About Kairos Signal

ESTABLISHED 2025

Kairos Signal is a quantitative signal engine. It generates statistical signals for 47 crypto perpetual markets using a 63-layer Symplectic Neural SDE called ByteDAG. The entire system runs on self-owned infrastructure. No cloud, no VC.

What It Does

ByteDAG runs a 3072-dimensional forward pass with 512-dimensional whiteboard features. The model ingests raw market tick data — 4.34 billion ticks stored in ClickHouse — and produces directional signals for 47 crypto perpetual futures contracts on Hyperliquid.

In signal validation from a $1,000 baseline, the system produced $1,863.04 (+86.3%) in cumulative signal performance.

The architecture is informed by 47 peer-reviewed mathematical sources spanning symplectic geometry, gauge theory, and topological data analysis. The layers are implemented in PyTorch, trained on real data, and tested empirically.

The 63-Layer Architecture

All raw tick data feeds into the ByteDAG model. The architecture is split into three main phases:

  • Symplectic Flow Integration (Layers 1-29): Volume-preserving continuous neural mappings that track temporal state anomalies.
  • Fractal & Stability Classification (Layers 30-33): Lyapunov exponents and subdifferential boundaries determining regime shifts.
  • Wilson Loop Gate (Layers 34-37): Obstruction filters that score and output high-conviction signals.

The remaining layers handle residual connections, normalization, and output projection.

By the Numbers

  • 63 layers in the ByteDAG neural SDE
  • 3,072 dimensions in the forward pass
  • 512 dimensions in the whiteboard feature space
  • 47 crypto perpetual futures covered
  • 4.34 billion market ticks in ClickHouse
  • 1,902 blog posts published
  • 47 peer-reviewed mathematical sources referenced
    • $1,000 → $1,863.04 (+86.3%) signal validation result

What It Is Not

This is not investment advice. Kairos Signal is not a broker-dealer, investment advisor, or financial services provider. It is a machine learning research product. All outputs are for research and informational purposes only.