Hedge Fund Database
The curated database of hedge funds that publish investor letters. Research by geography, strategy, and schools of thought.
| # | Fund | Strategy | Style | Geography | AUM | Latest Letter |
|---|---|---|---|---|---|---|
The curated database of hedge funds that publish investor letters. Research by geography, strategy, and schools of thought.
| # | Fund | Strategy | Style | Geography | AUM | Latest Letter |
|---|---|---|---|---|---|---|
As of Oct 11, 2026
Torre Financial focuses on investing in durable, high-quality, high-return-on-capital compounders with identifiable competitive advantages and reinvestment runway, requiring fundamental business growth to drive returns rather than valuation multiple expansion. For the third quarter of 2026, the Torre Financial Model Portfolio gained 0.6% net of fees, bringing year-to-date performance to 2.4% net of fees, lagging the benchmark index. Performance was driven by positive contributions from Arista Networks, Intercontinental Exchange, Meta Platforms, and Cintas, offset by drawdowns in aerospace holdings GE Aerospace and TransDigm, alongside GE Vernova, Booking Holdings, and Broadcom. Macro risks center on interest rate increases by the Federal Reserve and ongoing conflict in Iran supporting inflationary pressures. Portfolio positioning remains concentrated and fully invested across 25 holdings, with the manager rotating capital out of slow-growing Linde and low-moat contractor Comfort Systems into government software provider Tyler Technologies.
Long-term compounding is achieved by investing in durable, high-return-on-capital businesses where per-share cash flow growth and shrinking share counts generate returns independent of multiple expansion.
The manager expects equity returns to be driven predominantly by organic earnings growth, cash flow generation, and share count reductions rather than valuation multiple expansion. With the Federal Reserve raising interest rates and persistent inflation driven by conflict in Iran, long-duration asset multiples remain under pressure. Furthermore, as the AI infrastructure buildout increasingly relies on borrowed funds rather than operational cash flow, companies situated furthest upstream from end customers face heightened vulnerability to shifts in lender appetite and financing availability.
Moderate Conviction Bullish
Market Conviction
Growth Outlook
Risk Appetite
Capital Deployment
Forward Guidance
Language Signal
Perceived Risk
Opportunity Density
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Top Conviction Themes
Key Catalysts
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