Every module, explained
Cazmireqo is built from a small set of focused modules that work together: data ingestion, signal processing, risk controls, and reporting. Below is a breakdown of what each one does and why it matters.
What Cazmireqo actually does
No black boxes. Each module has a defined input, a defined output, and a documented purpose inside the pipeline.
Normalized market data pipeline
Raw feeds from multiple sources are cleaned, timestamped, and normalized into a single schema before anything else happens. This removes gaps, duplicate ticks, and formatting inconsistencies that would otherwise distort downstream calculations.
Rule-based signal generation
Signals are produced by a fixed, versioned set of rules rather than a re-trained black box. Every signal that reaches the next stage can be traced back to the exact condition that triggered it, which keeps behavior consistent and auditable over time.
Position and exposure limits
Before any signal is acted on, it passes through a layer that checks position size, concentration, and exposure against configured limits. Signals that breach a limit are logged and held rather than silently discarded.
Structured output and logs
Every run produces a structured log: inputs used, signals generated, and decisions taken. These logs are exportable and form the basis of the historical records shown elsewhere on the site.
One pipeline, consistently applied
The same sequence of steps runs on every cycle: ingest, normalize, evaluate, constrain, log. Nothing is skipped or reordered depending on market conditions, which is what makes the process repeatable and easy to review after the fact.
- Pipeline Stages
- 4
- Logged Fields / Run
- 12+
From data to decision, in three stages
A simplified view of the sequence described above, grouped into the three stages users interact with most directly.
Collect
Market data is pulled on a fixed schedule and checked for completeness before it enters the pipeline.
Evaluate
The rule set is applied to the normalized data to generate candidate signals for the current cycle.
Record
Every candidate signal, whether acted on or held, is written to a log entry tied to that cycle's timestamp.
- Data Feeds — Connects to standard market data sources for ingestion.
- Export — Logs can be exported in common structured formats.
- Scheduling — Runs on fixed intervals rather than ad-hoc triggers.
- Configuration — Limits and parameters are set through a defined config layer.
What's included by design
A short summary of characteristics that are built into the pipeline versus characteristics it deliberately avoids.
| Characteristic | Cazmireqo |
|---|---|
| Traceable signal logic | Included |
| Configurable exposure limits | Included |
| Structured, exportable logs | Included |
| Guaranteed returns | Not applicable |
| Opaque, non-versioned decision logic | Not applicable |