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Personal Stock Picking Framework

A semi-focused, deep-research approach to equity investing combining fundamental analysis, catalyst identification, and valuation discipline.

Framework Philosophy

Approach: Semi-focused with concentrated positions in deeply researched ideas Thesis Horizon: Medium to long-term with catalyst-driven entry/exit Validation: Combination of DCF analysis, trading multiples, and structural situational advantages

The Three-Part Process

1. Opportunity Identification

Screening Criteria:

  • Sector focus: Semiconductors, technology hardware, infrastructure, and geopolitical themes
  • Market inefficiency: Overlooked small/mid-cap names, activist situations, or misunderstood catalysts
  • Structural advantages: Durable competitive moats, network effects, or structural cost advantages
  • Management quality: Proven capital allocation, shareholder alignment, skin-in-the-game

Sources:

  • Equity research reports from specialized firms
  • Industry transcripts and management commentary
  • Technical deep dives and fundamental analyses
  • Activist/private equity intelligence
  • Geopolitical policy analysis impacting sector dynamics

2. Deep Fundamental Research

Core Due Diligence:

Market Opportunity

  • TAM (Total Addressable Market) and serviceable market size
  • Growth catalysts and demand tailwinds
  • Competitive positioning and market share trends
  • Pricing power and margin expansion potential

Financial Model

  • Revenue drivers and realistic growth assumptions
  • Operating margin profile and scalability
  • Cash generation and capital intensity
  • Balance sheet strength and financial flexibility

Competitive Dynamics

  • Relative technology position vs. competitors
  • Customer concentration and switching costs
  • Supply chain dependencies and supplier power
  • Patent moats and R&D effectiveness

Management & Capital Allocation

  • Track record of disciplined capital deployment
  • Acquisition track record (bolt-on vs. transformational)
  • Shareholder return mechanisms (buybacks, dividends, debt reduction)
  • Governance structure and alignment signals

3. Valuation & Entry

Valuation Methods:

Discounted Cash Flow (DCF)

  • Build bottoms-up model with explicit growth assumptions
  • Use WACC calibrated to sector and company risk profile
  • Sensitivity analysis on key drivers (revenue growth, margins, terminal growth)
  • Assess intrinsic value vs. market price for margin of safety

Trading Multiples

  • EV/Sales, P/E, EV/EBITDA relative to peers and history
  • Identify when valuations compress (value trap detection)
  • Use multiples to validate DCF conclusions
  • Understand what market is implying about growth/margins

Sum-of-the-Parts (SOTP)

  • For diversified or platform companies with multiple segments
  • Value each segment separately using appropriate multiples
  • Identify hidden value or optionality not reflected in aggregate valuation

Catalyst-Driven Catalysts:

  • Product launches or roadmap inflection points
  • Market share gains from competitive displacement
  • Margin expansion from mix shift or cost reduction
  • Strategic events (M&A, partnerships, capital structure changes)
  • Geopolitical policy changes affecting supply/demand

Position Sizing & Risk Management

Position Construction:

  • Core positions (5-8) in deeply researched, high-conviction ideas
  • Size positions by conviction and valuation margin of safety
  • Avoid over-concentration; typical position: 3-8% of portfolio
  • Reserve dry powder for incremental buying on weakness

Risk Controls:

  • Define downside case and maximum acceptable loss
  • Monitor quarterly results against model assumptions
  • Reassess thesis quarterly; act quickly on falsification
  • Use stop-losses to prevent catastrophic position decay

Exit Signals:

  • Target valuation achieved; redeploy to higher conviction idea
  • Catalyst materializes but stock doesn't respond; reassess thesis
  • Fundamental assumption breaks; model refinement or exit
  • Better risk/reward elsewhere; opportunity cost discipline

Information Hierarchy

Highest Weight:

  1. Primary research (management calls, industry experts, trade shows)
  2. Company fundamentals (financial statements, product roadmaps, customer wins)
  3. Specialized equity research from domain experts
  4. Structural/geopolitical analysis on sector tailwinds

Medium Weight: 5. Consensus analyst estimates and target prices 6. Trading technicals and sentiment indicators 7. Comparable company benchmarking

Lower Weight: 8. General market commentary and macro narrative 9. Social media and retail consensus

Key Disciplines

Do:

  • Maintain detailed investment theses with explicit assumptions
  • Update models quarterly with actual results
  • Track your batting average and learn from misses
  • Invest time in understanding the business operationally, not just financially
  • Challenge your own biases and seek contrary evidence

Don't:

  • Invest in ideas you can't explain simply and completely
  • Hold positions beyond their fundamental rationale
  • Average down without reassessing the core thesis
  • Let sunk costs or ego prevent thesis abandonment
  • Confuse high-conviction with high-certainty

Sector Focus Areas

Based on KB content depth:

  • Semiconductors: Foundries, equipment, materials, packaging, design
  • Data center infrastructure: Power delivery, cooling, networking, structures
  • AI/Compute: GPU/accelerator companies, foundational models, inference infrastructure
  • Geopolitical: Export controls, China strategy, CHIPS Act implementation, supply chain reshoring
  • Automotive & EV: Power electronics, ADAS/autonomous, battery materials

Related Resources

  • research-sources-directory — Curated list of equity research sources and analysts
  • valuation-methods — Deep dive on DCF, multiples, and SOTP valuation approaches
  • governance-art — Corporate governance signals in stock picking

Last Updated: 2026-03-01 Status: Framework established; refine with each investment cycle