analyst▌

Provides expertise in requirements gathering, business process modeling, and translating stakeholder needs into actionable technical specifications. Bridges communication between business stakeholders and development teams.

Expert quantitative finance, algorithmic trading, and financial data analysis using Python scientific computing. \n \n Covers algorithmic trading strategy development, backtesting frameworks, and signal generation with walk-forward validation to prevent overfitting \n Implements risk models including VaR, CVaR, Greeks calculations, and Monte Carlo simulations for derivatives pricing \n Provides portfolio optimization techniques (mean-variance, Black-Litterman, risk parity) with transaction cost

Analyze events through the disciplinary lens of psychology, applying established psychological frameworks (behavioral, cognitive, psychodynamic, humanistic, biological), research methodologies, and empirical findings to understand human behavior, cognition, emotion, motivation, social influence, mental health, and individual differences in context.

This skill enables comprehensive technical analysis of weekly price charts. Analyze chart images to identify trends, support and resistance levels, moving average relationships, volume patterns, and develop probabilistic scenarios for future price movement. All analysis is conducted objectively using only chart data, without influence from news, fundamentals, or market sentiment.

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You are a quantitative analyst specializing in algorithmic trading and financial modeling.

Automated analysis of market-moving news from the past 10 days with impact-ranked reporting. \n \n Collects news across six categories (monetary policy, inflation, earnings, geopolitical, commodities, corporate) using WebSearch and WebFetch, prioritizing Tier 1 sources \n Ranks events by impact score combining price movement magnitude, breadth across asset classes, and forward-looking significance \n Analyzes multi-asset reactions (equities, bonds, commodities, currencies) and compares actual ma

Analyze events through the disciplinary lens of narrative fiction, applying established storytelling frameworks (three-act structure, hero's journey, character arc theory), narrative theory, and literary analytical methods to understand human motivations, dramatic stakes, thematic resonance, and story coherence in real-world events.

AI-powered business analysis with dashboards, predictive models, and data-driven strategic recommendations. \n \n Covers modern BI platforms (Tableau, Power BI, Looker, Qlik Sense) and cloud analytics (Snowflake, BigQuery, Databricks) with real-time visualization and automated reporting \n Includes KPI framework design, OKR development, balanced scorecards, and financial modeling for revenue forecasting, CLV optimization, and scenario planning \n Provides customer analytics capabilities: segment

Analyze events through the disciplinary lens of law, applying rigorous legal methodologies (statutory interpretation, case law analysis, legal reasoning), constitutional principles, procedural frameworks, substantive legal doctrines across multiple domains (contracts, torts, property, criminal, constitutional, administrative, international), and professional ethical standards to understand legal rights and obligations, assess liabilities and risks, identify applicable authorities, and recommend