Investment Portfolio Mangement

Based on a large dataset of historical trading data a portfolios assets shall be managed using algorithmic trading, focusing on the optimal execution of trades.

 

The work involves using mathematical and computational techniques to analyze market dynamics and design trading strategies that maximize efficiency and minimize transaction costs. Datasets need to be preprocessed and stochastic models need to be designed, trained, optimized and analyzed.

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As a result, the platform constantly evolves and adapts to the changing markets to provide value to customers.

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Technologies: Python, Pandas, AWS

Focus: Machine Learning, Risk Management