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Ali Martinez, an on-chain trading expert on X, said late on Monday, April 7, that the U.S. stock market may experience a false rise in the coming months before a major decline unfolds over several years. Martinez’s view is based on what he described as a chart similarity between the S&P 500’s path in 2026 and its run-up in 2007 ahead of the Great Recession.
In the post, Martinez highlighted that the pattern that preceded the S&P 500’s 1,576 high nearly 19 years ago appears to be an almost mirror image of what is observable in the index’s most recent 12 months. He pointed to the 2007 rally’s subsequent collapse, when the S&P 500 fell 57.68% to a 2009 bottom near 667 points.
Based on that comparison, Martinez extrapolated that the index could rally to 7,150 in the coming months before dropping 56.22% to 3,130 by, presumably, 2028.
Martinez’s analysis aligns with wider fears that the U.S. and global economy could face a severe financial downturn. One structural issue cited is the long period of financial stimulus through near-zero interest rates, which is described as enabling the growth of “zombie companies”—firms that might have failed without access to very cheap debt.
These companies are generally viewed as harmful because they can drag productivity down while crowding out healthier businesses and diverting capital and attention.
National debt is another frequently discussed risk factor. By April 2026, it was reported to have crossed above $39 trillion, about 27% higher than the latest annual nominal GDP figure of approximately $30.6 trillion.
The article also cited forecasts that President Donald Trump’s administration could add $7 trillion more over the next 10 years from the military budget alone. It noted that this would come on top of other spending, including nearly $3 trillion taken during the first 14 months of the presidency.
The technology sector—particularly its focus on artificial intelligence (AI)—was also described as a potential source of risk. The article said Big Tech faces mounting criticism over monopolistic practices and that some companies are viewed as creatively constrained.
Meta Platforms (META) was cited as an example, referencing the Metaverse’s failure, the company’s role in the Cambridge Analytica scandal and related data harvesting, and the claim that many of its successes in the last decade came from buying promising startups and potential competitors.
At the same time, the article described the AI boom as siphoning “hundreds of billions” in investments despite remaining unprofitable, while also facing setbacks in infrastructure. It pointed to a mismatch between the number of data centers announced and those that are actually close to beginning construction.
It also raised demand-side concerns, including claims that AI has been used as a rationale for layoffs. By 2025, the length of job searches was described as becoming a hot topic, with accusations that companies may be posting fake job listings to suggest growth to investors.
Geopolitics was presented as another driver of downturn forecasts. The article said the ongoing Iran war has led to the closure of one of the world’s most important waterways and has put heavy industry at risk of destruction.
While oil has drawn much attention, it noted that fertilizer, helium, LNG, aluminum, and other critical-input supply chains are also at risk. It added that even if the Strait of Hormuz is reopened, supply is unlikely to quickly return to pre-war levels because facilities have been damaged or suspended, and restoring capacity could take weeks or months.
The article also referenced Michael Burry, known for his role in the “Big Short,” who has previously discussed structural risks in markets. It said Burry warned that the next financial crisis could involve the S&P 500 declining more than 50% and highlighted another long-term risk: by 2028, many index funds could face unprecedented outflows as Baby Boomers retire.
It further stated that Burry is critical of index funds’ impact on market health, arguing they can reduce price discovery—leading some assets to trade higher due to index-related flows rather than fundamentals tied to underlying business performance.

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