AI Agent Skills

Audit concentration, factor exposure, correlation, liquidity, and stress-test risks in an existing portfolio.

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

A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities

AKQuant is a high-performance quantitative research and trading framework built on Rust and Python! 开源量化回测框架

Fast quantitative research and backtesting workflows for financial agents.

Measure portfolio returns, risk, drawdowns, benchmarks, rolling metrics, and strategy performance from approved data.

Create a structured post-earnings equity research update with key metrics, estimate changes, charts, and thesis review.

TradingAgents: Multi-Agents LLM Financial Trading Framework

QuantMind is an intelligent knowledge extraction and retrieval framework for quantitative finance.

Review portfolio-company financial packages, flag variance to plan, and prepare monitored KPI summaries.

Complete and link income statement, balance sheet, and cash flow statement model templates with formulas and checks.

Analyze a ticker with AlphaGBMs five-pillar framework: fundamentals, technicals, sentiment, flows, and valuation.

Open-source investment research platform for financial analysis agents.

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

Stock analysis skill for market research and financial reasoning workflows.

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