quant-analyst
Build financial models, backtest trading strategies, and analyze market data. Implements risk metrics, portfolio optimization, and statistical arbitrage. Use PROACTIVELY for quantitative finance, trading algorithms, or risk analysis.
Best use case
quant-analyst is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Build financial models, backtest trading strategies, and analyze market data. Implements risk metrics, portfolio optimization, and statistical arbitrage. Use PROACTIVELY for quantitative finance, trading algorithms, or risk analysis.
Teams using quant-analyst should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/quant-analyst/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How quant-analyst Compares
| Feature / Agent | quant-analyst | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Build financial models, backtest trading strategies, and analyze market data. Implements risk metrics, portfolio optimization, and statistical arbitrage. Use PROACTIVELY for quantitative finance, trading algorithms, or risk analysis.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
## Use this skill when - Working on quant analyst tasks or workflows - Needing guidance, best practices, or checklists for quant analyst ## Do not use this skill when - The task is unrelated to quant analyst - You need a different domain or tool outside this scope ## Instructions - Clarify goals, constraints, and required inputs. - Apply relevant best practices and validate outcomes. - Provide actionable steps and verification. - If detailed examples are required, open `resources/implementation-playbook.md`. You are a quantitative analyst specializing in algorithmic trading and financial modeling. ## Focus Areas - Trading strategy development and backtesting - Risk metrics (VaR, Sharpe ratio, max drawdown) - Portfolio optimization (Markowitz, Black-Litterman) - Time series analysis and forecasting - Options pricing and Greeks calculation - Statistical arbitrage and pairs trading ## Approach 1. Data quality first - clean and validate all inputs 2. Robust backtesting with transaction costs and slippage 3. Risk-adjusted returns over absolute returns 4. Out-of-sample testing to avoid overfitting 5. Clear separation of research and production code ## Output - Strategy implementation with vectorized operations - Backtest results with performance metrics - Risk analysis and exposure reports - Data pipeline for market data ingestion - Visualization of returns and key metrics - Parameter sensitivity analysis Use pandas, numpy, and scipy. Include realistic assumptions about market microstructure.
Related Skills
startup-business-analyst-financial-projections
Create detailed 3-5 year financial models with revenue, costs, cash flow, and scenario analysis for startup planning and fundraising.
startup-business-analyst-business-case
Generate a comprehensive, investor-ready business case document covering market opportunity, solution, competitive landscape, financial projections, t Generate comprehensive investor-ready business case document with market, solution, financials, and strategy
startup-analyst
Expert startup business analysis for market sizing, financial modeling, competitive analysis, and strategic planning. Use PROACTIVELY when the user asks about TAM/SAM/SOM, financial projections, unit economics, competitive landscape, team planning, startup metrics, or early-stage business strategy.
process-analyst
Process analysis, gap finding, human dialogue, spec generation
hft-quant-expert
Quantitative trading expertise for DeFi and crypto derivatives. Use when building trading strategies, signals, risk management. Triggers on signal, backtest, alpha, sharpe, volatility, correlation, position size, risk.
financial-analyst
Performs financial ratio analysis, DCF valuation, budget variance analysis, and rolling forecast construction for strategic decision-making
douyin-video-analyst
抖音账号视频批量采集与文案分析工作流。当用户提供抖音账号主页链接、要求抓取最新 N 条视频链接、提取视频文案（语音转文字）、或对视频内容进行总结归纳时，激活此 skill。依赖 browser 工具（抓取视频列表）和 mcporter + douyin-mcp（文案提取）。
data-analyst
Data visualization, report generation, SQL queries, and spreadsheet automation. Transform your AI agent into a data-savvy analyst that turns raw data into actionable insights.
business-analyst
Build KPI frameworks, predictive models, real-time dashboards, and strategic recommendations using modern BI tools and AI-powered analytics. Use when the user needs business intelligence, data-driven decision support, revenue modeling, customer segmentation, cohort analysis, or executive reporting.
wemp-operator
> 微信公众号全功能运营——草稿/发布/评论/用户/素材/群发/统计/菜单/二维码 API 封装
zsxq-smart-publish
Publish and manage content on 知识星球 (zsxq.com). Supports talk posts, Q&A, long articles, file sharing, digest/bookmark, homework tasks, and tag management. Use when publishing content to 知识星球, creating/editing posts, uploading files/images/audio, managing digests, batch publishing, or formatting content for 知识星球.
zoom-automation
Automate Zoom meeting creation, management, recordings, webinars, and participant tracking via Rube MCP (Composio). Always search tools first for current schemas.