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This section documents the fundamental identity and classification fields that uniquely identify each stock and categorize it by industry, sector, and index membership.

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Fields

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Symbol
string
required
Stock ticker symbol as per NSE.Example: "RELIANCE"Source: NSE equity list
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Name
string
required
Full company name.Example: "Reliance Industries Limited"Source: NSE equity master data
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Listing Date
string
Date when the stock was first listed on the exchange.Format: YYYY-MM-DDExample: "1977-11-29"Source: NSE historical listing data via listing_date_mapDefault: "N/A" if not available
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Basic Industry
string
Granular industry classification.Example: "Refineries"Source: Screener.in industry taxonomyDefault: "N/A" if not available
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Sector
string
Broad sector classification.Example: "Energy"Source: Screener.in sector taxonomyDefault: "N/A" if not available
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Index
string
Comma-separated list of indices the stock is a constituent of.Example: "NIFTY 50, NIFTY ENERGY, NIFTY 100"Source: Dhan API idxlist field filtered by requested index IDs:
requested_indices = {13,51,38,17,18,19,20,37,1,442,443,22,5,3,444,7,14,25,27,28,447,35,41,46,44,16,43,42,45,39,466,34,32,15,33,31,30,29}
Extraction Logic:
indices_found = []
idx_list_raw = tech.get("idxlist", [])
for idx_obj in idx_list_raw:
    idx_id = idx_obj.get("Indexid")
    idx_name = idx_obj.get("Name")
    if idx_id in requested_indices and idx_name:
        indices_found.append(idx_name)
stock_analysis["Index"] = ", ".join(indices_found) if indices_found else "N/A"
Default: "N/A" if stock is not part of any tracked index

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Usage Context

These fields form the foundation for:
  • Stock identification in the output JSON (86 fields per stock across 2,775 stocks)
  • Sector and industry filtering for thematic analysis
  • Index-based screening for benchmark constituents
  • Historical context via listing date for maturity assessment

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Data Flow

  1. Symbol & Name: Extracted from NSE equity list
  2. Listing Date: Mapped from listing_date_map dictionary
  3. Industry & Sector: Enriched from Screener.in fundamentals API
  4. Index: Parsed from Dhan technical API idxlist array filtered by predefined index IDs

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Source Code Reference

  • Field extraction: bulk_market_analyzer.py:203-210, 271-281, 333
  • Output schema: all_stocks_fundamental_analysis.json

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