Peter F.

I build institutional-grade backtests, strategy validation and trade tooling across US equities, options, derivatives and crypto. Expect clean assumptions, reproducible runs, and clear diagnostics (PnL decomposition, robustness checks, and failure modes) that carry straight through to trade automation. What I do: • Backtesting & Strategy Validation: Rules-based strategies, scenario testing, overfit conscious optimization, and robustness/OOS checks. I focus on bias-aware implementation and interpretable results. • Hedging & Risk Overlays: Delta hedges, band/regime-based hedging policies, funding/carry modeling, and PnL decomposition (what comes from fees vs hedge vs carry vs costs). • Trading Data Pipelines: ETL workflows, time-series cleaning, automated storage, and reproducible datasets. Integrations with data sources and formats your workflow requires. • Automation & API Work: Automating analysis, integrating necessary APIs, building scheduled jobs, and removing repetitive manual work. Supporting broader automation tasks to reduce manual work. Tools & Skills Python • Pandas • NumPy • Time-Series Data • ETL • SQL • API Integration • Automation • Performance Stats My background I have a degree in Mechatronics Engineering. 3 years software development, and data analysis work focused on Python-based market analytics, ETL pipelines, and time-series research. 7+ years trading and building systems for small funds, prop traders and personal use. How I work: - Clear communication - Clean, reproducible code - Fast turnaround - Transparent assumptions and limitations - Respect for your idea, IP, and confidentiality If you have a strategy idea, data project, or automation you want built or tested, I can help. Feel free to send me a message! I’ll take a look at your project and let you know what’s possible.