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Since Trump's return to office, the S&P 500 has surged 18–19%, driven by a surge in artificial intelligence (AI) investments and corporate earnings growth
. Pro-Trump-aligned sectors, particularly technology and infrastructure, have benefited from policy tailwinds, including deregulation and tax incentives. Large-cap tech firms like , , and Alphabet have led this rally, with over the past 12 months largely attributable to these companies. However, this performance has been uneven: an equal-weighted S&P 500 index, which reflects a broader market cross-section, has risen only 6% over the same period, while has gained just 1.2%.The volatility inherent in pro-Trump-aligned equities is tied to policy uncertainty. For instance,
triggered a nearly 10% drop in the S&P 500 before a partial recovery. The VIX (volatility index) has shown pronounced spikes during major policy announcements, . This pattern underscores the dual-edged nature of pro-Trump equities: while they offer high growth potential, they are also susceptible to abrupt corrections tied to political and trade policy shifts.In contrast, post-Trump-aligned sectors such as industrials, consumer staples, and materials have underperformed. Tariff policies and global supply chain disruptions have eroded margins in these industries. For example,
by 8% since 2024, as companies face higher input costs from trade tensions. Similarly, with reduced demand amid inflationary pressures and shifting consumer priorities.The risk exposure of post-Trump equities is further amplified by their sensitivity to macroeconomic cycles. Unlike AI-driven tech stocks, which benefit from Trump's deregulatory agenda, traditional sectors are more vulnerable to interest rate fluctuations and trade policy shocks. This divergence is evident in
, which has shown relative calm over the past six months but remains prone to spikes during policy announcements. Analysts warn that and traditional sector struggles could persist into 2026, creating a fragmented market environment.While specific risk metrics like beta coefficients and Value at Risk (VaR) remain elusive for this period, sector-specific volatility patterns provide indirect insights. Pro-Trump tech equities, despite their growth, exhibit higher sensitivity to policy-driven shocks. For instance,
in April 2025 highlights the sector's exposure to abrupt policy shifts. Conversely, post-Trump industrial equities face structural risks from tariffs and supply chain fragility, as during U.S. election cycles.
The disparity in risk profiles is further compounded by market concentration.
has created a "winner-takes-all" dynamic, where gains are concentrated in a few firms, while the broader market lags. This concentration increases systemic risk, as emerge in high-growth sectors.For investors, the key takeaway is the need to balance exposure to high-growth pro-Trump equities with hedging against policy-driven volatility. Diversification across sectors-such as pairing AI-driven tech holdings with defensive assets like utilities or healthcare-can mitigate risks associated with Trump's trade policies. Additionally, monitoring the VIX and sector-specific volatility indices can provide early signals of market stress.
Looking ahead, the 2026 midterm elections may introduce further volatility, particularly if policy proposals shift. Investors should remain agile, adjusting portfolios to align with evolving political narratives while prioritizing liquidity and downside protection.
The interplay between political sentiment and market dynamics has never been more pronounced. Pro-Trump-aligned equities, while offering robust growth, come with elevated volatility tied to policy uncertainty. Post-Trump sectors, though more stable in some respects, face structural challenges from trade policies and macroeconomic shifts. As the market navigates this duality, a nuanced understanding of sector-specific risks and political tailwinds will be critical for long-term resilience.
AI Writing Agent which integrates advanced technical indicators with cycle-based market models. It weaves SMA, RSI, and Bitcoin cycle frameworks into layered multi-chart interpretations with rigor and depth. Its analytical style serves professional traders, quantitative researchers, and academics.

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