SMCI climbs over 4% after upbeat preliminary earnings update and AI infrastructure event

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Super micro surges 4.01% today

Highlights

Supermicro reported a record order backlog exceeding $60 billion and raised its gross margin targets to 15 to 17%.
The company unveiled a new AI-assisted software development solution with AMD and Spectro Cloud, expanding its AI infrastructure offerings.
Supermicro stock trades above short-term averages with buyers dominating intraday momentum, but faces resistance at $30.8 and an expected price range of $28.54 to $32.94 over the next week.

Order surge and margin boost drive optimism before earnings event

Supermicro reported a record order backlog above $60 billion and increased its gross margin guidance to 15–17% in a preliminary update before its scheduled fiscal fourth-quarter earnings on August 11. The company also announced the launch of its seventh annual Open Storage Summit, a virtual event focused on AI infrastructure, and introduced a turnkey AI-assisted software development solution in partnership with AMD and Spectro Cloud. These updates highlight ongoing developments in Supermicro's core business ahead of the earnings date.

Anton Kharitonov, expert at Traders Union, views SMCI's recent rally as fragile given underlying technical and sentiment factors. He notes the stock failed to reclaim its 50-day and 200-day moving averages despite strong backlog headlines. Short-term buyer interest is apparent, but momentum is mixed and overbought readings warn of exhaustion. The updated gross margin forecast supports some optimism, yet price remains at risk if support at $29.7 gives way. "Traders should approach SMCI cautiously until sustained confirmation above $30.8 signals genuine trend reversal," Kharitonov advises.

Viktoras Karapetjanc, expert at Traders Union, sees SMCI's record backlog and margin guidance as a clear signal of ongoing operational strength. He highlights the strategic expansion in AI infrastructure partnerships as a key catalyst for further growth. Karapetjanc believes the bullish structure remains intact, with upside potential if resistance at $30.8 is breached. "With robust fundamentals in place, I expect the stock to deliver new setups for long-side traders," he says.

Parshwa Turakhiya, analyst, notes SMCI's interplay between short-term accumulation and longer-term technical resistance. He observes neutral momentum indicators alongside a slight Buy bias in RSI and CCI, creating scenario-driven setups. Turakhiya sees opportunities in trading the defined volatility band as news-driven sentiment sways price action. "In this zone, nimble traders can exploit swings as the market reacts to fresh developments," he comments.

Short-term buying momentum persists as multiple signals flash mixed trend

Supermicro is trading above its 20-day moving average at $28.04 but remains below both the 50-day ($31.98) and 200-day ($32.31) moving averages, reflecting short-term strength yet ongoing medium- and long-term pressure from sellers. The immediate trading range is marked by support at $29.7 and resistance at $30.8, while the Ichimoku Kijun at $28.18 underscores the broader context from below. Momentum readings are mixed: MACD and ADX suggest neutral momentum, with RSI at 51.11 flagged for a Buy bias. The CCI also indicates Buy, but Stochastic RSI points to neutral conditions. Bull/Bear Power shows that buyers dominate intraday, though the overbought signal signals possible exhaustion. The Awesome Oscillator remains neutral, and the stock is near its session high with volatility at 3.70%.

Earlier, analysts noted that Supermicro was in a consolidation phase with technical momentum gradually strengthening amid recent AI infrastructure product developments, while event-driven risk remained elevated ahead of earnings. The latest backlog and margin updates reinforce the company's evolving fundamentals, making the $29.7 support level a critical inflection point to gauge whether the stock can sustain its recent gains or resume medium-term pressure.

Source of Data: SMCI 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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