india-market-breadth
Assess the health of the Indian stock market using advance/decline and sector data.
Install
mkdir -p .claude/skills/india-market-breadth && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/16380" && unzip -o skill.zip -d .claude/skills/india-market-breadth && rm skill.zipInstalls to .claude/skills/india-market-breadth
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Analyze Indian market breadth health using advance/decline data, stocks above moving averages, new highs/lows, and sector participation. Use when assessing rally quality, market participation width, or equity exposure levels for NSE/BSE.Key capabilities
- →Analyze Indian market breadth using advance/decline data
- →Assess the percentage of stocks above moving averages (200 DMA, 50 DMA)
- →Count new 52-week highs versus lows
- →Score market breadth health on a 0-100 composite scale
- →Identify Nifty divergence from breadth indicators
How it works
The skill analyzes Indian market breadth by collecting data on advance/decline counts, stocks above moving averages, and new highs/lows from sources like the NSE website and Groww MCP. It then calculates various breadth indicators and a composite score.
Inputs & outputs
When to use india-market-breadth
- →Assessing rally quality
- →Checking sector participation
- →Equity exposure assessment
About this skill
India Market Breadth Analyzer
Purpose
Market breadth measures how broadly a rally or decline is distributed across the market. A healthy market has broad participation — many stocks and sectors moving in the same direction. A narrow market, where only a few large-cap stocks are driving the index, is fragile and prone to reversal.
This skill provides a systematic framework to assess NSE/BSE breadth health, score it on a 0-100 composite scale, and translate it into actionable equity exposure recommendations.
Data Sources
Primary Sources
| Data Point | Source | Method |
|---|---|---|
| Advance/Decline counts | NSE website / Web search | WebSearch for "NSE advance decline data today" |
| Stocks above 200 DMA | Market screeners / Web search | WebSearch for "stocks above 200 DMA NSE" |
| Stocks above 50 DMA | Market screeners / Web search | WebSearch for "stocks above 50 DMA NSE" |
| New 52-week highs | Groww MCP | fetch_market_movers_and_trending_stocks_funds with YEARLY_HIGH filter |
| New 52-week lows | Groww MCP | fetch_market_movers_and_trending_stocks_funds with YEARLY_LOW filter |
| Sector performance | Groww MCP | get_ltp for sector indices (Nifty IT, Bank Nifty, Nifty Pharma, etc.) |
| Nifty 50 level | Groww MCP | get_ltp for NIFTY |
| Top gainers/losers | Groww MCP | fetch_market_movers_and_trending_stocks_funds with TOP_GAINERS / TOP_LOSERS |
Broker MCP Tools Used
Use whichever broker MCP is connected (Groww or Zerodha Kite):
Groww MCP (if connected):
fetch_market_movers_and_trending_stocks_funds— Core tool for yearly highs/lows counts, top gainers/losers, volume dataget_ltp— Get live prices for Nifty, Bank Nifty, sector indicesfetch_historical_candle_data— Historical data for trend analysisget_historical_technical_indicators— Calculate moving averages for breadth assessmentfetch_technical_screener— Screen for stocks by technical criteria (RSI, MACD, etc.)fetch_fundamentals_screener— Natural language screening for market-cap based analysis
Zerodha Kite MCP (if connected):
get_ltp— Live prices for Nifty, Bank Nifty, sector indicesget_quotes— Real-time quotes with market depthget_ohlc— OHLC data for indices and stocksget_historical_data— Historical candle data for trend analysissearch_instruments— Search for instruments by name
Workflow
Step 1: Fetch NSE Advance/Decline Data
Use web search to get NSE advance/decline data:
WebSearch: "NSE advance decline ratio today"
WebSearch: "NSE market breadth today advances declines"
Key data points needed:
- Number of advances (stocks that closed higher)
- Number of declines (stocks that closed lower)
- Number of unchanged
- Total traded stocks
Step 2: Calculate Breadth Indicators
A/D Ratio
A/D Ratio = Number of Advances / Number of Declines
Interpretation:
> 2.0: Strong breadth (broad rally)
1.5-2.0: Healthy breadth
1.0-1.5: Neutral
0.7-1.0: Weak breadth
< 0.7: Very weak (broad selling)
A/D Line (Cumulative)
A/D Line = Previous A/D Line + (Advances - Declines)
Rising A/D Line + Rising Nifty = Confirmed uptrend
Falling A/D Line + Rising Nifty = DIVERGENCE (warning)
Rising A/D Line + Falling Nifty = Accumulation (bullish)
Falling A/D Line + Falling Nifty = Confirmed downtrend
McClellan Oscillator Concept
A/D Difference = Advances - Declines
19-day EMA of A/D Difference (fast)
39-day EMA of A/D Difference (slow)
McClellan Oscillator = 19-day EMA - 39-day EMA
> 0: Bullish breadth momentum
< 0: Bearish breadth momentum
> +50: Overbought breadth
< -50: Oversold breadth
Step 3: Assess % of Stocks Above 200 DMA and 50 DMA
Use web search or screener tools:
WebSearch: "percentage of NSE stocks above 200 day moving average"
Or use Groww MCP technical screener to estimate:
fetch_technical_screener with various SMA/EMA filters
Key Thresholds
| Metric | Bullish | Neutral | Bearish |
|---|---|---|---|
| % above 200 DMA | > 60% | 40-60% | < 40% |
| % above 50 DMA | > 55% | 35-55% | < 35% |
| % above 20 DMA | > 50% | 30-50% | < 30% |
Step 4: Count New 52-Week Highs vs Lows (via Groww MCP)
Use Groww MCP tools:
# Fetch stocks hitting yearly highs
fetch_market_movers_and_trending_stocks_funds(
discovery_filter_types=["YEARLY_HIGH"],
size=20
)
# Fetch stocks hitting yearly lows
fetch_market_movers_and_trending_stocks_funds(
discovery_filter_types=["YEARLY_LOW"],
size=20
)
Interpretation
| Highs:Lows Ratio | Signal |
|---|---|
| > 5:1 | Strong bullish breadth |
| 2:1 to 5:1 | Healthy bullish breadth |
| 1:1 to 2:1 | Neutral / transitioning |
| 0.5:1 to 1:1 | Bearish breadth |
| < 0.5:1 | Strong bearish breadth |
Step 5: Score Breadth Health (0-100 Composite)
The composite score is calculated from 5 components:
| # | Component | Weight | Max Points | Source |
|---|---|---|---|---|
| 1 | Advance/Decline Ratio | 25% | 25 | NSE A/D data |
| 2 | Stocks Above 200 DMA | 25% | 25 | Screener data |
| 3 | New Highs vs Lows | 20% | 20 | Groww MCP YEARLY_HIGH/LOW |
| 4 | Sector Participation | 15% | 15 | Sector index performance |
| 5 | Nifty Divergence | 15% | 15 | Nifty vs breadth comparison |
Component 1: Advance/Decline Ratio Score (0-25)
| A/D Ratio | Score |
|---|---|
| > 3.0 | 25 |
| 2.5 - 3.0 | 22-25 |
| 2.0 - 2.5 | 19-22 |
| 1.5 - 2.0 | 15-19 |
| 1.2 - 1.5 | 12-15 |
| 1.0 - 1.2 | 8-12 |
| 0.7 - 1.0 | 4-8 |
| 0.5 - 0.7 | 2-4 |
| < 0.5 | 0-2 |
Also consider the 5-day and 20-day trend of A/D ratio:
- Improving trend: +2 bonus points
- Deteriorating trend: -2 penalty points
Component 2: Stocks Above 200 DMA Score (0-25)
| % Above 200 DMA | Score |
|---|---|
| > 75% | 25 |
| 65-75% | 21-25 |
| 55-65% | 17-21 |
| 45-55% | 13-17 |
| 35-45% | 9-13 |
| 25-35% | 5-9 |
| < 25% | 0-5 |
Component 3: New Highs vs Lows Score (0-20)
| Highs:Lows Ratio | Score |
|---|---|
| > 5:1 | 20 |
| 3:1 - 5:1 | 16-20 |
| 2:1 - 3:1 | 12-16 |
| 1:1 - 2:1 | 8-12 |
| 0.5:1 - 1:1 | 4-8 |
| < 0.5:1 | 0-4 |
Component 4: Sector Participation Score (0-15)
Count how many of the 13 major Nifty sectors are in an uptrend (above their 50 DMA or showing positive 1-month return):
13 Key NSE Sectors:
- Nifty Bank
- Nifty IT
- Nifty Pharma
- Nifty FMCG
- Nifty Auto
- Nifty Metal
- Nifty Realty
- Nifty Energy
- Nifty Infrastructure
- Nifty PSU Bank
- Nifty Private Bank
- Nifty Media
- Nifty Financial Services
| Sectors in Uptrend | Score |
|---|---|
| 11-13 | 15 |
| 9-10 | 12-14 |
| 7-8 | 9-11 |
| 5-6 | 6-8 |
| 3-4 | 3-5 |
| 0-2 | 0-2 |
Component 5: Nifty Divergence Score (0-15)
This measures whether index performance aligns with underlying breadth.
| Scenario | Score |
|---|---|
| Nifty rising + breadth improving | 15 (confirmed uptrend) |
| Nifty flat + breadth improving | 13 (stealth accumulation) |
| Nifty rising + breadth flat | 10 (narrow rally, watch closely) |
| Nifty flat + breadth flat | 8 (neutral, no signal) |
| Nifty flat + breadth declining | 5 (stealth distribution) |
| Nifty rising + breadth declining | 3 (BEARISH DIVERGENCE — high risk) |
| Nifty falling + breadth declining | 2 (confirmed downtrend) |
| Nifty falling + breadth improving | 7 (possible bottom formation) |
Step 6: Map to Equity Exposure Recommendation
Health Zones
| Score Range | Zone | Equity Exposure | Action |
|---|---|---|---|
| 80-100 | Strong | 90-100% | Full equity allocation. Market has broad participation. Deploy fresh capital. |
| 60-79 | Healthy | 75-90% | Normal allocation. Monitor for deterioration. Favor broad-based positions. |
| 40-59 | Neutral | 60-75% | Cautious allocation. Focus on strong sectors only. Reduce mid/small-cap exposure. |
| 20-39 | Weakening | 40-60% | Defensive allocation. Shift to large-caps and quality. Raise cash on rallies. |
| 0-19 | Critical | 25-40% | Maximum defense. High cash/debt allocation. Only hold strongest positions. Potential capitulation zone. |
Exposure Adjustment Rules
- Score improving for 5+ days: Can increase exposure by one zone level
- Score deteriorating for 5+ days: Decrease exposure by one zone level
- Score drops >15 points in a week: Emergency review — consider reducing exposure immediately
- Score rises >15 points in a week: Wait for confirmation (3+ days) before increasing
Step 7: Generate Report
Use the template from assets/breadth_report_template.md to produce a structured report. Include:
- Composite score and health zone
- All 5 component scores with supporting data
- Trend direction (improving/deteriorating)
- Equity exposure recommendation
- Divergence analysis
- Historical context
- Disclaimer
Quick Reference: NSE Sector Indices
Use these symbols with get_ltp for sector breadth assessment:
| Sector | Symbol | Approx Constituents |
|---|---|---|
| Bank Nifty | NIFTY BANK | 12 banks |
| Nifty IT | NIFTY IT | 10 IT companies |
| Nifty Pharma | NIFTY PHARMA | 20 pharma companies |
| Nifty FMCG | NIFTY FMCG | 15 FMCG companies |
| Nifty Auto | NIFTY AUTO | 15 auto companies |
| Nifty Metal | NIFTY METAL | 15 metal companies |
| Nifty Realty | NIFTY REALTY | 10 realty companies |
| Nifty Energy | NIFTY ENERGY | 10 energy companies |
| Nifty Infra | NIFTY INFRA | 30 infra companies |
| Nifty PSU Bank | NIFTY PSU BANK | 12 PSU banks |
| Nifty Pvt Bank | NIFTY PVT BANK | 10 private banks |
| Nifty Media | NIFTY MEDIA | 14 media companies |
| Nifty Fin Service | NIFTY FIN SERVICE | 20 financial companies |
Example Breadth Assessment
Date: 2025-03-10
COMPONENT SCORES:
---
*Content truncated.*
When not to use it
- →When analyzing market breadth for non-Indian markets
- →When seeking real-time trading signals without broader market context
- →When F&O expiry effects or budget policies are distorting breadth readings
Limitations
- →The analysis is specific to Indian markets (NSE/BSE)
- →F&O Expiry Effects can distort breadth readings
- →Budget and RBI Policy Weeks create abnormal breadth swings
How it compares
This skill provides a systematic framework specifically for assessing NSE/BSE breadth health and translating it into actionable equity exposure recommendations, unlike general market analysis tools.
Compared to similar skills
india-market-breadth side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| india-market-breadth (this skill) | 0 | 5mo | No flags | Advanced |
| quant-analyst | 103 | 3mo | No flags | Advanced |
| stock-analyzer | 71 | 2mo | Review | Beginner |
| creating-financial-models | 36 | 8mo | Review | Advanced |
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Example prompts that trigger this skill in your AI assistant.
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