Triple Sun applies machine learning and statistical models to solve real problems in finance. We build algorithmic trading strategies, forecast market volatility, and develop risk management systems that work in practice.
Machine Learning for Financial Markets
We implement AI and machine learning models for systematic trading strategies, risk assessment, and pattern recognition in financial markets. Our work involves applying neural networks, econometric models, and statistical methods across all areas – from signal generation and volatility forecasting to credit scoring and fraud detection.
We don’t just research – we build the software needed to test, validate, and deploy these models in live trading environments. This includes backtesting frameworks, risk management systems, and automated trading infrastructure.
Algorithmic Trading and Risk Management Solutions
Our methods combine deep learning, traditional econometrics, and statistical analysis. Every model we develop undergoes rigorous testing before implementation.
We focus on practical results. Academic research informs our work, but the goal is always building systems that perform reliably in real market conditions.
Quantitative Finance Research and Publications
We actively contribute to academic research in quantitative finance and machine learning. Our publications in peer-reviewed journals cover topics like directional loss functions for algorithmic trading, volatility forecasting using deep learning, and hedging strategies with time series models.
Research is directly used in our development process, making sure our implementations include current advances in the field.
Financial Technology Expertise
Triple Sun was founded by dr Jakub Michańków, a quantitative researcher with a background in deep learning, algorithmic trading, and risk management, which allows to combine academic research with practical implementation experience. With a PhD in deep learning and financial time series forecasting and academic cooperation, we maintain connections to both theoretical developments and real-world applications.