Our third guest in Market Masters is Martí Castany, a Spanish Quant Researcher and Portfolio Manager. With more than a decade of experience in the systematic investment sector, Martí has ​​focused on developing statistical models, data analytics and cleansing, and quantitative risk management.
In our latest episode, Martí explains how he incorporates data science techniques into both his analysis of the financial markets and the development of robust trading strategies.
Martí also dives deep into a key concept that has greatly influenced his career: uncertainty in trading, how to measure it and use it in the decision-making process for choosing assets and blends in portfolios.
Don’t miss this episode if you are interested in integrating data science to empower your trading further! 🚀
You can learn more about Martí’s work here 👇
komalogic.com/
/ komalogic
/ komalogic
The content of this interview is for informative and entertainment purposes only and is not to be construed as financial and/or investment advice. CFDs are complex instruments and come with a high risk of losing money rapidly due to leverage. 62% of retail investor accounts lose money when trading CFDs with this provider. You should consider whether you understand how CFDs work and whether you can afford to take the high risk of losing your money. Past performance is not a reliable indicator of future results.
00:00 Interview with Trader and Data Scientist Martí Castany
01:39 Background in Data Analysis and Data Science
03:47 Martí's Beginnings in Trading
06:39 Applying Data Science to Trading Strategies
08:52 Development Process of a Trading Strategy
16:05 Use of Synthetic Data
23:13 Having a Solid Infrastructure
26:06 Building a Proprietary Framework
32:45 Uncertainty in Trading and How to Measure It
45:16 Non-parametric Bootstrapping Process
55:59 Traits of a Successful Trader
57:40 Future Improvements to the Trading Approach