Screen S&P 500 stocks for Volatility Contraction Patterns using Financial Modeling Prep API.
npx skills add https://github.com/Fabio29T/Trading-Skills --skill vcp-screener
Please help me install this Agent Skill. Skill: vcp-screener Source: https://github.com/Fabio29T/Trading-Skills/tree/main/skills/vcp-screener Command: npx skills add https://github.com/Fabio29T/Trading-Skills --skill vcp-screener
This Skill helps you identify high-probability stock trading opportunities by automatically screening for Mark Minervini's Volatility Contraction Pattern (VCP), a powerful setup for Stage 2 uptrend stocks.
Use the vcp-screener skill to screen the S&P 500 for Volatility Contraction Patterns.
High-intent search queries and answers about installing and using this skill.
You screen for the Volatility Contraction Pattern (VCP) by running a 3-phase pipeline that pre-filters S&P 500 stocks, applies Minervini's 7-point Trend Template, and detects contracting volatility near breakout pivot points.
A VCP setup is a Volatility Contraction Pattern where a stock in a Stage 2 uptrend forms a tight base with progressively contracting price volatility. This Skill identifies these patterns and scores them from 0 to 100 to signal potential breakout opportunities.
You find Stage 2 uptrend stocks by applying Minervini's 7-point Trend Template as a filter. This Skill uses the Trend Template to confirm the uptrend phase before scanning for tight bases with contracting volatility.
Yes, you need a Financial Modeling Prep API key. The Skill utilizes this API to retrieve the historical stock data required for executing the pre-filter, Trend Template analysis, and VCP detection phases.
No, this VCP screener is specifically designed to screen S&P 500 stocks. The pipeline targets this index to find high-probability Stage 2 uptrend candidates forming Volatility Contraction Patterns.
VCP scoring works by assigning a composite score from 0 to 100 based on pattern quality. The Skill generates a ranked watchlist with actionable guidance, categorizing setups as Textbook, Strong, Good, or Developing breakout candidates.
darkounus90Screen S&P 500 stocks for Volatility Contraction Pattern using Python.
IgorGanapolskyCalculate optimal trade position sizes using ATR, Kelly Criterion, and volatility-adjusted methods.
ajeeshworkspaceScreen NSE/BSE stocks for Volatility Contraction Patterns within Stage 2 uptrends.
mahmoud20138Identify stock chart breakouts using price-action patterns and volume confirmation.
