AI Panel · What AI agents think about this news
G Gemini by Google NEUTRAL
C Claude by Anthropic BEARISH
G Grok by xAI NEUTRAL
C ChatGPT by OpenAI BEARISH

Despite the historical post-midterm pattern, the panel consensus is bearish due to elevated valuations, concentration in AI-exposed names, and uncertainty around earnings growth and regulatory risks. The liquidity tailwind from potential Fed easing is seen as a temporary catalyst rather than a sustainable driver of market performance.

Risk: Earnings disappointment or regulatory tightening for AI leaders, which could compress multiples and cap upside even with Fed easing.

Opportunity: A near-term bounce due to September-October seasonality, but this is seen as a limited opportunity rather than a sustainable rally.

Read AI Discussion ↓

This analysis is generated by the StockScreener pipeline — four leading LLMs (Claude, GPT, Gemini, Grok) receive identical prompts with built-in anti-hallucination guards. Read methodology →

Full Article Nasdaq

Key Points

  • Investing in stocks in the third year of an election cycle has proven to be a great bet.
  • The market has historically staged strong rallies from October through December.
  • 10 stocks we like better than S&P 500 Index ›

One of the best predictors of stock market performance over the past nearly …

Read more

Key Points

  • Investing in stocks in the third year of an election cycle has proven to be a great bet.
  • The market has historically staged strong rallies from October through December.
  • 10 stocks we like better than S&P 500 Index ›

One of the best predictors of stock market performance over the past nearly 90 years isn't some fancy valuation metric, like the Shiller cyclically adjusted price-to-earnings (CAPE) ratio or Buffett indicator. Nor is it some complex macroeconomic forecast or interest rate model. It's actually the midterm elections.

According to research by Fidelity, the S&P 500 (SNPINDEX: ^GSPC) has had a positive performance one year after the midterm elections 95% of the time since 1938. The best thing is that it hasn't mattered which party wins, or whether the incumbents or challengers take more seats. The reason for this appears to be that the political uncertainty heading into the election fades after the votes are tallied.

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The market tends to dislike uncertainty and has generally taken a shoot-now-ask-questions-later mentality to major events. As such, it does make sense that once some of the uncertainty is lifted, stocks tend to outperform. In fact, not only have stocks gone up 95% of the time following midterm elections from November to November, but this is also historically the best year of returns in the election cycle. Since 1950, stocks have generated an average annual return of 14.5% during year three of a presidential cycle, which comes after the midterm elections.

Ironically, the next-best period since 1950 is year four, with a 9.1% average annual return and a 72% chance the market goes up. However, year four is also the most unpredictable year, with the S&P 500 experiencing both large gains and losses.

Year two of the cycle, meanwhile, tends to be the worst year for stocks, with an average return of 4.9% and only a 55% chance of a 12-month positive return since 1950. The September right ahead of the midterms tends to be a particularly tough stretch. According to Cantor Fitzgerald, the market has dropped in September by 5% or more in 15 of the past 24 midterm election years since 1930.

However, Carson Group has noted that since 1950, October and November have been the best months for stocks during midterm election years, up 3% and 2.7%, respectively. UBS, meanwhile, has noted that during midterm election years, the market has rallied about 6% from the end of September through year-end.

How should investors prepare?

First, it would be foolish not to note that past patterns and historical performance are no guarantee of future outcomes. While a pattern clearly exists, from a statistical standpoint, the sample size would still be considered very small.

That said, given this pattern and the current bull market, I think investors need to be invested. There has been a lot of talk this year about an AI bubble and a potential market crash, but this is not a time to sit on the sidelines. Yes, some valuation metrics like the CAPE ratio and Buffett indicator suggest that the S&P 500's market valuation is high, but the index's makeup is very different today than in the past.

Gone are the days when the index was led by cyclical industrials, energy companies, and financials. Today, the S&P is dominated by large tech companies with less cyclical businesses, huge operating cash flow generation, great balance sheets, and strong growth prospects. Meanwhile, artificial intelligence (AI) has also changed the game, and the innovation curve is only getting steeper, meaning new technologies are being developed much more quickly than in the past. Unlike past tech innovation cycles, like PCs, the internet, and smartphones, AI growth is also not bound by human usage -- it's essentially limitless.

As such, I'd be investing in some top exchange-traded funds (ETFs), like the Vanguard S&P 500 ETF (NYSEMKT: VOO) and Invesco QQQ Trust (NASDAQ: QQQ), which tracks the tech-heavy Nasdaq-100 index. These are quick and easy ways to invest, and both can be used as solid core holdings. Investors can then supplement those core holdings with some attractive growth stocks.

With September coming to a close, now is the time to jump into the market.

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AI Talk Show

Four leading AI models discuss this article

Opening Takes

G Gemini by Google NEUTRAL

“Historical election cycle seasonality is a secondary indicator that is currently being overwhelmed by macro-monetary policy and extreme valuation compression risks.”

The election cycle thesis is a classic 'data mining' trap. While the 95% win rate for the year post-midterm is statistically seductive, it ignores the current regime of extreme valuation concentration. We are currently trading at a forward P/E of roughly 21x for the S&P 500, significantly above the 10-year average. This historical pattern relies on mean reversion and liquidity cycles that may not hold when the Fed is grappling with sticky core inflation and a cooling labor market. Relying on political calendar seasonality while ignoring the 'higher-for-longer' interest rate reality is a recipe for being blindsided by volatility.

Devil's Advocate

The 'this time is different' argument is often the most expensive phrase in finance; if the AI productivity boom actually drives double-digit margin expansion, current multiples are not just justified, but cheap.

broad market
C Claude by Anthropic BEARISH

“A 95% accuracy claim based on ~21 data points is statistical noise masquerading as signal, and the article's dismissal of valuation concerns via 'tech is different' echoes the exact reasoning that preceded the 2000 crash.”

The article conflates correlation with causation and suffers from severe survivorship bias. Yes, the S&P 500 rose 95% of the time post-midterm since 1938—but that's largely because the market has risen ~70% of all rolling 12-month periods in that era. The sample size (roughly 21 midterm cycles) is statistically laughable for a 95% claim. More damning: the article ignores that 2024 is NOT a typical post-midterm year—we're 14 months past the 2022 midterms, not one year. The 'political uncertainty fades' thesis also misses that policy uncertainty often *increases* post-election when winners implement agendas. Finally, the author dismisses valuation concerns (CAPE, Buffett indicator) by arguing 'tech is different now'—the exact argument made in 1999.

Devil's Advocate

If the pattern holds even 70% of the time (not 95%), and we're in a genuine AI-driven productivity cycle with mega-cap tech generating real cash flow, the risk/reward into year-end could still favor equities despite stretched valuations.

broad market (S&P 500, QQQ)
G Grok by xAI NEUTRAL

“The 95% accuracy rests on roughly 21 elections and ignores today's unprecedented mega-cap concentration and valuation levels.”

The article leans on a 95% win rate for the S&P 500 in the year after midterms since 1938, yet the sample is only about 21 observations. Current conditions diverge sharply: the index trades at elevated multiples driven by a handful of AI-exposed names whose growth is no longer bounded by historical cycles. September-October seasonality may still produce a near-term bounce, but year-three outperformance has coincided with far lower starting valuations and less sector concentration. Investors treating this as a green light risk ignoring how quickly policy or earnings disappointments can override calendar effects in a concentrated market.

Devil's Advocate

Even with a small sample, the pattern has held across wildly different macro regimes, and the post-election uncertainty reduction could still trigger inflows regardless of today's valuations.

broad market
C ChatGPT by OpenAI BEARISH

“Valuations are stretched and the midterm-pattern is not predictive in a regime of higher rates and AI-driven hype; the next 12-18 months risk more downside than upside.”

The piece highlights a long-standing midterm-year pattern as a rally prop, but that reading risks pattern-chasing with little forward guidance. The data window covers eras of different monetary regimes and a tech cycle that’s vastly more dominant today, so historical odds may have limited forecasting power. Valuations remain elevated (CAPE and forward P/E for the market’s AI-driven leaders), and policy risk remains in flux as inflation data and rates evolve. The AI narrative is a tailwind that could fade or reverse if margins compress or regulators tighten. A year-three rally could happen, but the downside risk from earnings disappointment or regime shifts is non-negligible.

Devil's Advocate

Pattern-based bets have persisted because they survived many cycles, but that doesn’t prove they will again. If rate paths surprise to the upside and AI enthusiasm cools, the trio of stretched multiples, concentration risk, and earnings fragility could produce sharper losses than gains.

broad market

The Debate

G
Gemini BULLISH

Responding to Claude

Disagrees with: GeminiGrokChatGPT

“The market rally is driven by monetary liquidity cycles and Fed policy shifts rather than historical election-year seasonality.”

Claude is right to dismiss the 95% win rate as statistical noise, but everyone is ignoring the liquidity tailwind. Regardless of the election, the Fed’s pivot toward easing—specifically the transition from quantitative tightening to potential balance sheet normalization—is the real catalyst. We are mislabeling a liquidity-driven liquidity-chase as a 'post-midterm' phenomenon. If the Fed cuts rates while the Treasury increases liquidity, valuations stay stretched regardless of earnings, rendering your margin analysis secondary to pure monetary flows.

C
Claude BEARISH

Responding to Gemini

Disagrees with: Gemini

“Liquidity is necessary but not sufficient—earnings delivery is the real constraint on valuations from here.”

Gemini's liquidity pivot is the real story, but it's incomplete. Fed easing + Treasury issuance doesn't automatically sustain 21x multiples if earnings disappoint. We're conflating two separate mechanisms: monetary accommodation (which supports valuations) and earnings growth (which justifies them). If AI productivity fails to materialize and Q3/Q4 guidance disappoints, liquidity alone won't prevent multiple compression. The Fed can't print earnings. That's the tail risk everyone's dancing around.

G
Grok BEARISH

Responding to Claude

Disagrees with: Gemini

“Liquidity from Fed easing will not prevent multiple compression if concentrated AI names disappoint on earnings.”

Claude correctly notes that monetary easing cannot manufacture earnings growth, yet this underplays how concentration in AI leaders amplifies any guidance shortfall. If mega-cap tech misses amid Fed cuts, liquidity may rotate into defensives rather than lift the broad index, capping upside even as rates ease. The post-midterm pattern assumes uniform participation that today's narrow leadership precludes.

C
ChatGPT BEARISH

Responding to Gemini

Disagrees with: Gemini

“Liquidity is a tailwind, not a substitute for durable earnings; multiples can re-rate on earnings and policy, not money flow alone.”

Gemini's liquidity pivot as the real catalyst ignores the durability problem: liquidity can lift prices, not earnings. If AI-led earnings disappoint or regulators tighten, multiples can compress even amid easing. Concentration means a bad Q3/Q4 for mega-caps hits the index hard, and Treasury/issuance dynamics could crowd out equities. In short, liquidity is a tailwind, not a strategy; don't confuse money flow with sustainable value.

Panel Verdict

NEUTRAL Consensus Reached

Despite the historical post-midterm pattern, the panel consensus is bearish due to elevated valuations, concentration in AI-exposed names, and uncertainty around earnings growth and regulatory risks. The liquidity tailwind from potential Fed easing is seen as a temporary catalyst rather than a sustainable driver of market performance.

Opportunity

A near-term bounce due to September-October seasonality, but this is seen as a limited opportunity rather than a sustainable rally.

Risk

Earnings disappointment or regulatory tightening for AI leaders, which could compress multiples and cap upside even with Fed easing.

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This is not financial advice. Always do your own research.