AI Agent Skills

Open-source infrastructure and data orchestration platform for risk decisioning

Create a global market conditions report spanning equities, rates, FX, commodities, risk appetite, and sector rotation.

Evaluate systematic strategy ideas through signal testing, statistical validation, decay, execution costs, and model-risk review.

Perform a forensic company financial-statement review across earnings quality, health, fraud risk, and operating efficiency.

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.

Estimate a public companys intrinsic value through DCF, relative, and sum-of-the-parts valuation methods.

Screen equities with systematic value, momentum, quality, volatility, size, and growth factor frameworks.

Assess business quality, economic moats, management, competitive positioning, and durable value creation.