Intelligence-First Implementation Model
Axiom's roadmap is centered on generating permanent, evidence-backed trading knowledge before adding recommendation, workspace, or execution layers.
Current focus: Learning Engine, Decision Engine, Intelligence Assistant, Evidence Explorer, and Trade Review vertical slice.
Intelligence Before Interface
Intelligence-Centered Build Order
Phase 1Platform FoundationCompleted
Establish infrastructure, governance, Research Engine foundations, Historical Replay, OANDA connectivity, server execution, database persistence, and production deployment.
Goal: Create the foundation on which intelligence can be built.
Phase 2Intelligence FoundationNext
Deliver the Research Engine, Backtesting Engine, and Learning Database foundations needed to generate permanent trading knowledge.
- Historical Data Engine boundary
- Research hypotheses
- Backtesting Engine architecture and contracts
- Learning Database design
- Evidence records
Goal: Generate permanent trading knowledge.
Phase 3Recommendation EnginePlanned
Deliver evidence-based recommendations, confidence scoring, and risk proposals using knowledge stored in the Learning Database.
Goal: Recommend trades using learned evidence.
Phase 4Workspace FrameworkPlanned
Deliver Mission Control, Advisor shell, Trade Manager shell, and Unified Workspace structure.
Goal: Present intelligence through a professional interface.
Phase 5OANDA Practice IntegrationPlanned
Deliver trade execution, position monitoring, and journal automation in the OANDA Practice environment.
Goal: Execute approved recommendations in practice.
Phase 6Continuous LearningPlanned
Deliver trade outcome analysis, user behavior analysis, recommendation refinement, and confidence adjustment.
Goal: Improve automatically over time while remaining governed.
Phase 7Unified AI Trading PlatformPlanned
Complete integration of Research, Backtesting, Learning, Recommendations, Advisor, Replay, Journal, and Trade Management.
Goal: Deliver a self-improving evidence-driven trading platform.