Quantitative Stock Screening: Finding Hidden Gems in 2,300+ NSE Stocks

Why You Need a Systematic Screening Process

The NSE lists over 2,300 companies. The BSE lists over 5,000. No investor can analyse all of them. The solution is not to limit your universe arbitrarily - it is to build a systematic filter that rapidly eliminates low-quality and overvalued stocks, leaving a manageable shortlist for deep fundamental analysis.

This is how institutional quantitative desks work. They never start with a story. They start with a screen.

The Three-Layer Screening Architecture

Layer 1: Quality Filters (Eliminate the Junk)

These filters are non-negotiable. Any stock that fails any of these should be eliminated regardless of how attractive the valuation looks:

• ROE > 15% consistently for 3+ years (measures return on shareholder capital)
• Debt/Equity < 1.0x (for non-financial companies; higher is acceptable for banks/NBFCs)
• Operating Cash Flow > 0 for all 5 years in your history window
• Revenue CAGR > 8% over 5 years (must at least match nominal GDP)
• Promoter pledging < 10% of promoter shareholding (high pledge = financial distress signal)

This single layer typically eliminates 60–70% of the NSE universe.

Layer 2: Earnings Quality Filters (Find Honest Businesses)

Accounting quality is the invisible variable that separates wealth creation from wealth destruction:

• CFO/Net Profit ratio > 0.8: Cash from operations should be at least 80% of reported profit. If a company reports ₹100 Cr profit but only generates ₹40 Cr in operating cash flow, the profit is largely accounting fiction.
• Receivable days trending flat or falling: Rapidly growing receivables in relation to revenue is one of the earliest fraud signals.
• Gross margin stability: Margins should not swing 5+ percentage points year over year without a clear business reason.

Layer 3: Valuation Filters (Buy Cheap Quality)

Only now do we look at price:

• P/E < 1.2x sector median (avoid paying excessive premium to peers)
• EV/EBITDA < 15x for non-tech businesses (appropriate for Indian markets)
• Price-to-FCF < 25x or FCF yield > 4%
• PEG ratio < 1.0 (P/E divided by 5-year earnings CAGR - a measure of growth-adjusted value)

A Worked Example: The Mid-Cap Quality Screen

Applying the above filters to NSE's full universe as of Q1 2026:

87 companies from 2,364. These are the candidates worth reading annual reports for.

Sector-Specific Adjustments

The same filter set does not work equally across all sectors:

Banks and NBFCs: Replace Debt/Equity with NPA ratio < 2.5% and Return on Assets > 1.2%. Banks are inherently leveraged; a D/E screen is meaningless here.

Capital-intensive industries (Steel, Cement, Utilities): Use EV/EBITDA instead of P/E; depreciation charges distort net profit significantly. Also use EV/Tonne or EV/MW for asset-based valuation.

IT and software services: FCF conversion rates should be very high (>90%); add a revenue hedging check for FX exposure.

Building Factors, Not Screens

The most sophisticated application of quantitative screening combines multiple factors into a composite score rather than using hard binary filters. Intrynsic's screener allows you to weight factors (e.g., 40% quality, 40% valuation, 20% momentum) and rank the universe by composite score.

Research by Fama and French, replicated for Indian data by several IIM studies, shows that combining quality and value factors produces materially better risk-adjusted returns than either factor alone over 5+ year horizons.

The screen is not the investment thesis. It is the starting gun. Once you have your 80 companies, the work of reading balance sheets and understanding business models begins. But you start from a list of businesses that are statistically likely to be worth your time.