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Thursday, November 5, 2026

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@StableBread

Fajasy on X

If ur reading a write-up and they don't include a valuation range, more often than not: 1) They're lying to themselves. E.g. only pitching bull case. "The next 10x." $GRAB a couple years ago. 2) They're lying to you, the reader. E.g. not focusing on bear case enough. "It's asymmetric"... but actual downside if couple thing flops is 60%+. $FLNC just 2-3 months ago. 3) They have no clue and prob conclude by saying "position as small speculative bet" to be in a win-win scenario to gain subs. $CCXI today... Multiple based valuation is the simple/lazy route and easier to defend, yet less practical. Absolute valuations like DCF or Penman REV forces you to think more through scenarios and the business itself, which is what's actually useful because it's more subjective.
@convequity

Convequity on X

Whether AI can run security operations on its own comes down to one question: when an automated action is wrong, who is accountable for finding out what happened and fixing it? Our note borrows two levels from self-driving cars. At L2 the driver answers for mistakes. At L4 the car drives itself, so accountability shifts to the company behind the system. 1. At L2, a third-party AI agent mostly assists. It connects to a security platform over MCP, the protocol that lets an outside AI model pull data from a vendor's platform. It suggests next steps and drafts investigations, while the human and the security platform still hold the wheel. 2. At L4 or L5, the system acts with no human in the loop in the security operations centre. It quarantines a machine, kills a process, revokes access or blocks traffic. Any of those can be wrong. When one is, the customer needs a clear accountable party that will investigate and fix the problem. In our view $PANW can be that party. It is already inside the customer's systems, keeps audit trails, and its own products take those hard-to-reverse actions. AI model labs are poorly placed for that role. On our reading, their terms usually limit what they answer for, so when an outside agent acts wrongly, the customer is left to investigate and fix the problem alone. Outside agents compete most easily for the analyst's workspace, which is L2 work. That makes $PANW better placed than model labs to sell autonomy.

Investor Letters

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Trading Post November 5, 2026

MercadoLibre’s logistics expansion cut margins by 60 basis points, while Mercado Pago grew credit 62% with 7% NPLs.

MELI $77B
Cassandra Unchained 2 clicks

Intel: The CPU Comeback, Discounted

Intel's Q3 2026 results were hit by memory costs and an Israel shutdown, but enterprise AI inference could lift CPU demand as server…

INTC $287B
Monte Independent Investment Research 2 clicks

Problems at Twist Bioscience (TWST)

Twist Bioscience’s $200 rebound followed an Anthropic-linked short squeeze, yet its DNA and protein services face broad competition while…

TWST $8B
Hunterbrook 4 clicks

VSH Earnings Review

Vishay reported record Q3 revenue of $979 million, up 24%, and guided Q4 to about $990 million as rising backlog and margins contrast with…

VSH $3.6B
Cestrian Capital Research 3 clicks

Thursday Tailwinds #13: Nov 5, 2026

Florida marinas are 92% full as boat counts rise and permits constrain new supply, creating pricing power for existing operators such as…

SUI $14B
Trade Ideas Flow 6 clicks

eToro: Expanding Beyond Crypto

EToro trades at 2.89x EV/FCF with $304 million in trailing free cash flow, expanding from crypto into equities, commodities, currencies and…

ETOR $1.9B
Max Arnoldi 5 clicks
SILC · long

Silicom LTD

Silicom (SILC) is pitched as inexpensive on its existing hardware business, with upside framed as a cheap call option.

SILC $183M
Value Investors Club 4 clicks

Research Note

Nine Mile Metals is the subject of a research note.

VMSXF $14M
Atrium Research - Equity Research 5 clicks

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