AI Agent Skills

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

Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering

A set of ready to use Agent Skills for research, science, engineering, analysis, finance and writing.

Financial data platform for analysts, quants and AI agents.

FinRL®: Financial Reinforcement Learning. 🔥

Stock analysis skill for market research and financial reasoning workflows.

Fast quantitative research and backtesting workflows for financial agents.

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

Research a US equity across fundamentals, valuation, technical context, peers, and current market data.

Django Ledger is a double entry accounting system and financial analysis engine built on the Django Web Framework.

Stock Indicators for .NET is a C# NuGet package that transforms raw equity, commodity, forex, or cryptocurrency financial market price quotes into technical indicators a…

Create a multi-perspective technology-company earnings memo with evidence standards, valuation lenses, and anti-bias checks.

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

Research a companys valuation, growth, profitability, balance sheet, competitive moat, and management quality.

Prepare a pre-earnings briefing with consensus estimates, beat-miss history, and current market context.

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