AI agents generate, validate, and deploy trading strategies continuously, and combine them into one self-optimizing portfolio — tracked in public, winners and losers.
Model / hypothetical performance, excludes fees, slippage, and taxes. Research and education only — not investment advice and not an offer to invest.
Strategy generation is one stage of a closed loop. The edge is the integrated system — generation, validation, deployment, and portfolio-level optimization running together — not any single strategy.
Agents read a library of research and turn a mandate into candidate strategies and runnable code.
Each candidate is backtested with transaction costs and risk limits; failing code self-heals before review.
Strategies that survive validation are deployed into the model portfolio under systematic rules.
Deployments are weighted and rebalanced into one portfolio, re-optimized by the system as conditions shift.
Why we can open the generator and still keep the edge. A generated strategy card is a slice. The deployment loop and portfolio optimization — the parts that compound — stay proprietary, and generated code is a starting point, not a turnkey system.
The forward model portfolio is the proof we lead with. Historical backtests are useful for method but weaker as evidence — they are shown separately and never blended into the forward track.
Walk-forward and timestamped. Each result is fixed at its own close. Model / hypothetical — no client capital is represented here.
Historical simulations of individual strategies, shown as research artifacts. Representative — not the live book, and not the forward track.
A representative strategy, generated and reviewed, published most weeks. These are research examples that show what the engine produces — not live positions.
New research examples are published here regularly.
The public side is read-only research. Hands-on access to the generation tool is by invitation, with clear ground rules that keep everything in research framing.
Selected researchers, writers, and partners get hands-on access to the strategy-generation tool to see how it works. The deployment loop and portfolio engine remain internal.
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