.6%) |
| +30% or more | 0 (0.0%) | 6 (4.2%) | 27 (18.8%) | 30 (21.0%) | 31 (23.1%) |
| +50% or more | 0 (0.0%) | 1 (0.7%) | 15 (10.4%) | 21 (14.7%) | 20 (14.9%) |
| +100% or more | 0 (0.0%) | 1 (0.7%) | 5 (3.5%) | 13 (9.1%) | 11 (8.2%) |
| +200% or more | 0 (0.0%) | 0 (0.0%) | 2 (1.4%) | 5 (3.5%) | 4 (3.0%) |
| +400% or more | 0 (0.0%) | 0 (0.0%) | 1 (0.7%) | 3 (2.1%) | 3 (2.2%) |
| −0.1% or lower | 144 (100.0%) | 144 (100.0%) | 144 (100.0%) | 143 (100.0%) | 134 (100.0%) |
| −0.2% or lower | 144 (100.0%) | 144 (100.0%) | 144 (100.0%) | 143 (100.0%) | 134 (100.0%) |
| −0.5% or lower | 139 (96.5%) | 143 (99.3%) | 144 (100.0%) | 143 (100.0%) | 134 (100.0%) |
| −1% or lower | 123 (85.4%) | 139 (96.5%) | 143 (99.3%) | 142 (99.3%) | 133 (99.3%) |
| −2% or lower | 91 (63.2%) | 120 (83.3%) | 134 (93.1%) | 135 (94.4%) | 129 (96.3%) |
| −5% or lower | 40 (27.8%) | 72 (50.0%) | 103 (71.5%) | 116 (81.1%) | 114 (85.1%) |
| −10% or lower | 6 (4.2%) | 22 (15.3%) | 56 (38.9%) | 85 (59.4%) | 88 (65.7%) |
| −15% or lower | 3 (2.1%) | 10 (6.9%) | 32 (22.2%) | 51 (35.7%) | 62 (46.3%) |
| −20% or lower | 1 (0.7%) | 3 (2.1%) | 17 (11.8%) | 26 (18.2%) | 40 (29.9%) |
| −30% or lower | 0 (0.0%) | 3 (2.1%) | 7 (4.9%) | 13 (9.1%) | 24 (17.9%) |
| −50% or lower | 0 (0.0%) | 1 (0.7%) | 3 (2.1%) | 4 (2.8%) | 5 (3.7%) |
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. 144 with a complete 24 hours.
Drawdown · 24hThe worst price moved against within 24 hours of each match: the deepest point, never the close. 144 with a complete 24 hours.
Price 30 minutes laterForward 30-minute returns across 144 matches: 68% of them finished down. 0 too recent.
Matches per UTC day
- 9 Sep3 matches
- 10 Sep12 matches
- 11 Sep5 matches
- 12 Sep6 matches
- 13 Sep9 matches
- 14 Sep15 matches
- 15 Sep13 matches
- 16 Sep7 matches
- 17 Sep7 matches
- 18 Sep6 matches
- 19 Sep5 matches
- 20 Sep10 matches
- 21 Sep3 matches
- 22 Sep4 matches
- 23 Sep4 matches
- 24 Sep5 matches
- 25 Sep5 matches
- 26 Sep5 matches
- 27 Sep6 matches
- 28 Sep0 matches
- 29 Sep0 matches
- 30 Sep2 matches
- 1 Oct2 matches
- 2 Oct0 matches
- 3 Oct1 match
- 4 Oct1 match
- 5 Oct5 matches
- 6 Oct2 matches
- 7 Oct0 matches
- 8 Oct1 match
- 9 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 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 22,583,758 eligible market-minutes (eligible_symbol_buckets) on 524 markets, 2026-09-09 00:00 to 2026-10-09 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.
Reproducibility key (q#b46db257)
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
- 6aa6f816779a152bcf5c77d802d76701e4187f3f162989b9fa25ed12f8a6dd2c
- query hash
- b46db257ec51ceef5445f3ad3f1a377180385eaedba8557cfc51b2857b5d3a57
- scanned window
- 2026-09-09T00:00:00.000Z to 2026-10-09T00:00:00.000Z (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.funding_norm",
"gte",
0.9
],
[
"times.anchor_time",
"between",
[
"2026-09-09T00:00:00.000Z",
"2026-10-09T00:00:00.000Z"
]
]
]
},
"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.funding_norm","gte",0.9],["times.anchor_time","between",["2026-09-09T00:00:00.000Z","2026-10-09T00:00:00.000Z"]]]},"sort":["times.anchor_time","desc"],"page":{"limit":50,"cursor":null}}'