Anna Signaevskaya

Designed data-informed behavioral interventions for traders operating in high-risk decision environments. Analyzed trading-journal data to identify recurring behavioral patterns and built a psychometric trader archetype assessment linking behavior to decision quality and risk.

Architected a FinTech/EdTech platform focused on decentralized learning and educational investing. Developed product logic and behavioral segmentation frameworks connecting cognitive biases, user behavior, and risk/performance to improve consistency and decision quality.

Co-founded a crypto consulting company providing investment strategy, portfolio risk assessment, and investor education. Advised clients with portfolios of $50,000+ using behavioral, risk, and product-focused guidance and optimization.

Managed medium-risk investment portfolios and executed disciplined strategies that outperformed market benchmarks by approximately 10–15%. Conducted investor consultations and trader education grounded in portfolio strategy and market analysis.

Master's degree in Behavioral Economics focused on simulating short strategies on new Bybit listings using TP/SL testing, grid search, and entry-timing analysis to validate trading decisions with data rather than intuition.

Study in Practice Psychology examining how data-based validation can replace intuition-first assumptions in volatile trading environments.

Bachelor's Degree in Psychology, including building an interactive market simulation across calm, bubble, crash, and stressed regimes to study how end-state similarity can mask risk-perception differences.