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.

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

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.

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

QuestDB is a high performance, open-source, time-series database

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.

ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.

Open-source investment research platform for financial analysis agents.

Stock analysis skill for market research and financial reasoning workflows.

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

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.

Rank recent market-moving news and explain likely effects on equities, commodities, monetary policy, and earnings.