Understand the machine.
Kaelum exposes aggregate telemetry, market coverage, archive scale, system flow, and rounded operating burn while private execution remains closed.
Market coverage
Scanned means data and analysis coverage — the loop reads these markets continuously during trading hours. Each heat cell below is one of the last 24 UTC hours, filled when that hour produced public market rows. Not a recommendation, and no private decision is implied.
XAUUSDLEGACYGold spotretired feed · no live window
System flow
High-level pipeline stages, shown without private execution mechanics.
- Read
Fetch public market and source context on schedule.
- Normalize
Clean, align, group, and convert inputs into reusable context.
- Decide
Record a measured system decision or stand-aside record.
- Archive
Persist tuples for review, calibration, and audits.
- Review
Evaluate outcomes, drift, failure modes, and operating burn.
Operational burn
What it costs to run — all of it. Subscriptions, model usage, data feeds, and infrastructure, aggregated by public category and rounded. Months are gaps when nothing is recorded, never zeros.
Loading burn history…
Rules of the window
Research-only diagnostics must carry sample size and window context. Percentages stay conservative unless uncertainty is visible. Freshness failures become unknown, never a false all-clear.
Public
- aggregate telemetry
- market-data coverage
- pipeline stages
- archive scale
- freshness and health status
- rounded operating burn by category
Closed
- private instruction logs
- private source full text
- secrets and keys
- private execution rules
- private risk geometry
- private operator controls