从地毯扣到速率:一切,无处不在
From Rug-Pulls To Rate-Cuts: Everything, Everywhere, All At Once

原始链接: https://www.zerohedge.com/markets/rug-pulls-rate-cuts-everything-everywhere-all-once

学院证券的彼得·泰尔(Peter Tchir)突出了关键市场驱动力,从关税开始。他认为,在承认墨西哥的潜在批评时,他认为关税会对全球经济产生负面影响,从而导致人工数据通货膨胀和雇用冻结。 关于AI,Tchir指出了从大型语言模型(LLM)转变为更精确的“推论”模型和自定义实施,从而使小型公司受益并重塑投资策略。 他认为加密货币弱点,尤其是在山寨币中,通过减少的财富影响影响了市场细分,并可能影响更广泛的经济。他还指出,涉及杠杆ETF和套利交易的推动力,涉及微观流通(MSTR)的估值(MSTR)。 情感指标表现出很大的恐惧,但投入浸入行为表明投资者没有完全推销。他仍然专注于利率和经济,对经济倾向,并调整他的利率前景。他对大型动量股票保持看跌看法,但暗示了多样化。他预计,随着经济风险的出现,信贷差异将扩大,建议发行人利用当前的低收益环境。


原文

Authored by Peter Tchir via AcademySecurities.com,

We plan to cover much of this in the weekend report, but given the magnitude of the moves this week, we want to review where we stand ahead of Friday’s trading.

We did get to cover some of this on Wednesday on Bloomberg TV (starts at the 52 minute mark)...

...but here is a quick summary.

Tariffs

A lot of confusing messaging this week, some of which has to be corrected. 

The negative news is that tariffs seem likely to be imposed, and even if they get relieved later on, some damage to the economy will be done. Mexico did deliver some cartel leaders to the U.S., so maybe they get another reprieve, which would be good for markets, but as a whole, my view is that no matter how tariffs  play out, they are impacting the global economy negatively. Decisions are being made to front run them (which artificially propped up some data) but will leave companies somewhat frozen in terms of hiring decisions.

AI

The risks and rewards in the AI space are shifting. Speaking with Academy’s General (ret.) Groen (former head of the Joint Artificial Intelligence Committee) he pointed out two trends, which are very good for companies and the economy, but I think will shift how investors invest:

  • The shift to “inference” models from LLM’s. LLM’s were all the rage, but despite some excitement about how quickly they can summarize things and improve search, it is unclear how much impact they have in the real world. Add in hallucination risk and it is even less clear. Inference models are not as fast, but are more detailed.

  • Custom designed tactical implementations. We don’t need to base decisions on everything in the world wide web. We need to run this factory, for example, more efficiently. What can AI do that either humans cannot do, cannot do quickly enough, or we don’t have enough humans to do?

AI is growing and evolving rapidly as is how it is used. That could continue to reshape how investors invest and who gains and who loses from that shift. Cheaper AI should in theory let more companies, including smaller companies benefit.

Crypto

The wealth effect from crypto is real, and all too often ignored by “traditional” economists. Bitcoin is down a lot, but the “alt” coin world has been hit even harder. I think there will be continued pressure on bitcoin until a couple of things are “resolved”

  • Is MSTR trading at an “appropriate” valuation relative to its bitcoin holdings. This is crucial because the premium was pumped by inclusion in the Nasdaq 100 (forced buying) and the popularity of the single stock leveraged ETFs (MSTU and MSTX have a combined $1.5 billion in AUM, even after major price declines). An allegedly popular arbitrage trade is to short the company and own bitcoin (or the bitcoin ETFs, which is the preferred method for margining, mark to market, etc.). As the premium declines, people take off that trade, putting pressure on bitcoin.

  • Are “only” meme coins, rug pulls? The backlash against meme coins is real. It, ironically, pushed some people into bitcoin, which the maximalists tout s the only way to invest in crypto. That could provide support, or could, investors start asking what the difference between bitcoin is and the coins that have rug pulled of late? Again, if you want to make your head hurt, look for tweets about bitcoin gain and bitcoin yield in relation to publicly traded companies and delve into the comment section. The tweets themselves are confusing (to me) but the comment sections are something to digest.

With crypto weak, it is going to be difficult (not impossible, but difficult) for some segments of the stock market to do well. Those that tend to have cross ownership with crypto. It may also hurt the economy as significant wealth has dissipated in recent weeks.

Sentiment

According to indicators like the CNN Fear and Greed Index and AAII Investor Sentiment Survey we have moved to high levels of fear. Normally positive as a contrarian.

However, when I check on some of the frothiest ETFs (see the aforementioned 2x etfs, amongst others) I see evidence that investors have been buying the dip all week.

Maybe buy the dip will work, but we haven’t seen a good capitulation in quite some time, so maybe this is the time the next leg or two down takes out the dip buyers? Investor cash on the sidelines, at least when looking at mutual fund cash holdings, is quite low.

Messaging screams bearish, but actual trading doesn’t seem to reflect that. So for now I’m going to largely ignore these contrarian signals. Thinking about them, but not acting on them.

Rates and the Economy

Rates and the economy are both telling us the same thing. Ignore the rising concerns about inflation because there are a lot more negatives to discuss about the economy than positives. But that we can delve into in more detail this weekend.

Bottom Line

Have to admit, I cannot be bearish interest rates here. I’ve basically capitulated on where I think 10’s should be and how many rate cuts we will. The capitulation is not so much because the administration seems to be focused on them (which is a good thing) but because no matter the end game, I see a lot of bumps in the coming weeks and months for the economy.

I’m less bearish overall on equities (it has been a good move), though my portfolio recommendation remains bearish large cap momentum/ QQQ while spreading risk across other sectors and factors. Getting back to pre-election levels for the S&P and Nasdaq remains my target, though I won’t be pounding the table quite as hard today, as we did coming into recent weeks.

Credit spreads are due to start feeling the pinch. While the equity move was primarily a valuation issue, spreads could remain stable. As this spreads to an economic risk, look for spreads to finally start to widen. Not yet exciting enough to dedicate a lot of time to credit spreads, but I suspect that in the coming days and weeks, credit will go from being dull and boring, to at least mildly intriguing. Issuers should be issuing into this low yield, low spread, high demand environment!

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