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AI Stocks Under Pressure: What Retail Traders Should Watch as the Fed Decides Rates

U.S. stock markets are experiencing renewed volatility as artificial intelligence stocks face selling pressure, investors question rising data center costs and Wall Street prepares for a potential expansion of stock trading hours. On Market Movers, Johny Fernandez speaks with Stephen Kalayjian, Founder of SK Trading and Chief Market Strategist and Co-Founder of Ticker Tocker, about the recent Nasdaq selloff, opportunities for retail traders, Federal Reserve interest rate expectations and how technical analysis is evolving in the age of algorithmic trading.

Kalayjian examines the recent weakness across AI-related stocks, including Nvidia, Advanced Micro Devices, Micron and SanDisk. He explains why many semiconductor and technology stocks have become overextended following significant rallies and why a market correction may be a healthy development. With investors increasingly questioning the sustainability of AI infrastructure spending, particularly the financing of expensive data centers, Kalayjian shares his perspective on what could determine the next phase of the technology trade.

The conversation also explores how retail traders are navigating heightened market volatility. Kalayjian discusses why increased intraday price movements are creating trading opportunities across semiconductor stocks, technology shares and options markets. Drawing on more than four decades of trading experience, he explains how market corrections, institutional activity and shifting investor sentiment influence short term trading strategies.

Federal Reserve policy is another major focus as investors assess the outlook for interest rates, inflation and the broader economy. Kalayjian shares why he expects the Fed to hold rates steady at its upcoming meeting, while discussing the potential for future rate cuts as markets look toward 2027. He also examines the resilience of the S&P 500 and Nasdaq despite elevated borrowing costs, rising energy prices and persistent inflationary pressures.

The discussion examines how nearly round the clock stock trading could change the way investors participate in U.S. equity markets. With the New York Stock Exchange’s NYSE Arca platform and Nasdaq preparing for extended trading sessions, Kalayjian highlights why greater market accessibility could increase demand for technical analysis, real time market data and trading strategies capable of responding to price movements outside conventional trading hours.

Technical indicators and chart patterns take center stage as Kalayjian explains the trading methodology he has developed throughout his career. He discusses how tools such as MACD, ADX and DMI can help identify market trends, momentum changes and potential reversals. Emphasizing his belief that price action leads while technical indicators lag, Kalayjian explains how combining indicators across multiple timeframes can help traders recognize recurring patterns and identify potential trading opportunities.

Artificial intelligence and algorithmic trading are another important topic as retail investors increasingly experiment with automated strategies and AI-powered trading tools. Kalayjian explores how AI can accelerate strategy development, market analysis and testing, while cautioning against relying on automated models without sufficient validation. He explains why forward testing, access to reliable market data and an understanding of trading costs remain essential when evaluating algorithmic strategies.

Looking ahead, Kalayjian shares his perspective on how artificial intelligence could become more deeply integrated into retail trading over the coming months. He discusses why traders should approach new technologies carefully, diversify their strategies and continue developing their understanding of technical analysis rather than depending entirely on automated predictions.

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