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BofA’s Hartnett Warns Mega Tech IPOs Risk a ‘Roaring ’20s’ Style Market Bubble

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Key Points:

  • Bank of America’s Bull & Bear Indicator hit 8.0, triggering a “contrarian sell signal” for risk assets.
  • Investors are ignoring the sell signal to chase an upcoming wave of mega-IPOs like SpaceX and OpenAI.
  • Strategist Michael Hartnett warns that a heavy concentration of massive tech listings often signals a late-stage market bubble.
  • A deep economic rift has opened, with average consumer stocks falling to their lowest levels since the 2008 financial crisis.

The stock market just triggered a major alarm, but investors seem too distracted by the promise of massive technology listings to care. Bank of America’s widely watched Bull & Bear Indicator reached an extreme rating of 8.0 this week, officially flashing a contrarian sell signal for global risk assets. Historically, this signal has warned of an imminent market downturn, yet strategists led by chief investment strategist Michael Hartnett say investors are in no rush to cut their stock holdings. Instead, the market is aggressively chasing a historic wave of upcoming mega-IPOs.

The indicator rose to 8.0 from 7.8, driven by extreme market behavior. Investors poured massive amounts of capital into technology funds while fund managers aggressively slashed their cash reserves down to a tight 3.9%. This has happened only 17 times since 2002. In almost every previous instance, global stocks suffered an average loss of 2% to 3% over the following two to three months. However, the current buying frenzy has completely blocked out these historical warning signs.

The main reason investors are refusing to sell is the anticipation of a massive lineup of tech giants preparing to go public. Companies like Elon Musk’s rocket firm, SpaceX, and ChatGPT creator OpenAI are actively moving toward their own multi-billion-dollar listings. Investors believe these highly anticipated mega-IPOs will act as massive growth catalysts, pushing the overall market even higher. But Hartnett warns that this exact environment closely mirrors the late stages of historic manias, most notably the bubble that preceded the Roaring Twenties crash.

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Hartnett explained that when private equity and venture capital firms rush to execute massive public listings all at once, it often indicates that a market bubble has reached its absolute peak. Early startup backers want to cash out their holdings at astronomical valuations before the public’s appetite for risk finally cools down. Chasing these high-profile, multi-billion-dollar listings can pull capital away from stable, income-generating sectors, leaving the broader stock market highly vulnerable to a sudden crash.

The research note also highlighted a deep and dangerous rift between the stock market on Wall Street and the reality of consumers on Main Street. Viewers of financial indexes see tech stocks booming, but average consumer stocks have actually fallen below their post-Global Financial Crisis lows relative to the S&P 500. This means that while a handful of massive tech companies are booming, everyday American businesses are quietly struggling under the weight of high costs. This economic pain has translated into political trouble, with public approval on inflation currently standing at just 28%.

If this artificial intelligence-driven tech bubble does eventually pop, Bank of America has outlined several strategic plays to help investors protect their wealth. Hartnett believes that non-tech consumer stocks represent the absolute best contrarian play once the market cools down. He also noted that the smartest way to play artificial intelligence in the long term will be to buy small-cap companies that adopt the technology to destroy established monopolies, rather than overpaying for the giants building the hardware.

For long-term investors, the bank remains highly bullish on emerging markets and physical commodities. A decade of severe underinvestment in raw materials, oil, and agriculture has created structural supply deficits that will likely drive prices higher for years. Investors looking to hedge against a potential stock market collapse should consider investing in tangible assets such as gold, silver, and energy infrastructure.

The latest weekly flow data from Bank of America proves that some investors are already quietly moving their money into safer havens. Bond funds dominated global asset flows over the past week, drawing a massive $30.5 billion. This marks an incredible 56th consecutive week of inflows for fixed-income assets. At the same time, traditional stock funds only managed to attract a modest $2.4 billion, while the highly volatile cryptocurrency market suffered its largest weekly outflow since February, with investors withdrawing $1.5 billion.

Within the stock market, the technology sector still captured almost all of the remaining investor enthusiasm. Tech funds took in a massive $9.0 billion in fresh capital, representing their largest single-week inflow since October 2025. Investors also rushed into secure government debt, pouring $10.8 billion into United States Treasuries. This is the largest inflow the Treasury market has seen in more than nine weeks, proving that some major players are quietly building up cash buffers.

For now, the buying frenzy continues, but the clock is ticking on this record-breaking bull run. Hartnett expects the stock market’s upward chase to complete its cycle fully in the coming weeks. He warned investors that early June represents the ultimate profit-taking window of the year. He strongly advises traders to use this temporary period of high liquidity to trim their tech exposure and prepare their portfolios before the massive wave of mega-IPOs finally pushes the market past its limits.

EDITORIAL TEAM
EDITORIAL TEAM
Al Mahmud Al Mamun leads the TechGolly editorial team. He served as Editor-in-Chief of a world-leading professional research Magazine. Rasel Hossain is supporting as Managing Editor. Our team is intercorporate with technologists, researchers, and technology writers. We have substantial expertise in Information Technology (IT), Artificial Intelligence (AI), and Embedded Technology.