K-Dense Scientific Skills

K-Dense Scientific Skills is a skill package from K-Dense AI that brings rigorous scientific analysis methods into Claude Code. While not exclusively a trading tool, its statistical modeling and quantitative research capabilities are directly applicable to market analysis, strategy research, and portfolio analytics.

The skill covers a range of scientific computing methods. Statistical modeling includes linear and nonlinear regression, time series analysis (ARIMA, seasonal decomposition), and distribution fitting. The data analysis module handles exploratory data analysis, outlier detection, and feature engineering. For quantitative research, it provides Monte Carlo simulation frameworks, hypothesis testing workflows, and correlation/covariance analysis. Each method follows a structured approach: define the question, prepare the data, run the analysis, and interpret the results.

For traders, the practical applications include backtesting signal validity with proper statistical tests, modeling portfolio return distributions, running scenario simulations on position outcomes, and identifying regime changes in market data. The skill pairs well with market data MCP servers for live data feeds and with visualization tools for charting results. It brings the analytical rigor of a quantitative research workflow into an agent-driven environment where you can iterate quickly through natural language commands.