Markets reward intelligence,
not intuition.
Every competitive advantage in trading eventually becomes infrastructure. We're building the infrastructure from day one.
AI is the edge
Financial markets are information-processing machines. The participant with the best signal extraction wins. Our systems achieve 75% directional accuracy across 5 years of out-of-sample data — finding patterns human traders cannot see and acting on them without hesitation or emotion.
Vertical integration
We built our own ML framework. We control the full stack from tensor operations to order execution — no dependency on Python runtimes, no vendor lock-in, no performance ceilings we can't break through ourselves.
Compounding advantages
Technology improves. Track records lengthen. Data accumulates. Relationships deepen. Every quarter we operate, the business becomes harder to replicate. We're not chasing a single edge — we're building a machine that finds the next one.
Two systems. One objective.
One system trades. The other thinks. Together, they form a vertically integrated trading intelligence that improves itself continuously.
Trading Engine
Our trading system processes live market data through a proprietary multi-resolution signal extraction pipeline, enforces risk limits, and executes orders — autonomously. 75% directional accuracy validated across 5 years of out-of-sample data.
Walk-forward validated with shuffled-label controls and seed stability tests. No lookahead bias. No curve fitting. A native macOS desktop app for monitoring positions, signals, and strategy performance.
Zerfoo
A production-grade ML inference and training framework written entirely in Go with zero CGo dependency. Runs 10+ model architectures at 245 tok/s — 20% faster than Ollama. Every trading signal we generate flows through Zerfoo.
Open source under Apache 2.0. 25+ custom CUDA kernels. OpenAI-compatible API. The Go ecosystem's answer to PyTorch — and our unfair advantage in production latency.
One language. One codebase. Zero compromise.
Most quant firms stitch together Python for research, C++ for execution, Java for infrastructure, and pray the interfaces don't break. We write everything in Go — from CUDA kernel bindings to REST APIs to model inference.
Single binary deployment. No runtime dependencies. No GIL. No framework lock-in. Research in Python, production in Go — same architecture, verified identical outputs.
Proof, not promises.
Every model passes through a six-test validation gauntlet: walk-forward evaluation, multi-seed stability, stride sensitivity, shuffled-label controls, reverse walk-forward, and label balance verification. No lookahead bias. No curve fitting. No exceptions.
A decade of compounding.
We think in decades. Each phase builds the foundation for the next — expanding into new markets and compounding both capital and capability.
First Capital
Model validated at 75% accuracy over 5 years. Production infrastructure deployed. Paper trading underway. Transitioning to live capital with real-time risk controls.
Expansion
New asset classes. Multi-strategy portfolio management. 12-month audited track record. Institutional-grade reporting.
Scale
Fund launch. Global markets. The system expands into new territories and begins discovering strategies autonomously.
Apex
Full-spectrum market coverage. The world's most valuable trading intelligence — built by machines, for machines.
Our ML engine is open source. On purpose.
Zerfoo is the ML inference framework that powers every trading signal we produce. We open-sourced it because the best infrastructure gets built in the open — by the community, for the community.
A stronger foundation benefits everyone. What we build on top of it is ours.
Explore Zerfoo →"I spent eight years watching human emotion destroy perfectly good trading strategies — including my own. So I decided to remove the human from the loop entirely."
David built distributed systems at scale at Zendesk, then taught himself machine learning from first principles. Feza is not a side project or an experiment — it's the convergence of deep infrastructure expertise and an obsessive conviction that markets belong to machines.
One founder. A fleet of AI agents. Building the most automated trading company on earth.