By Sumeet138
Quantitative analysis, algorithmic trading strategies, financial modeling, portfolio risk management, and backtesting
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.
Monitor portfolio risk, R-multiples, and position limits. Creates hedging strategies, calculates expectancy, and implements stop-losses. Use PROACTIVELY for risk assessment, trade tracking, or portfolio protection.
Build robust backtesting systems for trading strategies with proper handling of look-ahead bias, survivorship bias, and transaction costs. Use when developing trading algorithms, validating strategies, or building backtesting infrastructure.
Calculate portfolio risk metrics including VaR, CVaR, Sharpe, Sortino, and drawdown analysis. Use when measuring portfolio risk, implementing risk limits, or building risk monitoring systems.
Uses power tools
Uses Bash, Write, or Edit tools
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LLM application development with LangGraph, RAG systems, vector search, and AI agent architectures for Claude 4.6 and GPT-5.2
Interactive debugging, developer experience optimization, and smart debugging workflows
Distributed system tracing and debugging across microservices
REST and GraphQL API scaffolding, framework selection, backend architecture, and API generation
Technical SEO optimization including meta tags, keywords, structure, and featured snippets
npx claudepluginhub sumeet138/qwen-code-agents --plugin quantitative-tradingBacktest trading strategies with historical data, performance metrics, and risk analysis
量化交易策略開發
67 trading, DeFi, and quantitative finance Agent Skills. Market data APIs, on-chain analysis, backtesting, risk management, execution, tax compliance, and more.
Expert agents for cryptocurrency trading, DeFi strategies, and market analysis
Finance research, trading, risk, and portfolio Agent Skills grounded in LLMQuant Data. Bundles every llmquant-* category skill under skills/.
Multi-agent cryptocurrency intelligence system with 7 specialized AI agents, 65 MCP tools, cognitive learning, and self-evolving capabilities for comprehensive market analysis and paper trading.