nse-vcp-screener

You can screen NSE stocks for Minervini VCP breakouts by scanning the Nifty universe for tightening price contractions with declining volume. This Skill automates that detection across Nifty 50, 200, or 500 universes to identify Stage 2 uptrends.

A VCP breakout is a Mark Minervini Volatility Contraction Pattern where price volatility tightens with declining volume before a breakout. This Skill identifies it by validating Stage 2 trends, contraction quality, and pivot proximity across the NSE universe.

You can rank NSE stocks by applying a multi-stage scoring system that evaluates trend template, contraction quality, volume pattern, pivot proximity, and relative strength. The screener processes these criteria to produce ranked candidates.

Yes, this Skill uses Python with pandas and yfinance to ingest data and detect Stage 2 uptrends. It supports scanning the Nifty 500 universe to find tightening bases with declining volume before potential breakouts.

Yes, VCP screening generates JSON and Markdown reports detailing the ranked candidates and scoring breakdown. These reports include methodology references to help interpret the identified Volatility Contraction Patterns.

Using yfinance for NSE stock screening limits you to the data frequency and historical depth provided by the API. This Skill mitigates this by focusing on daily price contractions and volume patterns across the Nifty universe.