Can You Catch a Market Peak? The Peak Reversal Portfolio
The central question is simple: instead of shorting an expensive asset too early, could we own it while the trend remains intact and switch to a short position only when the evidence suggests that the peak has passed?
That distinction is the heart of the post. We are not claiming to identify the exact highest price in advance. The strategy will necessarily react after the top, sacrificing the first part of a decline in exchange for more evidence that the direction has genuinely changed.
How the strategy works
The portfolio begins with the usual $100 million in Wall Street Game money:
- Ten positions of approximately $9.5 million each
- Around $5 million retained as cash
- Seven technology shares and three cryptocurrencies
- Every asset can be held either long or short
- The strategy is reviewed automatically every US trading day
Each daily review considers:
- Five-, 20- and 60-day price performance
- The 20- and 50-day moving averages
- Fourteen-day RSI
- The asset’s position within its 60-day trading range
- Recent company or cryptocurrency news
- Broader financial and economic news
A high price is not enough to trigger a short. Strong assets frequently become expensive and then continue rising.
The model first asks whether an asset is stretched—for example, trading near the top of its 60-day range with an elevated RSI or a particularly strong 20-day gain. It then looks for evidence of a rollover, such as negative five-day momentum or a fall below the 20-day moving average.
Only when extension and deterioration appear together can the portfolio change from long to short. News affects the strength of the signal, but a frightening headline cannot trigger a trade by itself.
Once short, the position remains short until the trend shows convincing recovery. There is also a safety rule: a short that moves 20% against the portfolio is closed and returned to the long side.
Why these ten assets?
This is intentionally not a diversified portfolio. It is a concentrated experiment in assets strongly associated with AI enthusiasm, growth expectations, market liquidity and speculative risk appetite.
AssetWhy it belongs Microsoft. A useful benchmark for high-quality technology: enormous cash flow, cloud and AI exposure, but still sensitive to changing expectations about growth and interest rates. Nvidia The clearest expression of the AI infrastructure boom. Extraordinary expectations and volatility make it an obvious candidate for studying whether momentum can identify a genuine reversal. Alphabet Combines a very profitable existing search business with uncertainty over how AI may change that business. It gives the experiment both strength and disruption risk. Meta Exposed to advertising, consumer confidence and enormous AI investment. Its market value can respond sharply when investors change their view of spending or future returns. Amazon Combines cloud computing, AI infrastructure, retail and the wider economy. It can react to both interest-rate expectations and changing consumer demand. Tesla Probably the most narrative-driven equity in the portfolio. Its price can move well beyond conventional valuation measures, making it particularly suitable for a momentum-and-reversal experiment. Broadcom Adds semiconductor, networking and infrastructure-software exposure. It is another important beneficiary of AI investment, but with somewhat different business drivers from Nvidia. Bitcoin The flagship measure of cryptocurrency appetite. It responds to liquidity, institutional flows, regulation, inflation narratives and general willingness to take risk. Ethereum More closely connected to blockchain applications and network activity. It behaves partly like a technology platform and partly like a speculative monetary asset. Solana The highest-beta cryptocurrency in the group. It can exaggerate movements in crypto sentiment and may provide an earlier indication that speculative enthusiasm is weakening.
The equal dollar allocations are also deliberately provocative. They do not represent equal risk: $9.5 million in Solana or Tesla is likely to move much more violently than $9.5 million in Microsoft. That is part of what makes this the riskiest Wall Street Game experiment so far.
Where the experiment begins
The first daily analysis found no confirmed peaks, so all ten assets started long.
Several—particularly Nvidia, Bitcoin, Ethereum and Microsoft—were already trading near the upper end of their recent ranges. But their trends had not deteriorated sufficiently to justify reversing them. Solana showed some weakening short-term momentum, but it had not crossed the full confirmation threshold.
That gives the post a good opening result: the portfolio was created because we were worried about a possible peak, but the rules told us not to short anything yet.
The honest limitations
The experiment may fail in several ways:
- It will never sell at the exact top because the top becomes visible only afterward.
- Sharp reversals can happen faster than a once-daily system can respond.
- News scoring inevitably misses context and nuance.
- The ten assets are highly correlated and could decline together.
- The model may switch short immediately before a rapid recovery.
- Equal dollar weighting produces very unequal volatility.
- The 20% short stop limits damage but can still represent a substantial loss.
That honesty is what makes the experiment interesting. We have recorded the assets, rules and starting positions before knowing what happens. Six or twelve months from now, we will be able to see whether the model captured meaningful reversals—or merely chased the market after each change had already occurred.
Originally published on Substack on 07 September 2026.