In Development

AI Trading Strategist

Research That Remembers the Thesis.

The persistent evolution of today's AI Expert, designed to retain relevant research context, follow changing evidence and reason across sessions as markets move.

From AI Expert to AI Trading Strategist

Ask Autonomous Trading's intelligence today. Build research context that evolves with the market in the planned Strategist.

Available Today

AI Expert

Use the current research assistant to ask questions about Autonomous Trading intelligence and available research. It retrieves relevant knowledge and supports follow-up questions within the current conversation.

Today's Dify-based experience does not maintain the persistent, longitudinal thesis state planned for the Strategist.

In Development

AI Trading Strategist

Designed to carry a market thesis and relevant research context across sessions, track changes in evidence and assumptions, and reason using accumulated research history.

A planned tool for sustained market research, built on the intelligence already available through Autonomous Trading.

How You Get the AI Trading Strategist

The AI Trading Strategist is in development. These are the planned product entitlements when it becomes available.

QMI AI

Optional paid add-on.

Autonomous One

Included when launched.

Founder Edition

Included when launched.

This is one AI Trading Strategist architecture. The research, intelligence, data and tools it can access follow your underlying product entitlements. AI Expert is available today; the Strategist is not yet live.

Markets Change. Your AI Should Remember Why.

A research thesis changes as new trading signals, model updates, price action and evidence arrive. The Strategist is being designed to interpret what changed in light of what came before.

Persistent Context

Retains relevant thesis, assumptions and research context across sessions.

Accumulated History

Tracks how the thesis and supporting evidence have evolved.

Progressive Understanding

Interprets new evidence in the context of prior research.

Adaptive Guidance

Research responses reflect the evolving thesis rather than treating each question as isolated.

One Intelligence Layer. Persistent Research State.

The planned Strategist pairs shared Autonomous Trading intelligence with logically isolated research state for each entitled user.

Shared Autonomous Trading intelligence

Relevant research, quantitative and QMI model intelligence, trading-signal history and rationale, methodology and documented historical evidence can provide a common research foundation where connected and available.

Logically isolated research state

Each entitled user's planned Strategist state can retain a market thesis, assumptions, instruments under study, invalidation conditions, supporting evidence, model changes and unresolved research questions.

Architecture in development: The current AI Expert uses Dify. The planned Strategist would use a shared Letta persistent-agent service with logically isolated research state per entitled user. It does not require a separate Letta installation or separately trained model for each user. Customer research state is not shared institutional intelligence.

Planned Research Scope

Research continuity and interpretation, with the customer retaining every investment and trading decision.

Planned Capabilities

  • ✓ Synthesize research and track a thesis over time
  • ✓ Interpret new evidence against prior assumptions
  • ✓ Explain trading-signal and model context
  • ✓ Explore research scenarios where supported

Outside Product Scope

  • ✕ Executing customer trades or controlling brokerage accounts
  • ✕ Managing customer capital or personal portfolios
  • ✕ Personal financial profiling or suitability decisions
  • ✕ Guaranteed market outcomes

Built on Autonomous Trading Intelligence

Memory alone is not the product. The value comes from combining research continuity with an established market-intelligence system.

The Strategist is planned as an interpretation layer for Autonomous Trading research. Its intended foundation includes quantitative research, QMI model intelligence and the structured rationale behind historical trading calls where available.

That research history lets future questions refer to what the system called, why the thesis existed, what changed and what followed.

  • ✓ Existing research and methodology
  • ✓ Quantitative and QMI model intelligence
  • ✓ Trading-signal history and rationale where available
  • ✓ Documented historical market evidence

How It Fits Into the Platform

Autonomous Trading intelligence informs persistent interpretation. The customer decides what to do.

Autonomous Trading Intelligence

Trading signals · QMI · research

AI Trading Strategist

Persistent research interpretation

User Decision

Research, judgment and execution

The Strategist is designed to support research and interpretation. It does not place broker orders or manage customer capital.

Who Benefits From Research Continuity?

For users who revisit a thesis as markets and evidence evolve.

Systematic Traders

Track how signals, model conditions and invalidation levels change across a research cycle.

Research-Driven Investors

Keep the evidence and assumptions behind a company or market thesis connected over time.

Disciplined Decision-Makers

Revisit prior analysis before forming an independent view on new market information.