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Axel Nilsson's Projects

abacus icon abacus

Automatic optimal sequential investment decisions. Forecasts made using advanced stochastic processes with Monte Carlo simulation. Dependency is handled with vine copulas.

bayesian-methods icon bayesian-methods

Bayesian statistics applied to practical problems. Including single parameter models, Bayesian regression and MCMC methods. Based on labs in Bayesian Statistics at Liu.

deep-reinforcement-stock-trading icon deep-reinforcement-stock-trading

A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.

financial-mathematics-notebooks icon financial-mathematics-notebooks

Notebooks in financial mathematics. Ranging from risk management to portfolio management and stochastic processes for financial markets.

machine-learning-notebooks icon machine-learning-notebooks

Notebooks in Machine Learning. Including exponential, polynomial, logistic and softmax regression. Time series analysis. Neural Networks.

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