Fortune54%

The stock market is about to suffer a ‘snapback’ and will lose much of this year’s gains as ‘speculation is hitting extreme levels,’ BofA warns 82%

By Jason Ma77%

7/5/2026, 7:43:41 PM

BS Summary: This article contains 27 faulty reasoning types, including Biased Writer Voice, Representativeness Heuristic, and Recency Bias, with Negativity Bias as the most egregious example at 35.6% saturation with 237 hits. Analysis detected 1,647 faulty-reasoning hits from 666 analyzed words, generating a BS Score of 72.9% and a BS Rank of 82% (4,137 of 21,886 articles). This article is worse (more manipulative) than 81.10% of the article peer group.

The S&P 500 just notched its best quarter since 2020 and is up about 9% so far this year, but it’s mostly downhill from here, according to Bank of America. 
In a note on Tuesday, analysts reaffirmed their year-end price target of 7,100 for the broad market index, representing a 5% drop from the week’s closing level. 
“Our bear market signposts suggest speculation is hitting extreme levels as high multiple stocks have gapped up demonstrably, an event that has historically preceded a valuation ‘snapback,'” BofA said. 
The bank added that S&P 500 companies are generating less free cash flow relative to net income compared to historical trends. 
That’s as so-called hyperscalers have seen their free cash flow plunge due to massive spending on the AI boom, eroding their earnings. 
At the same time, the Federal Reserve is fighting sticky inflation after more than five years of letting it run above its 2% target. 
BofA recently predicted the Fed has now run out of patience and will hike rates three times this year to finally rein in inflation. 
To be sure, the S&P 500 generally saw positive returns during previous tightening cycles, as stocks peaked six to 12 months after the first rate hike. 
But Fed rate hikes now would hit differently, BofA explained, because the S&P 500 is more expensive ahead of a first rate hike than any other cycle, except for the one that ran from 1999 to 2000. 
Chip stocks in particular have been on astronomical runs lately as the unrelenting AI boom sends demand soaring. 
Micron Technology, for example, is up 242% so far in 2026 and up 700% from a year ago, even after a recent selloff. 
That’s fueled worries that the good times may be coming to an end soon. 
After hitting an all-time high of 7,621 just a month ago, the S&P 500 has gone on wild swings, losing about 2% in the process. 
Elsewhere, stocks have been on even worse stomach-churning rollercoasters. 
South Korea’s high-flying Kospi stock index, which is dominated by AI darlings SK Hynix, and Samsung, set a new record a few weeks ago only to suffer its fifth worst daily plunge ever days later. 
Such moves are especially worrisome for Capital Economics, which pointed out that similar selloffs have previously only happened during bear markets like during the Asian financial crisis, the dot-com bubble, and the Great Financial Crisis. 
“This volatility is, in our view, evidence of excessive froth and calls into the question the sustainability of this rally,” analysts said. 
Even a mostly bullish outlook from JPMorgan last month came with a “flash crash” warning. 
Still, analysts raised their year-end S&P 500 target to 7,800 from 7,600, citing strong earnings estimates. 
The forecast assumes the Fed holds rate steady this year, then raises next year, while the market’s top gainers will remain highly concentrated in AI stocks. 
“That said, the path higher is likely to be non-linear given a tougher bar into 2Q earnings, crowded Momentum positioning (especially Low- Quality and Speculative Growth segments) that continues to face high probability of a flash-crash, rapidly increasing equity supply, and potentially tighter monetary policy that could constrain equity multiples,” JPMorgan wrote. 
Others on Wall Street are more bullish. 
Yardeni Research President Ed Yardeni, who has been beating the drum about another Roaring Twenties since the decade began, hiked his year-end target for the S&P 500 to 8,250 from 7,700 in May. 
He cited strong corporate earnings and expectations that they will remain robust. 
Yardeni backed his view over the weekend and dismissed comparisons between today’s AI boom and the dot-com bubble. 
“The late 1990s meltup was led by the forward P/E of the S&P 500 Information Technology sector,” he wrote on Saturday. 
“It was driven by FOMO (fear of missing out). 
The current bull market is driven by FEMO (fabulous earnings momentum).” 
Article reasoning-pattern comparisonThis article: 8.6%Jason Ma: 4.4%Fortune: 4.2%Confirmation Bias8.6%This article: 3.6%Jason Ma: 2.0%Fortune: 1.4%Anchoring Bias3.6%This article: 12.3%Jason Ma: 5.9%Fortune: 3.3%Availability Heuristic12.3%This article: 18.3%Jason Ma: 2.3%Fortune: 1.4%Representativeness Heuristic18.3%This article: 3.9%Jason Ma: 1.3%Fortune: 1.1%Hindsight Bias3.9%This article: 7.8%Jason Ma: 5.0%Fortune: 2.7%Overconfidence Bias7.8%This article: 5.9%Jason Ma: 11.9%Fortune: 6.7%Framing Effect5.9%This article: 2.1%Jason Ma: 0.6%Fortune: 0.5%Loss Aversion2.1%This article: 0.0%Jason Ma: 0.5%Fortune: 0.6%Status Quo Bias0.0%This article: 0.0%Jason Ma: 0.0%Fortune: 0.3%Sunk Cost Effect0.0%This article: 9.3%Jason Ma: 3.4%Fortune: 3.4%Optimism Bias9.3%This article: 15.0%Jason Ma: 7.4%Fortune: 2.5%Pessimism Bias15.0%This article: 35.6%Jason Ma: 14.1%Fortune: 7.0%Negativity Bias35.6%This article: 2.7%Jason Ma: 0.2%Fortune: 1.7%Self-Serving Bias2.7%This article: 3.3%Jason Ma: 1.0%Fortune: 0.9%Fundamental Attribution Error3.3%This article: 0.0%Jason Ma: 0.2%Fortune: 0.2%Actor-Observer Bias0.0%This article: 0.0%Jason Ma: 0.0%Fortune: 0.8%In-Group Bias0.0%This article: 0.0%Jason Ma: 0.6%Fortune: 0.4%Out-Group Homogeneity Bias0.0%This article: 0.0%Jason Ma: 2.6%Fortune: 3.2%Halo Effect0.0%This article: 0.0%Jason Ma: 0.0%Fortune: 0.0%Horn Effect0.0%This article: 0.0%Jason Ma: 0.0%Fortune: 0.0%Dunning-Kruger Effect0.0%This article: 15.2%Jason Ma: 2.6%Fortune: 1.5%Recency Bias15.2%This article: 5.0%Jason Ma: 0.5%Fortune: 0.3%Primacy Effect5.0%This article: 0.0%Jason Ma: 0.0%Fortune: 0.0%Blind-Spot Bias0.0%This article: 5.0%Jason Ma: 0.2%Fortune: 0.7%Ad Hominem5.0%This article: 0.0%Jason Ma: 0.0%Fortune: 0.2%Straw Man0.0%This article: 10.1%Jason Ma: 8.5%Fortune: 4.8%Appeal to Authority10.1%This article: 9.5%Jason Ma: 2.7%Fortune: 2.2%False Dilemma9.5%This article: 0.0%Jason Ma: 3.4%Fortune: 1.3%Slippery Slope0.0%This article: 7.8%Jason Ma: 0.2%Fortune: 0.3%Circular Reasoning7.8%This article: 0.0%Jason Ma: 6.1%Fortune: 6.0%Hasty Generalization0.0%This article: 0.0%Jason Ma: 0.4%Fortune: 0.2%Red Herring0.0%This article: 1.1%Jason Ma: 0.2%Fortune: 0.5%Bandwagon1.1%This article: 9.2%Jason Ma: 4.3%Fortune: 3.1%Appeal to Emotion9.2%This article: 3.3%Jason Ma: 0.7%Fortune: 1.2%Begging the Question3.3%This article: 12.9%Jason Ma: 4.9%Fortune: 3.9%Post Hoc (False Cause)12.9%This article: 0.0%Jason Ma: 0.1%Fortune: 0.1%Tu Quoque0.0%This article: 0.0%Jason Ma: 0.3%Fortune: 0.3%Burden of Proof0.0%This article: 0.0%Jason Ma: 0.3%Fortune: 0.2%Appeal to Nature0.0%This article: 0.0%Jason Ma: 0.3%Fortune: 0.4%Composition/Division0.0%This article: 8.7%Jason Ma: 2.5%Fortune: 2.5%Anecdotal8.7%This article: 0.0%Jason Ma: 0.0%Fortune: 0.2%No True Scotsman0.0%This article: 5.7%Jason Ma: 2.3%Fortune: 2.2%Ambiguity (Equivocation)5.7%This article: 0.0%Jason Ma: 0.0%Fortune: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Jason Ma: 0.3%Fortune: 0.2%Middle Ground0.0%This article: 0.0%Jason Ma: 0.0%Fortune: 0.0%Personal Incredulity0.0%This article: 0.0%Jason Ma: 0.2%Fortune: 0.1%Special Pleading0.0%This article: 0.0%Jason Ma: 0.0%Fortune: 0.2%Genetic Fallacy0.0%This article: 4.7%Jason Ma: 3.1%Fortune: 1.5%Unattributed Quote4.7%This article: 0.0%Jason Ma: 2.1%Fortune: 1.3%Quote-first Misdirection0.0%This article: 21.0%Jason Ma: 6.6%Fortune: 4.4%Biased Writer Voice21.0%This article: 0.0%Jason Ma: 0.6%Fortune: 1.3%Indoctrination0.0%This article: 0.0%Jason Ma: 0.9%Fortune: 0.3%Politically Left Leaning Bias0.0%This article: 0.0%Jason Ma: 0.1%Fortune: 0.3%Politically Right Leaning Bias0.0%This article: 0.0%Jason Ma: 0.2%Fortune: 1.3%Attempt to Sell a Product or S…0.0%

666 words analyzed.

Speakers

5speakers52%attributed speech323writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 25 words • 100.0% coverageWriter's voice • 30 words • 0.0% coverageWriter's voice • 27 words • 0.0% coverageBofA • 29 words • 0.0% coverageBank of America • 21 words • 0.0% coverageWriter's voice • 22 words • 100.0% coverageWriter's voice • 24 words • 0.0% coverageBofA • 24 words • 0.0% coverageBofA • 26 words • 0.0% coverageBofA • 37 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 25 words • 100.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 35 words • 100.0% coverageCapital Economics • 35 words • 0.0% coverageWriter's voice • 22 words • 100.0% coverageJPMorgan • 15 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 26 words • 0.0% coverageJPMorgan • 52 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageEd Yardeni • 33 words • 100.0% coverageEd Yardeni • 12 words • 0.0% coverageEd Yardeni • 18 words • 0.0% coverageEd Yardeni • 21 words • 0.0% coverageEd Yardeni • 9 words • 100.0% coverageEd Yardeni • 11 words • 0.0% coverage
Selected voice

JPMorgan

100%flagged-word coverage
67 attributed words20% of attributed speech92% writer coverage
0%17.5%35.0%Biased Writer Voice-33.1 ptsWriter: 33.1%JPMorgan: 0.0%0.0%Unattributed Quote-6.8 ptsWriter: 6.8%JPMorgan: 0.0%0.0%

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

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Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.