Amazon stock price forecast: Upbeat earnings and AI deals as AMZN consolidates above $240

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Amazon up 0.32% today at $241.64

Highlights

Amazon's Q3 2025 earnings report surpassed expectations with Amazon Web Services delivering $33 billion in quarterly revenue.
Amazon announced a collaboration with German supplier Aumovio, deploying AWS AI and cloud for self-driving vehicles and Aurora’s driverless freight trucks.
At CES 2026, Amazon introduced the Alexa+ web platform and launched an updated Alexa app featuring new AI capabilities.

Earnings and AI partnerships as drivers of investor optimism

Amazon's recent Q3 2025 earnings report beat expectations on both revenue and earnings per share, with Amazon Web Services recording $33 billion in quarterly revenue. The company also announced a collaboration with German automotive supplier Aumovio to support deployment of self-driving vehicles using AWS’s AI and cloud, including work with Aurora’s driverless freight trucks. Additionally, Amazon introduced the Alexa+ web platform and unveiled an updated Alexa app with new AI features at CES 2026.

Overbought signals emerge as support holds and buyers dominate

Amazon’s price at $241.64 is trading well above the MA-20 ($229.98), MA-50 ($232.57), and MA-200 ($217.67), confirming bullish momentum across all key timeframes. The nearest dynamic support lies at the Ichimoku Kijun around $233.13, with resistance likely at the round $245 level after the latest surge. Momentum indicators reflect mostly bullish sentiment, as both MACD and RSI remain in ‘Buy’ territory, yet ADX on the daily shows a weak trend with a neutral reading. Overbought signals are triggered on the Stochastic RSI, Bull/Bear Power, and CCI, highlighting elevated short-term optimism and strong recent buyer pressure. The Awesome Oscillator supports the bullish tone, but stretched readings among oscillators warn of possible overheating. Today’s session shows a mild gap down at the open (from $240.87 to $240.17), a modest gain of 0.32%, and price movement near today’s upper end ($245.28). Volatility has been moderate, with clear strength pushing toward the session’s high despite some signals diverging on shorter timeframes.

Bullish bias remains strong as key resistance levels approach

For the next week, the expected trading range is $235 to $245, reflecting typical weekly volatility for a large-cap stock like Amazon. The probability of price increase remains very high (more than 80%), given consistent ‘Buy’ signals across Moving Average, MACD, and RSI on the weekly timeframe; downside risk is less likely. Baseline scenario: Amazon consolidates between $235 and $245. Bullish scenario: a firm break and close above $245 opens room for upward momentum extension. Bearish scenario: a reversal below the $233 support would encourage profit-taking and could trigger a pullback toward $230.

Viktoras Karapetjanc, expert at Traders Union, notes that Amazon’s bullish momentum is reinforced by positive earnings, key tech partnerships, and strong technicals above all major moving averages. He sees macro and sentiment factors supporting risk appetite, with AI initiatives and robust AWS growth adding conviction for further upside. The analyst believes short-term overbought signals point to elevated optimism, but fundamental drivers remain favorable for the week ahead. "I expect Amazon to consolidate near highs, and if $245 breaks, momentum could quickly build for further gains," Karapetjanc concludes.

Previously it was reported that Amazon.com, Inc. maintained a bullish technical structure, trading well above key moving averages and dynamic support levels, with momentum indicators such as MACD signaling a Buy despite overbought readings on Stochastic RSI and CCI. Near-term consolidation is expected within the $236–$247 range, with a high probability of further upside as support and resistance levels are closely watched following strong earnings and increased AI investment.

Source of Data: AMZN 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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