Document Statement
This article concludes the Rust Quant Operator foundational series.
Its purpose is to show that the operator model defined so far is domain-agnostic.
Author
yuer
Author of EDCA OS
Proposer of controllable AI standards
Repository: https://github.com/yuer-dsl
Contact: lipxtk@gmail.com
- Why de-quantization matters
Indicators are not the core problem.
Execution semantics are.
- What has already been defined
Operators, state, time semantics, execution kernels, batch consistency.
None are financial concepts.
- Execution primitives
Operators define:
execution
time
state
failure
composition
Operator categories
pub enum OperatorCategory {
Transform,
Reduce,
Stateful,
Windowed,
Decision,
Risk,
}Decision as an operator
Rules and gates are execution units.
- Metadata and registry
Systems need descriptors, not just code.
- System boundaries
Quant, risk, AI agents are all execution graphs.
- Why this matters for AI
AI operates inside constrained operator spaces, not free-form logic.
- Artifacts frozen
OperatorCategory
OperatorDescriptor
OperatorRegistry
Domain-agnostic execution model
- Closing
If this model can be reused outside finance,
it has succeeded.
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