Every Single Tick

About

Built by engineers who understand trading

Every Single Tick is a boutique engineering team focused on strategy automation, high-fidelity testing, and auditability. We're not here to sell hype — we're here to ship reliable systems.

FounderQuant / AI developer25+ years engineering
John Lazar

John Lazar

John has spent 25+ years building production software across finance, quantitative research, and crypto/DeFi engineering. He has led and delivered projects spanning strategy automation, backtesting, data pipelines, and AI/ML.

Credibility signals we can publicly verify include being listed as a Toptal trading software expert and having Stanford SCPD AI/ML teaching experience (course facilitation).

What we believe
  • • If a strategy can't be explained trade-by-trade, it can't be trusted.
  • • Specs prevent rework: clear rules first, then code.
  • • Backtests must state assumptions (spread/slippage/fees) and show limitations.
  • • AI/ML is optional — and must be validated responsibly.
Capabilities
  • • MT5 Expert Advisors (MQL5)
  • • TradingView indicators/strategies (Pine Script)
  • • Python research + backtesting
  • • C++ performance modules
  • • Data engineering + monitoring
  • • PyTorch model design (transformers, attention, multi-task)
  • • Reinforcement learning & generative models (VAE, GAN)
  • • Graph neural networks (Torch Geometric)
  • • Predictive models & time-series forecasting
  • • GPU computing (CUDA, Monte Carlo)
  • • LLM evaluation, deployment & distillation

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