Security & Governance

Pytrel is designed around explicit authority boundaries, controlled execution, and fail-safe behavior. 

Pytrel operates with explicit and enforced authority boundaries. These boundaries are designed to prevent unauthorized behavior, reduce operational risk, and maintain auditability. 

• The broker is the system of record for funds and positions.
• Pytrel executes strictly by rule and constraint
• Desktop and mobile interfaces are read-only and non-authoritative 
• Manual broker actions are respected and half further automated actions on affected positions
• Pytrel does not seize, override, or impersonate broker authority

Execution within Pytrel is governed by explicit rules and system state. The platform is designed to avoid discretionary behavior, silent drift, and unauthorized repetition.

• Fail-closed behavior when required conditions are not met
• Explicit gating before execution is permitted
• State awareness to prevent duplicate or conflicting actions
• State awareness to prevent duplicate or conflicting actions
• Constraint enforcement before scale

Pytrel is designed to fail safely. When uncertainty, missing inputs, or constraint violations occur, the system prefers inaction over speculative behavior.

• No execution without validated state
• No recovery via improvisation
• No attempt to “make up” for missed actions
• Controlled halt behavior rather than silent continuation

Changes to system behavior are governed and intentional. Pytrel avoids ad-hoc modification and uncontrolled parameter drift.

• Explicit versioning and configuration discipline
• Controlled updates rather than live mutation
• Clear separation between runtime behavior and monitoring surfaces

Pytrel favors data minimization and evidence-first records. The system collects and produces only what is necessary to operate, supervise, and audit behavior.

• Preference for derived state over raw data hoarding
• Append-only records where appropriate
• Transparent operational outputs
• No resale or redistribution of user data

• A prediction engine
• A discretionary trading tool
• A black-box system without accountability
• A platform that hides behind hype when outcomes vary