When Crypto Bleeds and Stocks Float: The Case for Rules-Based Investing Over Conviction
The past few weeks have offered a textbook illustration of why capital preservation matters more than conviction. Crypto is in freefall. US equities are at record highs on increasingly thin foundations. And most retail investors are doing exactly the wrong thing in both markets.
This is the case for rules-based investing over strong opinions. Let me walk through what is actually happening across the Bitcoin crash and the S&P 500 melt-up, and why our strategies have been sitting in cash through most of it.
The crypto unwind: Bitcoin down more than 45% from its high
Bitcoin has had a brutal stretch. On June 4, 2026, BTC traded near $64,100 after falling from an intraweek high of $72,840, a 12% drop in a matter of days. At its lows, Bitcoin fell below $68,000, triggering more than $1.23 billion in crypto liquidations and extending a selloff that left the cryptocurrency over 45% below its record high.
This was not a single-cause event. The drivers stacked on top of one another. Traders reacted to sticky inflation concerns, uncertainty around Federal Reserve rate cuts, and renewed US dollar strength. When rates stay high, investors often prefer cash, bonds, or gold instead of volatile assets.
Two structural forces behind the Bitcoin selloff
Two structural factors deserve attention. First, the ETF picture turned. A record ETF withdrawal streak, higher yields, and broad risk aversion created a difficult backdrop for Bitcoin entering June. Second, a symbolic shift from the largest institutional holder. Bitcoin fell below $70,000 after Strategy made its first BTC sale in nearly four years, a move scrutinized by traders even though the 32 BTC sold was financially immaterial.
Perhaps the most interesting development for allocators is what it reveals about correlation. The growing divergence between Bitcoin and technology stocks challenges the popular view that Bitcoin simply trades as a high-beta version of the Nasdaq. For years, the lazy thesis was that crypto is just leveraged tech exposure. This selloff suggests the relationship is more complicated, and that diversification assumptions built on it are fragile.
Meanwhile, US equities are floating on a narrow base
Here is the paradox. While crypto bled, US stocks kept climbing. As of June 2, the S&P 500 had hit 23 all-time highs in 2026, following 96 all-time highs across 2024 and 2025. On the surface, this looks like strength. Underneath, it looks like concentration risk dressed up as a bull market.
Valuations at dot-com extremes
The valuation picture is historically extreme. The S&P 500's total market capitalization surpassed $69 trillion, with a Shiller P/E of 42.32 and a Buffett Indicator of 237%, echoing dot-com bubble extremes. Warren Buffett once described that indicator as the best single measure of valuation and warned that a reading exceeding 200% approaches speculative overheating.
The breadth problem: a market carried by six stocks
But the valuation is not the part that worries me most. It is the breadth. Only about 4% of stocks in the S&P 500 are at historical highs, a proportion that almost perfectly aligns with the peak of the dot-com bubble in 2000, while 85% of individual stocks have underperformed the index.
In other words, the index is being carried by a handful of names. Nvidia, Microsoft, Alphabet, Amazon, Broadcom and Meta account for almost 30% of the S&P 500, so an AI selloff would hit the index hard. Torsten Sløk of Apollo has a name for this: the "diversification illusion." Buying the S&P 500 gives the impression you are buying 500 different stocks and diversifying, but the reality is that high and growing concentration in the index continues to be a major problem.
The bull case is real, which is exactly why this is dangerous
I want to be fair here, because the most dangerous bubbles are the ones with a genuine story underneath. The AI earnings growth is not imaginary. In the first quarter of 2026, AI-related earnings are projected to grow by 40.7%, roughly triple that of the rest of the S&P 500 components. And the adoption argument has merit. With AI uptake estimated at just 25%, some strategists compare today's environment to the mid-1990s, when internet adoption fueled years of gains despite overvaluation concerns.
The problem is the gap between spending and returns. The big four hyperscalers' capital investment estimates for 2026 have swollen to $725 billion, with Moody's suggesting it could reach $785 billion and $1 trillion in 2027. Against that, research from Menlo Ventures estimates that only 3% of users pay for AI services, and dominant tech companies leveraging AI may be seeing only incremental improvements, not game-changing leaps.
A trillion dollars of capex chasing a 3% paying user base is not a thesis. It is a bet that the returns show up before the patience runs out.
What a rules-based strategy actually does in this market
This is where systematic management earns its keep. We do not have a view we are emotionally married to. We have a process.
Both of our strategies, Pure US Growth and Pure Crypto Growth, have spent most of this period in cash. Not because we predicted the crypto crash or called the equity top. We don't predict. We respond. When the trend is not confirmed and the risk-reward is poor, we don't deploy capital. It really is that simple.
The market right now presents two classic traps:
In crypto, the temptation is to "buy the dip" into a falling knife, averaging down on the assumption that 45% off the high must be a bargain. It might be. It might also be the middle of a longer unwind. We will not know until a real reversal confirms, and we are happy to miss the exact bottom in exchange for not catching the whole fall.
In equities, the temptation is the opposite: fear of missing the next leg up, chasing six names that already carry the entire index. Buying overheated leadership at a 42 Shiller P/E because it has worked for three years is how investors enter at the top of every cycle in history.
Our discipline is the same in both cases. We wait for trend confirmation. We size positions against a fixed risk budget. We cap losses at -5% to -7% per position and across the portfolio. And when conditions are hostile, we accept that cash is a position, not a failure.
The takeaway for serious capital
The investors who survive cycles like this are not the ones with the strongest opinions. They are the ones with the strongest rules. Conviction feels good on the way up and destroys portfolios on the way down. A system does the unglamorous work of keeping you solvent long enough to participate in the next real trend.
Crypto will bottom eventually. Equities will either grow into their valuations or correct toward them. We don't need to guess which happens first. We need to be positioned to act decisively when the signal is clear, and to do nothing, profitably, until then.
If you manage $100K or more and want to discuss how a rules-based approach applies to your portfolio, including positioning, risk structure, and tax efficiency, you can book a consultation through our website. You can also review our investment strategy and verified track record.
About the author. Victor Nelin is the founder of Trend Alpha Corporation, a CFA charterholder and MBA who ranked Top 20 in the 2024 U.S. Investing Championship. He has eight years of documented live-trading history and a six-year average annual ROI of 25%. Read his full track record.
Frequently asked questions
Why is Bitcoin crashing in 2026?
The selloff was driven by a stack of factors rather than one cause: sticky inflation, uncertainty over Federal Reserve rate cuts, a stronger US dollar, a record ETF withdrawal streak, and a symbolic first BTC sale in nearly four years by its largest institutional holder. By early June, Bitcoin had fallen more than 45% below its record high.
Is the S&P 500 in a bubble?
Valuations sit at dot-com extremes, with a Shiller P/E above 42 and a Buffett Indicator near 237%. Just six stocks make up almost 30% of the index, and roughly 85% of individual stocks have underperformed it. That concentration is the core risk, even if AI earnings growth is real.
What does it mean to hold cash as a position?
It means refusing to deploy capital when the trend is unconfirmed and the risk-reward is poor. Instead of forcing trades, a rules-based strategy waits for trend confirmation, sizes positions against a fixed risk budget, and caps losses, accepting that not participating in a hostile market is a deliberate choice rather than a failure.