Proof
Case studies
Real examples of strategy extraction, audited backtesting, and production automation across MT5, Pine Script, and Python — each broken down by problem, approach, deliverables, and auditability.
MT5 Expert Advisor with trade‑by‑trade audit overlays and risk guardrails.
Backtest assumptions: 1.2 pip spread, $7 commission per lot, tick‑level data. Past performance does not guarantee future results. Out‑of‑sample validation recommended before live deployment.
Pine Script indicator designed for non‑repainting signals and clean alert logic.
Python research harness for feature design, walk‑forward validation, and model monitoring.
ML is optional and should be added only when the data, validation, and monitoring plan justify it. Avoid implying guaranteed returns or “AI that always adapts.”
Send your notes, screenshots, or chat exports. We'll turn them into a structured specification and an auditable backtest plan.