Nse Vcp Screener

NSE VCP Screener

Overview

This skill screens Indian stocks (Nifty 50/200/500) for Mark Minervini's Volatility Contraction Pattern (VCP). The VCP identifies stocks in Stage 2 uptrends that are forming tightening bases with declining volume — the classic setup before a potential breakout.

The screening pipeline has 3 phases:

1. Pre-filter: Quick quote-based filtering to eliminate obvious non-candidates
2. Trend Template: Apply Minervini's 7-point Stage 2 criteria using 260-day histories
3. VCP Detection & Scoring: Pattern analysis with 5-component composite scoring

Data Source

This screener uses yfinance with .NS suffix for NSE stocks and the niftystocks package for stock universe lists. No paid API keys required.

Execution

python3 scripts/screen_vcp.py --universe nifty500

Command-Line Arguments

| Argument | Default | Description | |----------|---------|-------------| | --universe | nifty50 | Stock universe: nifty50, nifty200, nifty500, or custom | | --custom-tickers | — | Comma-separated tickers for custom universe (e.g., RELIANCE,TCS,INFY) | | --min-contractions | 2 | Minimum number of contractions (2-4) | | --t1-depth-min | 10 | Minimum T1 contraction depth % | | --t1-depth-max | 40 | Maximum T1 contraction depth % | | --contraction-ratio | 0.75 | Each contraction must be ≤ this ratio of the previous | | --min-contraction-days | 5 | Minimum days per contraction | | --lookback-days | 120 | Days to look back for pattern detection | | --breakout-volume-ratio | 1.5 | Minimum volume ratio for breakout confirmation | | --trend-min-score | 85 | Minimum trend template score (0-100) | | --output-dir | reports/ | Output directory for results |

Workflow

Step 1: Execute the Screener

Run the Python script with desired parameters:

python3 skills/nse-vcp-screener/scripts/screen_vcp.py \
  --universe nifty500 \
  --output-dir reports/

Step 2: Review Results

Load and review the generated reports:

• JSON: reports/vcp_screener_YYYY-MM-DD_HHMMSS.json (structured data)
• Markdown: reports/vcp_screener_YYYY-MM-DD_HHMMSS.md (human-readable report)

Step 3: Load References for Interpretation

Read: references/vcp_methodology.md
Read: references/scoring_system.md

Step 4: Present Top Candidates

For each top-scoring candidate, present:

1. Composite Score (0-100)
2. Contraction Structure (T1/T2/T3 depths and durations)
3. Volume Pattern (dry-up ratio)
4. Pivot Level (breakout price)
5. Relative Strength vs Nifty 50

Step 5: Actionable Insights

For the top 5-10 candidates:

• Note proximity to pivot/breakout level
• Assess if volume is confirming or diverging
• Check for upcoming F&O expiry or result season impacts
• Identify F&O lot size (if stock is in F&O segment)

Scoring System

The composite score (0-100) weights 5 components:

| Component | Weight | What It Measures | |-----------|--------|-----------------| | Trend Template | 25% | Minervini's 7-point Stage 2 criteria | | Contraction Quality | 25% | Tightening base structure | | Volume Pattern | 20% | Volume dry-up ratio | | Pivot Proximity | 15% | Distance from breakout level | | Relative Strength | 15% | Performance vs Nifty 50 |

Indian Market Adaptations

• Universe: Nifty 50/200/500 instead of S&P 500
• Benchmark: Relative strength measured vs Nifty 50 (^NSEI) instead of S&P 500
• Volatility: T1 depth range widened to 10-40% (vs 8-35% for US) due to higher small-cap volatility
• Circuit Limits: Stocks hitting circuits may show false VCP patterns — flagged in results
• Liquidity Filter: Minimum average daily volume of ₹1 crore to filter illiquid stocks
• F&O Availability: Results indicate whether the stock is in the F&O segment

Resources

references/vcp_methodology.md

Mark Minervini's VCP theory, Stage 2 criteria, contraction rules, and entry methodology adapted for Indian markets.

references/scoring_system.md

Detailed breakdown of the 5-component composite scoring system with thresholds and examples.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: ajeeshworkspace
• Source: ajeeshworkspace/indian-trading-skills
• License: MIT

Install and usage instructions live in the source repository linked above.