Screen S&P 500 stocks for Minervini's Volatility Contraction Pattern.
npx skills add https://github.com/MileniumTick/skills --skill vcp-screener-mileniumtick
Please help me install this Agent Skill. Skill: vcp-screener Source: https://github.com/MileniumTick/skills/tree/main/skills/vcp-screener Command: npx skills add https://github.com/MileniumTick/skills --skill vcp-screener-mileniumtick
Screen S&P 500 stocks for Mark Minervini's Volatility Contraction Pattern (VCP) to identify Stage 2 uptrends forming tight bases and imminent breakouts, reducing manual screening time and enabling data-driven decisions.
Run the vcp-screener with the default S&P 500 universe to generate top VCP candidates and accompanying JSON/Markdown reports.
High-intent search queries and answers about installing and using this skill.
Screen stocks for the Volatility Contraction Pattern by running a 3-phase pipeline that applies pre-filters, a trend template, and VCP scoring to identify Stage 2 uptrends forming tight bases. It outputs ranked candidates and detailed JSON/Markdown reports.
A VCP stock screener identifies breakouts by analyzing volume patterns and price volatility contractions within a defined universe. It applies a 5-component scoring model and state-cap rules to rank candidates by entry-readiness and pivot proximity.
You can screen a custom stock universe for VCP setups by providing your own ticker list, or default to the S&P 500. The screener applies its trend template and volatility contraction pattern scoring to generate actionable entry reports.
The trend template filter works in VCP screening by evaluating price and volume criteria to confirm a Stage 2 uptrend before applying the 5-component VCP scoring model. This ensures only stocks in valid technical structures are scored for breakouts.
Running a VCP screener requires fetching historical market data using the requests dependency. The pipeline includes fallback data validation and error handling to manage missing data points during the trend template and volatility pattern analysis.
Screening S&P 500 stocks for VCP patterns is limited by the availability of accurate historical price and volume data. Built-in fallback data validation handles missing inputs, but poor data quality can impact the 5-component scoring model and entry-ready reports.
OctagonAIFetch historical end-of-day OHLCV data for major market indices.
pasie15Generate Minervini-style breakout trade plans from VCP screener JSON.
ajeeshworkspaceScreen NSE/BSE stocks for Volatility Contraction Patterns within Stage 2 uptrends.
tradermontyAnalyze S&P 500 breadth charts and generate structured market regime reports.
