idea-generation

Cribado sistemático de acciones y generación de ideas de inversión. Combina filtros cuantitativos, investigación temática y reconocimiento de patrones para descubrir nuevas oportunidades largas y…

npx skills add https://github.com/anthropics/financial-services --skill idea-generation

Idea Generation

Workflow

Step 1: Define Search Criteria

Ask the user for parameters:

  • Direction: Long ideas, short ideas, or both
  • Market cap: Large, mid, small, micro
  • Sector: Specific sector or cross-sector
  • Style: Value, growth, quality, special situation, event-driven
  • Geography: US, international, global
  • Theme: Any specific thematic angle (AI, reshoring, aging demographics, etc.)

Step 2: Quantitative Screens

Run screens based on the style:

Value Screen

  • P/E below sector median
  • EV/EBITDA below historical average
  • Free cash flow yield >5%
  • Price/book below 1.5x
  • Insider buying in last 90 days
  • Dividend yield above market average

Growth Screen

  • Revenue growth >15% YoY
  • Earnings growth >20% YoY
  • Revenue acceleration (growth rate increasing)
  • Expanding margins
  • High return on invested capital (>15%)
  • Strong net retention (>110% for SaaS)

Quality Screen

  • Consistent revenue growth (5+ years)
  • Stable or expanding margins
  • ROE >15%
  • Low debt/equity
  • High free cash flow conversion
  • Insider ownership >5%

Short Screen

  • Declining revenue or decelerating growth
  • Margin compression
  • Rising receivables / inventory vs. sales
  • Insider selling
  • Valuation premium to peers without justification
  • High short interest with deteriorating fundamentals
  • Accounting red flags (auditor changes, restatements)

Special Situation Screen

  • Recent IPOs / SPACs with lockup expirations
  • Spin-offs in last 12 months
  • Companies emerging from restructuring
  • Activist involvement
  • Management changes at underperforming companies

Step 3: Thematic Sweep

For thematic ideas, research the theme and identify beneficiaries:

  1. Define the thesis (e.g., "AI infrastructure spending accelerates through 2026")
  2. Map the value chain — who benefits directly vs. indirectly?
  3. Identify pure-play vs. diversified exposure
  4. Assess which names are already "priced in" vs. under-appreciated
  5. Look for second-order beneficiaries that the market hasn't connected to the theme

Step 4: Idea Presentation

For each idea that passes the screen, present:

[Company Name] — [Long/Short] — [One-Line Thesis]

MetricValuevs. Peers
Market cap
EV/EBITDA (NTM)
P/E (NTM)
Revenue growth
EBITDA margin
FCF yield

Thesis (3-5 bullets):

  • Why this is mispriced
  • What the market is missing
  • Catalyst to realize value

Key Risks:

  • What would make this wrong

Suggested Next Steps:

  • Build full model? Deep-dive diligence? Expert call?

Step 5: Output

  • Shortlist of 5-10 ideas with one-page summaries
  • Screening criteria and methodology documented
  • Comparison table across all ideas
  • Prioritized list: which ideas to research first

Important Notes

  • Screens surface candidates, not conclusions — every screen output needs fundamental work
  • The best ideas often come from intersections (e.g., quality company at value price due to temporary headwind)
  • Avoid crowded trades — check ownership data, short interest, and how many analysts cover the name
  • Contrarian ideas need a catalyst — being early without a catalyst is the same as being wrong
  • Track idea hit rates over time — which screens and approaches produce the best ideas?
  • Short ideas need higher conviction — timing is harder and risk is asymmetric

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