Building the Future of
Explainable AI Trading
We believe traders deserve transparent AI that shows its work — not black boxes that demand blind trust.
Our Mission
Pattern Memory was founded on a simple premise: if AI is going to help traders make decisions worth millions, they should understand why it's making those recommendations.
We built a Vector-Based Regime Learning engine from scratch in Rust — not because it was easy, but because existing tools couldn't provide the transparency and speed institutional traders demand.
Every pattern match comes with historical evidence. Every prediction shows its reasoning. No hidden layers. No mystery.
Transparency First
Every AI decision is backed by visible historical evidence
Institutional Speed
Sub-millisecond pattern matching across millions of candles
Rigorous Backtesting
Walk-forward validation, no lookahead bias, honest metrics
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Our Technology
Deep dive into the VBRL architecture and Rust-powered pattern matching engine.
Whitepaper
Full technical documentation and research behind our approach.
Try It Live
Experience transparent AI pattern matching with real market data.