AI Agent Skills

Backtestable AI trading agents and Python algorithmic trading strategies for stocks, options, crypto, futures, forex, SEC filings, FRED macro data, and real brokers.

Use unsupervised and supervised learning to predict stocks

Provides comprehensive technical analysis for stocks and ETFs using RSI, MACD, Bollinger Bands, and other indicators. Activates when user requests stock analysis, techni…

Evaluates market bubble risk through quantitative data-driven analysis using the revised Minsky/Kindleberger framework v2.1. Prioritizes objective metrics (Put/Call, VIX…

Modular Python library that provides an advanced event driven backtester and a set of high quality tools for quantitative finance. Integrated with various data vendors a…

A Python-based stock screener for NSE, India. PKScreener is an advanced free stock screener to find potential breakout stocks from NSE and show its possible breakout val…

Portfolio Construction and Risk Management book's Python code.

Assess business quality, economic moats, management, competitive positioning, and durable value creation.

✨ Download historical and real-time price tick data for Crypto, Stocks, ETFs, CFDs, Forex via CLI and Node.js ✨

Investment portfolio and stocks analyzing tools for Python with free historical data

Personal U.S. stock trading research workspace with market-intelligence agent skills and a local realtime charting app.

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

Screen equities with systematic value, momentum, quality, volatility, size, and growth factor frameworks.

Research a companys valuation, growth, profitability, balance sheet, competitive moat, and management quality.

Fast quantitative research and backtesting workflows for financial agents.

This skill should be used when analyzing market breadth charts, specifically the S&P 500 Breadth Index (200-Day MA based) and the US Stock Market Uptrend Stock Ratio cha…