WER BIN ICH

ÜBER MICH

On the technical front I build and maintain a broad suite of algorithmic trading tools, portfolio analytics and backtesting frameworks. Many of these are open-sourced on GitHub, where they are followed by other analysts and market practitioners. The “Macro Dashboard”, which is the most used of my projects is accessible at the top of this page. My projects usually blend Python’s data and machine learning capabilities with insights into market microstructure, converting raw financial data into trading ideas that are robust and testable. I also created multiple Pine Script indicators on TradingView that traders use to manage entries, exits and risk based on systematic signals.

Right now, I’m developing “Financial Analyst AI” an initiative designed to scale institutional grade equity research through automation and reproducible quantitative workflows. My current focus involves deepening his knowledge of PyTorch to integrate more advanced machine learning and AI methods into fundamental and factor based stock selection. Throughout my work the goal is to bridge academic rigor with practical portfolio impact by giving investors transparent, code backed research rather than black box opinions. I’m always open to collaborations and new opportunities.