india-stock-analysis

Solid

Use when user requests analysis of Indian stocks, fundamental assessment, technical review, comparisons, or investment reports for NSE/BSE listed companies.

Data & Documents 49 stars 41 forks Updated 1 weeks ago MIT

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Quality Score: 81/100

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90
Frontmatter 20%
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Documentation 15%
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Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# India Stock Analysis Skill Analyze Indian stocks listed on NSE and BSE using broker MCP tools and web search. All analysis is denominated in INR and follows Indian fiscal year conventions (April-March). No API keys are required. ## Data Sources Use whichever broker MCP is connected. Both provide equivalent data for stock analysis. ### Option A: Groww MCP (if connected) - `fetch_stocks_fundamental_data` -- Financials, ratios, shareholding, mutual fund holdings - `fetch_historical_candle_data` -- OHLCV price history - `get_historical_technical_indicators` -- RSI, MACD, Bollinger, SMA, EMA, SuperTrend, VWAP, ADX, and more - `get_ltp` -- Live/last traded price and open interest - `get_quotes_and_depth` -- Real-time bid/ask and market depth - `curate_symbols` -- Resolve stock symbols and exchange - `fetch_market_movers_and_trending_stocks_funds` -- Market movers, gainers, losers - `fetch_fundamentals_screener` -- Screen stocks by fundamental criteria - `fetch_technical_screener` -- Screen stocks by technical signals - `search_stock_and_others_symbol` -- Search for stocks, indices, and companies - `resolve_market_time_and_calendar` -- Current market time, trading days, holidays ### Option B: Zerodha Kite MCP (if connected) - `get_ltp` -- Last traded price for instruments - `get_quotes` -- Real-time market quotes with depth - `get_ohlc` -- OHLC data for instruments - `get_historical_data` -- Historical OHLCV candle data - `search_instruments` -- Search and resolve trading ins...

Details

Author
ajeeshworkspace
Repository
ajeeshworkspace/indian-trading-skills
Created
4 months ago
Last Updated
1 weeks ago
Language
Python
License
MIT

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