A stateful, context-aware decision-support layer designed to help users understand markets, interpret trading signals, and apply systematic frameworks — while execution always remains under user control.
The AI Trading Strategist interprets and contextualizes platform-generated signals. All execution decisions remain with the user.
Traditional AI tools fail in trading contexts because they lack persistent memory and contextual understanding.
Most AI systems operate statelessly. Each interaction begins without memory of prior conversations. The system cannot track what concepts have been explained, which strategies have been discussed, or how the user's understanding has evolved.
In trading, this creates significant friction. Users must repeatedly re-explain their positions, re-establish context, and re-introduce terminology. The AI provides generic responses that ignore weeks or months of prior interaction.
This lack of continuity prevents the development of nuanced, adaptive guidance. The AI cannot calibrate explanation depth based on demonstrated competence, cannot reference prior discussions when relevant patterns emerge, and cannot build progressively on established understanding.
Statefulness enables persistent context, accumulated history, and adaptive guidance over time.
The system retains information about prior interactions, strategies discussed, and user-specific parameters across sessions.
Each interaction builds on previous ones. The system tracks what has been explained, questioned, and applied over time.
The system calibrates complexity based on demonstrated user competence, avoiding repetitive basic explanations.
Responses evolve based on accumulated interaction history, providing increasingly relevant and specific context.
Statefulness is an architectural property, not a personality trait. The AI Trading Strategist maintains structured records of interaction context, enabling continuity without simulating human memory or consciousness.
Clear boundaries between intelligence delivery and trade execution.
All signals referenced by the Strategist are generated globally by the platform's autonomous systems. The Strategist interprets and explains — it does not create or personalize signals.
The Strategist draws from decades of documented trading research and verified methodologies.
The AI Trading Strategist is grounded in institutional-grade research. It operates on the foundation of 35+ years of documented trading methodologies, quantitative frameworks, and systematic strategy development.
This is not general-purpose AI trained on internet data. The Strategist's knowledge base is derived from proprietary research, verified backtesting results, and long-term market behavior analysis developed by Alex Vieira since 1989.
The interpretation layer provides context for platform-generated signals, explains the reasoning behind systematic approaches, and supports user understanding of how institutional frameworks relate to current market conditions.
The Strategist provides context and interpretation, not instruction or advice. All decisions and execution remain entirely with the user.
Clean separation of responsibilities across signal generation, interpretation, and execution.
QMI AI
AI Trading Strategist
User + Broker
QMI AI generates signals globally based on quantitative analysis, regime detection, and systematic criteria. Signals are not personalized to individual users.
The AI Trading Strategist explains signal context, interprets market conditions, and provides educational support. It bridges raw data and user understanding.
All trade execution occurs externally through the user's chosen brokerage. The platform provides intelligence — the user controls capital and execution.
This architecture ensures clear accountability: signal quality is platform responsibility, interpretation supports user decision-making, and execution remains fully under user control.
The AI Trading Strategist serves users who prioritize understanding over shortcuts.
Users applying structured, rule-based approaches who value contextual interpretation of signals and regime conditions.
Users who want to understand the reasoning behind market analysis, not just receive outputs without context.
Professionals who require clear signal rationale and methodological context to support their own analysis and execution.
The AI Trading Strategist is not designed for users seeking automated trade execution, personalized portfolio management, or hands-off investment solutions. It provides interpretive context for users who retain full control over their own decisions and execution.