IBM stock plunges as Q2 2026 revenue warning triggers sharp selloff: weekly outlook

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IBM drops 23.55% this week

Highlights

IBM is experiencing strong medium-term bearish momentum, trading well below key moving averages after a sharp 23.55% weekly decline.
Momentum indicators remain decisively negative as the price holds key long-term support, with sellers dominating despite short-lived buyer attempts.
IBM is projected to trade between $209 and $231 in the coming week with a bias towards further declines unless $231 is decisively breached.

Profit warning heightens scrutiny as AI shift alters IBM outlook

IBM experienced a significant setback after issuing a preliminary warning that its second-quarter 2026 revenue and profit would be below Wall Street expectations. The company projected adjusted earnings per share of $2.93 and revenue of $17.2 billion, citing a shift in client spending toward infrastructure and hardware related to AI as the primary reason for the shortfall. This update also led to scrutiny from investors and potential legal investigations regarding IBM's previously projected growth metrics. Management pointed to delayed software deals and changing enterprise spending priorities as factors impacting margins.

Oversold signals persist as IBM posts sustained weekly bearish structure

On the weekly chart, IBM is positioned decisively below both the MA-20 at $252.62 and MA-50 at $270.71, establishing a clear bearish structure, while the MA-200 at $203.95 acts as strong underlying support. Key weekly support is near $209, and resistance is found at $231, aligning with recent price action and volatility. The weekly RSI and Stochastic RSI both signal oversold conditions, suggesting that sellers have dominated the market, whereas the MACD remains firmly negative and the ADX at 18.39 indicates trend weakness. The Commodity Channel Index stands neutral, and Bull/Bear Power shows a slight overbought reading, pointing to minor buyer activity amid persistent weekly declines.

Rangebound price action likely as technicals reinforce downside bias

Over the next 5 trading days, IBM is expected to stay within a broad corridor between $209 and $231 in line with historical volatility and current price structure. Technical indicators provide a firmly bearish outlook, with less than a 20% probability of an upside move as confirmed by all major W1 signals. The baseline scenario is for continued sideways or modestly lower movement in this range, with any push above $231 potentially leading to a short-term rally toward the MA-20, while a decisive breakdown below $209 could quickly bring the MA-200 support near $203.95 into play.

Viktoras Karapetjanc, expert at Traders Union, sees the past week as a crucial reset for IBM, with the stock facing intense pressure after its revenue warning but still retaining strong long-term support. He notes that although negative sentiment and volatility dominated, the company’s focus on AI-related infrastructure points to a promising shift in client priorities, which could drive future growth once current headwinds ease. Karapetjanc believes the decisive move below key weekly averages reflects immediate bearish momentum, yet the presence of oversold signals and major support at $203.95 creates tactical opportunities for vigilant investors. The analyst expects IBM to consolidate within the $209–$231 corridor, watching for any catalyst that could spark a rebound. "This week’s volatility has shaken out weak hands, so I see the setup as appealing for medium-term investors who are prepared to scale in near support levels as the long-term bullish structure remains intact."

Previously it was reported that IBM's weaker-than-expected earnings outlook and heightened volatility led analysts to warn of sustained downside risk for the stock. The current technical and fundamental landscape reaffirms this negative bias, with particular focus on whether IBM can maintain support above $209 to prevent a deeper slide toward its long-term moving average.

Source of Data: IBM Price Analysis by TU

The analysis is based on a proprietary model combining technical, on-chain, and expert data. Not investment advice. See methodology

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