Sean D. Emory

Today, we’re introducing $AVRY, the Avory Foundational ETF. AVRY was built to serve as a long-term core equity holding. It is actively managed, non-index, intentionally concentrated, and unconstrained by benchmarks or rigid cash targets. The portfolio focuses on approximately 20–30 high-quality businesses that are foundational to their industries and positioned for durable, secular growth, while remaining valuation-aware. This is not a thematic ETF. It is not designed to chase short-term narratives. AVRY is built for durability, discipline, and long-term compounding. Infographic Source: Avory & Co. As of Date: 12/01/25 For informational purposes only and is not intended to be a complete list of comparison features. ________ Investors should consider the investment objectives, risks, charges, and expenses carefully before investing. For a prospectus or summary prospectus with this and other information about the Fund, please call 563.320.1688. or visit avoryfunds.com . Read the prospectus or summary prospectus carefully before investing. Investments involve risk, including the loss of principal. Past performance does not guarantee future results. Equity Investing Risk. An investment in the Fund involves risks similar to those of investing in any fund holding equity securities, such as market fluctuations, changes in interest rates and perceived trends in stock prices. The values of equity securities could decline generally or could underperform other investments. Management Risk. The Fund is actively managed and may not meet its investment objective based on the Adviser’s or Sub-Adviser’s success or failure to implement investment strategies for the Fund $BMNR $NVDA $XYZ $RBLX $YOU

Fewer jobs per business are creating new businesses.

@joni_vrbt @BradoCapital at @fiscal_ai

Name a tech company that has literally zero haters

@elerianm @carlquintanilla

This, from Bloomberg, is not good news for a market segment that is already challenged to separate signal from noise, let alone properly differentiate among funds/firms in this space. #markets #privatecredit

This. $XYZ Saw it live in action.

@aynirealtor @daltonbrewer @piangfa @CuriousPejjy @JIMROInvest @schaeffers @jbulltard1 @Banana3Stocks Here they come

@daltonbrewer @piangfa @CuriousPejjy @JIMROInvest @schaeffers @_SeanDavid @jbulltard1 @Banana3Stocks

GigaTexas. $TSLA

@emcross23 @HarryStebbings @rodriscoll @jasonlk And they say markets are efficient

Just a flag for @HarryStebbings @rodriscoll @jasonlk that are referencing Block growing revenue 2-3%. We measure top line performance using gross profit. Gross revenue recognition of bitcoin trading skews revenue a lot. We grew gross profit 24% in Q4 and guided to growing gross profit 18% in 2026...

@RadCentrism @buccocapital Bringing the gold

@_SeanDavid @buccocapital wsj.com/tech/ai/openai…

Wow. Anthropic is eating OpenAI’s lunch in the enterprise

Headline tells me two things. 1. Signal that private credit fears overblown. 2. Capital still hungry for private credit.

@RadCentrism @buccocapital Which

@buccocapital @_SeanDavid did you read about the “side quest” speech?

Looks like Anthropic and OpenAi are heavy users of outside software tools. Good to see Zoom in there. $ZM Not shown here but all use $WDAY also.

Adding to my last post... as not all Fed meetings are the same. Market reaction depends on what the Fed does also. • Hikes = short-term fine, slower after Day: +0.19% 3M: +1.45% • Cuts = weak initial reaction (makes sense as usually coming from place of stress) Day: -0.04% 3M: +0.62% • Holds = strongest setup (cough cough) 1M: +1.02% 3M: +2.92% 75% positive The best returns don’t come from more movement but rather some level of stability $SPY $TLT $GLD $QQQ

@cole_barcia @nachunja That’s clever. @owenbjennings

@_SeanDavid @nachunja They could integrate promotions into geospatial games like Pokémon Go 💚

$XYZ Cash Apples is on to something. I want to see couple things in the next iteration: 1) a bit more fun, addictive gameplay 2) social aspect such as: a – leaderboard amongst their friends or city b – ability and/or incentive to invite friends c – ability to chat

Fed days feel volatile, but the data is pretty clear: • Day-of is slightly positive SPY +0.22% | QQQ +0.34% • First week is noise SPY -0.15% | QQQ -0.02% • Then markets drift higher 1M: • SPY +0.69% • QQQ +1.11% 6M: • $SPY +4.77% • $QQQ +5.98% • Bonds barely move over time $TLT • Gold actually trends higher (+6.06% at 6M) • Dollar impact is mixed to slightly positive $DXY $GLD $TLT

Truth.

@Jason Clear next move is just build data centers on the properties.

Vail resorts $mtn destroyed skiing in America so badly that its cheaper to fly your family to the Alps or Japan Disgraziad!

@QualityInvest5 E is no longer the best valuation gauge. But we are long so agree with the conclusion however.

I'm struggling to find how $META doesn't work from these valuations?

AI = need for identity. Its going to be so bad.

@RadCentrism @HedgieMarkets Oops, it keeps coming. So obvious.

@HedgieMarkets @_SeanDavid

🦔 Researchers at Aikido Security found 151 malicious packages uploaded to GitHub between March 3 and March 9. The packages use Unicode characters that are invisible to humans but execute as code when run. Manual code reviews and static analysis tools see only whitespace or blank lines. The surrounding code looks legitimate, with realistic documentation tweaks, version bumps, and bug fixes. Researchers suspect the attackers are using LLMs to generate convincing packages at scale. Similar packages have been found on NPM and the VS Code marketplace. My Take Supply chain attacks on code repositories aren't new, but this technique is nasty. The malicious payload is encoded in Unicode characters that don't render in any editor, terminal, or review interface. You can stare at the code all day and see nothing. A small decoder extracts the hidden bytes at runtime and passes them to eval(). Unless you're specifically looking for invisible Unicode ranges, you won't catch it. The researchers think AI is writing these packages because 151 bespoke code changes across different projects in a week isn't something a human team could do manually. If that's right, we're watching AI-generated attacks hit AI-assisted development workflows. The vibe coders pulling packages without reading them are the target, and there are a lot of them. The best defense is still carefully inspecting dependencies before adding them, but that's exactly the step people skip when they're moving fast. I don't really know how any of this gets better. The attackers are scaling faster than the defenses. Hedgie🤗 arstechnica.com/security/2026/…

@RadCentrism @OphirGottlieb YUP! What we been preaching for years now.

@OphirGottlieb @_SeanDavid