Systematic Trading Technology
Trading systems engineered for evidence, control and execution.
ALMASI develops systematic trading technology from traceable strategy logic through controlled automation, validation and deployment gates.
Validation before claims. Controls before capital.
What ALMASI builds
Engineering discipline, not a signal service.
ALMASI combines AI-assisted research and software engineering with systematic rule implementation, execution and risk telemetry, and a validation architecture that gates every deployment decision.
Technology lifecycle
From knowledge to controlled deployment.
Knowledge
Strategy sources and market context are captured and traced to their origin.
Rules
Ambiguity is resolved into explicit, testable rules before any code is written.
Implementation
Rules become auditable, state-driven software, not shortcuts.
Telemetry
Every decision the system makes is logged with a reason.
Validation
Rules and code are tested against historical and live-forward evidence.
Controlled deployment
Nothing reaches live without an explicit human/Owner promotion gate.
Risk & execution architecture
Automation is only useful when its authority is bounded.
Hard guards
Non-negotiable stop conditions that no override can bypass.
Environment identity
The system always knows, and logs, whether it is in research, demo or live context.
Evidence gates
A capability is not promoted until its evidence clears the required gate.
Human/Owner promotion authority
No unrestricted AI sits in the production order loop; a human makes the final promotion call.
Partners
Evaluate the technology before you buy the story.
MT5 automation engineering
Structured evaluation of automation and rule implementation.
Validation & test architecture
Demo-safe validation workflows and QA structure.
Execution & risk telemetry
Reason-code visibility into every material decision.
Bounded technical pilot
A time-boxed technical evaluation and integration engagement.
Evidence policy
Evidence has states.
We publish a claim only after it has moved through research, CI, runtime, integration and end-to-end verdicts, with an approved reference behind it. Until then, the honest answer is "not yet verified" — not a placeholder number.
Request validation methodology