india-market-breadth

Name: india-market-breadth
Author: ajeeshworkspace

48stars41forks

How to install india-market-breadth?

ajeeshworkspace/indian-trading-skills/india-market-breadth

$npx -y skills add ajeeshworkspace/indian-trading-skills --skill india-market-breadth

Installs into the current project.

Summary

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.

Files · 1

View on GitHub

SKILL.md

1	# India Market Breadth Analyzer
2
3	## Purpose
4
5	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.
6
7	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.
8
9	---
10
11	## Data Sources
12
13	### Primary Sources
14
15	\| Data Point \| Source \| Method \|
16	\|------------\|--------\|--------\|
17	\| Advance/Decline counts \| NSE website / Web search \| `WebSearch` for "NSE advance decline data today" \|
18	\| Stocks above 200 DMA \| Market screeners / Web search \| `WebSearch` for "stocks above 200 DMA NSE" \|
19	\| Stocks above 50 DMA \| Market screeners / Web search \| `WebSearch` for "stocks above 50 DMA NSE" \|
20	\| New 52-week highs \| Groww MCP \| `fetch_market_movers_and_trending_stocks_funds` with `YEARLY_HIGH` filter \|
21	\| New 52-week lows \| Groww MCP \| `fetch_market_movers_and_trending_stocks_funds` with `YEARLY_LOW` filter \|
22	\| Sector performance \| Groww MCP \| `get_ltp` for sector indices (Nifty IT, Bank Nifty, Nifty Pharma, etc.) \|
23	\| Nifty 50 level \| Groww MCP \| `get_ltp` for NIFTY \|
24	\| Top gainers/losers \| Groww MCP \| `fetch_market_movers_and_trending_stocks_funds` with `TOP_GAINERS` / `TOP_LOSERS` \|
25
26	### Broker MCP Tools Used
27
28	Use whichever broker MCP is connected (Groww or Zerodha Kite):
29
30	Groww MCP (if connected):
31	1. `fetch_market_movers_and_trending_stocks_funds` — Core tool for yearly highs/lows counts, top gainers/losers, volume data
32	2. `get_ltp` — Get live prices for Nifty, Bank Nifty, sector indices
33	3. `fetch_historical_candle_data` — Historical data for trend analysis
34	4. `get_historical_technical_indicators` — Calculate moving averages for breadth assessment
35	5. `fetch_technical_screener` — Screen for stocks by technical criteria (RSI, MACD, etc.)
36	6. `fetch_fundamentals_screener` — Natural language screening for market-cap based analysis
37
38	Zerodha Kite MCP (if connected):
39	1. `get_ltp` — Live prices for Nifty, Bank Nifty, sector indices
40	2. `get_quotes` — Real-time quotes with market depth
41	3. `get_ohlc` — OHLC data for indices and stocks
42	4. `get_historical_data` — Historical candle data for trend analysis
43	5. `search_instruments` — Search for instruments by name
44
45	---
46
47	## Workflow
48
49	### Step 1: Fetch NSE Advance/Decline Data
50
51	Use web search to get NSE advance/decline data:
52	```
53	WebSearch: "NSE advance decline ratio today"
54	WebSearch: "NSE market breadth today advances declines"
55	```
56
57	Key data points needed:
58	- Number of advances (stocks that closed higher)
59	- Number of declines (stocks that closed lower)
60	- Number of unchanged
61	- Total traded stocks
62
63	### Step 2: Calculate Breadth Indicators
64
65	#### A/D Ratio
66	```
67	A/D Ratio = Number of Advances / Number of Declines
68
69	Interpretation:
70	> 2.0: Strong breadth (broad rally)
71	1.5-2.0: Healthy breadth
72	1.0-1.5: Neutral
73	0.7-1.0: Weak breadth
74	< 0.7: Very weak (broad selling)
75	```
76
77	#### A/D Line (Cumulative)
78	```
79	A/D Line = Previous A/D Line + (Advances - Declines)
80
81	Rising A/D Line + Rising Nifty = Confirmed uptrend
82	Falling A/D Line + Rising Nifty = DIVERGENCE (warning)
83	Rising A/D Line + Falling Nifty = Accumulation (bullish)
84	Falling A/D Line + Falling Nifty = Confirmed downtrend
85	```
86
87	#### McClellan Oscillator Concept
88	```
89	A/D Difference = Advances - Declines
90	19-day EMA of A/D Difference (fast)
91	39-day EMA of A/D Difference (slow)
92	McClellan Oscillator = 19-day EMA - 39-day EMA
93
94	> 0: Bullish breadth momentum
95	< 0: Bearish breadth momentum
96	> +50: Overbought breadth
97	< -50: Oversold breadth
98	```
99
100	### Step 3: Assess % of Stocks Above 200 DMA and 50 DMA
101
102	Use web search or screener tools:
103	```
104	WebSearch: "percentage of NSE stocks above 200 day moving average"
105	```
106
107	Or use Groww MCP technical screener to estimate:
108	```
109	fetch_technical_screener with various SMA/EMA filters
110	```
111
112	#### Key Thresholds
113
114	\| Metric \| Bullish \| Neutral \| Bearish \|
115	\|--------\|---------\|---------\|---------\|
116	\| % above 200 DMA \| > 60% \| 40-60% \| < 40% \|
117	\| % above 50 DMA \| > 55% \| 35-55% \| < 35% \|
118	\| % above 20 DMA \| > 50% \| 30-50% \| < 30% \|
119
120	### Step 4: Count New 52-Week Highs vs Lows (via Groww MCP)
121
122	Use Groww MCP tools:
123	```python
124	# Fetch stocks hitting yearly highs
125	fetch_market_movers_and_trending_stocks_funds(
126	discovery_filter_types=["YEARLY_HIGH"],
127	size=20
128	)
129
130	# Fetch stocks hitting yearly lows
131	fetch_market_movers_and_trending_stocks_funds(
132	discovery_filter_types=["YEARLY_LOW"],
133	size=20
134	)
135	```
136
137	#### Interpretation
138
139	\| Highs:Lows Ratio \| Signal \|
140	\|

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india-market-breadth

48stars41forks

View on GitHub

How to install india-market-breadth?

ajeeshworkspace/indian-trading-skills/india-market-breadth

$npx -y skills add ajeeshworkspace/indian-trading-skills --skill india-market-breadth

Installs into the current project.

Summary

Files · 1

View on GitHub

SKILL.md

1	# India Market Breadth Analyzer
2
3	## Purpose
4
5	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.
6
7	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.
8
9	---
10
11	## Data Sources
12
13	### Primary Sources
14
15	\| Data Point \| Source \| Method \|
16	\|------------\|--------\|--------\|
17	\| Advance/Decline counts \| NSE website / Web search \| `WebSearch` for "NSE advance decline data today" \|
18	\| Stocks above 200 DMA \| Market screeners / Web search \| `WebSearch` for "stocks above 200 DMA NSE" \|
19	\| Stocks above 50 DMA \| Market screeners / Web search \| `WebSearch` for "stocks above 50 DMA NSE" \|
20	\| New 52-week highs \| Groww MCP \| `fetch_market_movers_and_trending_stocks_funds` with `YEARLY_HIGH` filter \|
21	\| New 52-week lows \| Groww MCP \| `fetch_market_movers_and_trending_stocks_funds` with `YEARLY_LOW` filter \|
22	\| Sector performance \| Groww MCP \| `get_ltp` for sector indices (Nifty IT, Bank Nifty, Nifty Pharma, etc.) \|
23	\| Nifty 50 level \| Groww MCP \| `get_ltp` for NIFTY \|
24	\| Top gainers/losers \| Groww MCP \| `fetch_market_movers_and_trending_stocks_funds` with `TOP_GAINERS` / `TOP_LOSERS` \|
25
26	### Broker MCP Tools Used
27
28	Use whichever broker MCP is connected (Groww or Zerodha Kite):
29
30	Groww MCP (if connected):
31	1. `fetch_market_movers_and_trending_stocks_funds` — Core tool for yearly highs/lows counts, top gainers/losers, volume data
32	2. `get_ltp` — Get live prices for Nifty, Bank Nifty, sector indices
33	3. `fetch_historical_candle_data` — Historical data for trend analysis
34	4. `get_historical_technical_indicators` — Calculate moving averages for breadth assessment
35	5. `fetch_technical_screener` — Screen for stocks by technical criteria (RSI, MACD, etc.)
36	6. `fetch_fundamentals_screener` — Natural language screening for market-cap based analysis
37
38	Zerodha Kite MCP (if connected):
39	1. `get_ltp` — Live prices for Nifty, Bank Nifty, sector indices
40	2. `get_quotes` — Real-time quotes with market depth
41	3. `get_ohlc` — OHLC data for indices and stocks
42	4. `get_historical_data` — Historical candle data for trend analysis
43	5. `search_instruments` — Search for instruments by name
44
45	---
46
47	## Workflow
48
49	### Step 1: Fetch NSE Advance/Decline Data
50
51	Use web search to get NSE advance/decline data:
52	```
53	WebSearch: "NSE advance decline ratio today"
54	WebSearch: "NSE market breadth today advances declines"
55	```
56
57	Key data points needed:
58	- Number of advances (stocks that closed higher)
59	- Number of declines (stocks that closed lower)
60	- Number of unchanged
61	- Total traded stocks
62
63	### Step 2: Calculate Breadth Indicators
64
65	#### A/D Ratio
66	```
67	A/D Ratio = Number of Advances / Number of Declines
68
69	Interpretation:
70	> 2.0: Strong breadth (broad rally)
71	1.5-2.0: Healthy breadth
72	1.0-1.5: Neutral
73	0.7-1.0: Weak breadth
74	< 0.7: Very weak (broad selling)
75	```
76
77	#### A/D Line (Cumulative)
78	```
79	A/D Line = Previous A/D Line + (Advances - Declines)
80
81	Rising A/D Line + Rising Nifty = Confirmed uptrend
82	Falling A/D Line + Rising Nifty = DIVERGENCE (warning)
83	Rising A/D Line + Falling Nifty = Accumulation (bullish)
84	Falling A/D Line + Falling Nifty = Confirmed downtrend
85	```
86
87	#### McClellan Oscillator Concept
88	```
89	A/D Difference = Advances - Declines
90	19-day EMA of A/D Difference (fast)
91	39-day EMA of A/D Difference (slow)
92	McClellan Oscillator = 19-day EMA - 39-day EMA
93
94	> 0: Bullish breadth momentum
95	< 0: Bearish breadth momentum
96	> +50: Overbought breadth
97	< -50: Oversold breadth
98	```
99
100	### Step 3: Assess % of Stocks Above 200 DMA and 50 DMA
101
102	Use web search or screener tools:
103	```
104	WebSearch: "percentage of NSE stocks above 200 day moving average"
105	```
106
107	Or use Groww MCP technical screener to estimate:
108	```
109	fetch_technical_screener with various SMA/EMA filters
110	```
111
112	#### Key Thresholds
113
114	\| Metric \| Bullish \| Neutral \| Bearish \|
115	\|--------\|---------\|---------\|---------\|
116	\| % above 200 DMA \| > 60% \| 40-60% \| < 40% \|
117	\| % above 50 DMA \| > 55% \| 35-55% \| < 35% \|
118	\| % above 20 DMA \| > 50% \| 30-50% \| < 30% \|
119
120	### Step 4: Count New 52-Week Highs vs Lows (via Groww MCP)
121
122	Use Groww MCP tools:
123	```python
124	# Fetch stocks hitting yearly highs
125	fetch_market_movers_and_trending_stocks_funds(
126	discovery_filter_types=["YEARLY_HIGH"],
127	size=20
128	)
129
130	# Fetch stocks hitting yearly lows
131	fetch_market_movers_and_trending_stocks_funds(
132	discovery_filter_types=["YEARLY_LOW"],
133	size=20
134	)
135	```
136
137	#### Interpretation
138
139	\| Highs:Lows Ratio \| Signal \|
140	\|

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