india-market-breadth

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):

1. fetch_market_movers_and_trending_stocks_funds — Core tool for yearly highs/lows counts, top gainers/losers, volume data
2. get_ltp — Get live prices for Nifty, Bank Nifty, sector indices
3. fetch_historical_candle_data — Historical data for trend analysis
4. get_historical_technical_indicators — Calculate moving averages for breadth assessment
5. fetch_technical_screener — Screen for stocks by technical criteria (RSI, MACD, etc.)
6. fetch_fundamentals_screener — Natural language screening for market-cap based analysis

Zerodha Kite MCP (if connected):

1. get_ltp — Live prices for Nifty, Bank Nifty, sector indices
2. get_quotes — Real-time quotes with market depth
3. get_ohlc — OHLC data for indices and stocks
4. get_historical_data — Historical candle data for trend analysis
5. search_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:

1. Nifty Bank
2. Nifty IT
3. Nifty Pharma
4. Nifty FMCG
5. Nifty Auto
6. Nifty Metal
7. Nifty Realty
8. Nifty Energy
9. Nifty Infrastructure
10. Nifty PSU Bank
11. Nifty Private Bank
12. Nifty Media
13. 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%