Pedro Fragoso Carvalho

He worked as a Data Scientist in the Advanced Analytics team in the largest bank in Portugal and has experience on all aspects of the data life-cycle from data engineering to MLops. Since 2019, he has traded and developed on-chain strategies as a retail trader, including building AI-based tools and others from his academic work's findings. Also, has assisted cryptocurrency development teams, one with a coin among the top 20 by market capitalization, by providing insights through econometric analysis. His academic research topics are volatility, efficiency and portfolio management in cryptocurrency markets in both centralized and decentralized environments, for which he develops computational and mathematical methods. Pedro has a degree in Mechanical Engineering from IST, a Master's in Data Science from Nova IMS and is a PhD candidate in Data Science.

Releated Articles

 Internal Review

December 2022 – Teks Alpha NAV Systema Fund

 Internal Review

November 2022 – Teks Alpha NAV Systema Fund

 Internal Review

October 2022 – Teks Alpha NAV Systema Fund

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The information, analysis, and opinions expressed herein are for general information only and are not intended to provide specific advice or recommendations for any individual or entity. This material is not an offer, solicitation or recommendation to purchase any cryptocurrency, security or to invest in Teks Capital or in Systema Fund PCC. Forecasting represents predictions of market prices and/or volume patterns utilizing varying analytical data. It is not representative of a projection of any market, or of any specific investment. Please remember that all investments carry some level of risk, including the potential loss of principal invested all principal. They do not typically grow at an even rate of return and may experience negative growth. As with any type of portfolio, attempting to reduce risk and increase return could, at certain times, unintentionally reduce returns. Please remember that past performance may not be indicative of future results.