Notes & deep dives
Editorial pieces on the engineering and research side of trading. Education only — never advice or signals.
The Engineering Checklist Before You Automate Anything
A pre-flight engineering checklist — idempotency, validation, observability, kill-switches, secrets, sandboxing, rate limits, reconciliation, and alerting.
Read postHow to Read a Backtest Without Fooling Yourself
A skeptical, engineering-minded guide to interpreting backtests: overfitting, out-of-sample testing, costs, lookahead bias, survivorship, and reading equity curves.
From Alert to Execution: A Decoupled Automation Architecture
A pragmatic pattern for turning TradingView alerts into validated, idempotent, observable messages — without coupling ingestion to execution.
Five Backtesting Mistakes That Quietly Inflate Results
Lookahead bias, survivorship, overfitting, ignored costs, and in-sample reporting — the subtle errors that make a backtest look better than reality.
Introducing FactorQX: Tools for the Engineering Side of Trading
Why we built a developer-docs-style platform for algorithmic trading education and tooling — and the principles behind it.