Can I use custom criteria for stock screening?

Yes, the skill allows you to define specific parameters for metrics like P/E ratios, ROE, debt-to-equity, and technical indicators like RSI or price-over-moving-averages.

Does this skill provide real-time financial advice?

No, this is a research tool designed to automate quantitative screening based on user-defined parameters. All results require further due diligence and do not constitute financial advice.

How are the results ranked?

Results are ranked using a composite scoring system that weights five key factors: Valuation (25%), Quality (25%), Growth (20%), Technicals (15%), and Risk (15%).

What investment styles does the Stock Picker support?

It supports a wide range of styles including Value, Growth, Quality, Momentum, Dividend, and GARP (Growth at a Reasonable Price).

Stock Picker

Name: Stock Picker
Author: ZhiruiFeng

byZhiruiFeng

•

Data Science & ML

Screens and analyzes stocks using quantitative multi-factor models to identify high-potential investment opportunities.

About

The Stock Picker skill transforms Claude into a sophisticated financial analyst capable of performing complex multi-factor stock screening. It allows users to discover equities based on specific investment styles—including value, growth, quality, and momentum—by applying rigorous quantitative filters and composite scoring. Whether you're looking for undervalued dividend payers or oversold quality companies, this skill automates the research funnel by ranking candidates based on valuation, financial stability, and technical signals, delivering structured reports to support informed investment research.

Key Features

Multi-factor quantitative screening (Value, Growth, Quality, Momentum)
Automated reporting with sector and market cap distribution analysis
Technical analysis integration including RSI and Moving Averages
Preset investment strategies like GARP and Small Cap Value
Customizable factor-weighting and composite scoring system
1 GitHub stars

Use Cases

Generating a ranked list of high-growth companies with reasonable valuations (GARP)
Identifying undervalued quality stocks during market pullbacks for contrarian plays
Screening for sustainable high-yield dividend stocks for income-focused portfolios

About

Key Features

Multi-factor quantitative screening (Value, Growth, Quality, Momentum)
Automated reporting with sector and market cap distribution analysis
Technical analysis integration including RSI and Moving Averages
Preset investment strategies like GARP and Small Cap Value
Customizable factor-weighting and composite scoring system
1 GitHub stars

Use Cases

Generating a ranked list of high-growth companies with reasonable valuations (GARP)
Identifying undervalued quality stocks during market pullbacks for contrarian plays
Screening for sustainable high-yield dividend stocks for income-focused portfolios