Personal profile

Research interests

Eva Christodoulaki is a postdoctoral researcher with interests in evolutionary algorithms, optimisation, finance, mathematical analysis, and regulatory frameworks. Her PhD research applied Genetic Programming to algorithmic trading, leveraging fundamental, sentiment, and technical analysis to enhance market insights. Eva is focused on using quantitative methods to advance algorithmic solutions for financial stability, including models that incorporate market and environmental sustainability. She brings technical knowledge and analytical insights to research that connects finance with regulatory needs, supporting a resilient and sustainable financial sector. 

Keywords

  • Genetic Programming
  • Algorithmic Trading
  • Financial Stability
  • Financial Markets
  • Sentiment Analysis
  • Fundamental Analysis
  • Technical Analysis
  • Computational Finance
  • FinTech

Fingerprint

Dive into the research topics where Eva Christodoulaki is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or