Become a sponsor to Systematica
👋 Hi there!
Quantitative Research Analyst & Portfolio Manager with over a decade of experience in financial services, research, risk and investment management, I have a strong track record of developing advanced security selection techniques, quantitative models, and ML algorithms.
I’m experienced with VectorBT PRO, specializing in developing custom strategies, backtesting, agentic solutions and data analysis.
If you’re looking for someone skilled in implementing and optimizing strategies, I’d be glad to help bring your projects to life.
Feel free to reach out to discuss how we can collaborate!
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1 sponsor has funded ActurialCapital’s work.
Featured work
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ActurialCapital/synthetica
Generate synthetic time series data.
Python 3 -
ActurialCapital/autotuner
Automated hyper-parameter tuning for scikit-learn estimators using optuna.
Python 2 -
ActurialCapital/blocks
Extra blocks for scikit-learn features.
Python -
ActurialCapital/statespace
Enhance your portfolio construction process using advanced optuna fine-tuning techniques.
Python -
ActurialCapital/fold
Time-series cross-validation on steroids. Multi-purpose. Fully compatible with scikit-learn.
Python -
ActurialCapital/unbanked
The Bankers smart contract introduces both unique Ethereum-based assets and a Dutch auction system to ensure fair market pricing.
Solidity