Community Plugin

quantitative-trading

Quantitative analysis, algorithmic trading strategies, financial modeling, portfolio risk management, and backtesting

1.2.0

Updated 2 months ago

AI Insight

Provides quantitative analysis, algorithmic trading strategies, financial modeling, portfolio risk management, and backtesting capabilities for financial markets.

Why this plugin

Specialized fintech plugin with quantitative trading expertise, offering algorithmic strategies and risk management tools not found in general-purpose AI assistants.

Prerequisites

Financial data access, trading platform APIs, Python libraries (pandas, numpy, backtrader), and understanding of market concepts.

trading

fintech

quantitative

Install

Add the repository(one-time)

/plugin marketplace add engineerwithai/engineerwith-agents

Install the plugin

/plugin install quantitative-trading@claude-code-workflows

Components

Agents

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.

Skills

backtesting-frameworks

inherits

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.

risk-metrics-calculation

inherits

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.

Stats

Stars0

MaintenanceGood

Last Commit2 months ago

Community Promotion

Collections

Links

View on GitHub

View README

Plugin Marketplace JSON

Homepage

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