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SergeiDiachenko
@sergosumy
Python Quant Developer I Backtesting and Strategy Validation
Polonia
Inglese, Russo, Ucraino
Chi sono
I'm a Python quant developer specializing in trading-strategy backtesting and
validation. I use the methods institutional desks rely on — Combinatorial
Purged Cross-Validation, Probabilistic & Deflated Sharpe Ratio, and static
look-ahead/leakage audits — to answer one question: is your edge real, or just
overfitting? My open-source validation toolkit (with a full test suite) is on
GitHub. I work async-first and deliver clear, bilingual reports: an executive
verdict plus a technical appendix. If your backtest looks too good to be
true, that's exactly what I check.
Competenze
SergeiDiachenko
offline •
Tempo di risposta medio: 1 ora
Consulta i miei servizi
Modello statistico e analisi
I will validate your trading strategy and detect overfitting
Analisi finanziaria
I will analyze your trading track record and prove if your edge is real or overfit
Esperienza lavorativa
Quantitative Developer (Backtesting & Validation)
Self Employed • Lavoratore autonomo
Dec 2023 - Present • 2 yrs 7 mos
Build and validate systematic trading strategies in Python. Developed a backtesting engine with forward-walk simulation, transaction-cost modeling, MAE/MFE analytics and static look-ahead/leakage auditing, plus an institutional validation stack: Combinatorial Purged Cross-Validation, Probabilistic & Deflated Sharpe Ratio, and Monte-Carlo stress testing. Open-source validation toolkit published on GitHub.
