India Sector Master Analysis

A single-script Python tool that pulls live NSE data and generates a self-contained interactive HTML report covering India's nine major equity sectors — Auto, Banking, Energy, FMCG, Infra, IT, Metal, Pharma, and Realty.

What it does

• Regime analysis — maps 10 years of quarterly sector returns against four economic regimes (Expansion, Recession, Reflation, Stagflation) and the RBI rate cycle (Hiking / Cutting / Neutral) to show which sectors historically outperform in each environment.
• Z-score heatmaps — visualises average return and Sharpe Z-scores across regimes so you can spot relative strength at a glance.
• Stock signals — computes swing and positional trade signals (RSI, MACD, EMA 20/50/200, 52-week range, momentum) for 45 representative NSE stocks across all 9 sectors.
• Interactive HTML report — six Plotly charts assembled into a single india_sector_analysis.html file that opens automatically in your browser. No server required.
• CSV exports — regime stats and stock signals saved as india_sector_analysis_stats.csv and india_sector_analysis_stocks.csv.

Sectors & Stocks Covered

Sector	Index Symbol	Representative Stocks
Auto	^CNXAUTO	MARUTI, TMCV, BAJAJ-AUTO, M&M, EICHERMOT
Banking	^NSEBANK	HDFCBANK, ICICIBANK, SBIN, KOTAKBANK, AXISBANK
Energy	^CNXENERGY	RELIANCE, NTPC, POWERGRID, ONGC, COALINDIA
FMCG	^CNXFMCG	HINDUNILVR, ITC, NESTLEIND, BRITANNIA, DABUR
Infra	^CNXINFRA	LT, ADANIPORTS, ULTRACEMCO, BHARTIARTL, IRFC
IT	^CNXIT	TCS, INFY, HCLTECH, WIPRO, TECHM
Metal	^CNXMETAL	TATASTEEL, JSWSTEEL, HINDALCO, COALINDIA, NMDC
Pharma	^CNXPHARMA	SUNPHARMA, DRREDDY, CIPLA, DIVISLAB, TORNTPHARM
Realty	^CNXREALTY	DLF, GODREJPROP, LODHA, OBEROIRLTY, PRESTIGE

Setup

pip install -r requirements.txt

Usage

python -X utf8 india_master.py

The report (india_sector_analysis.html) opens automatically when the script finishes. Run time is roughly 30–60 seconds depending on your internet connection.

Output Files

File	Description
india_sector_analysis.html	Full interactive dashboard (open in any browser)
india_sector_analysis_stats.csv	Regime-level stats per sector (avg return, win rate, Sharpe)
india_sector_analysis_stocks.csv	Per-stock signal table (swing & position bias)

Requirements

• Python 3.9+
• Internet connection (live data fetched via yfinance)