Amazon Stock Price Prediction: Technical and W.D. Gann Analysis

Amazon stock has recently experienced a significant price movement, making it an interesting subject for traders and investors. In this article, we analyze the Amazon stock price prediction based on technical indicators and W.D. Gann analysis. Understanding the key support and resistance levels, along with historical price action, can help anticipate future market trends and make informed investment decisions.

Amazon Stock Price: Technical Analysis

  • Recent Low: $196 (25th Feb 2025), strong bounce in the next two sessions.
  • Current Price: $208
  • Key Moving Averages:
    • 50-day SMA: $218
    • 200-day SMA: $186
  • Momentum Indicators:
    • RSI (14): Dropped below 30 on 25th Feb (Oversold)
    • Stochastic (14): Fell below 10 on 25th Feb (Oversold)
  • Upside Target: Stock has the potential to reach $240.

Based on technical indicators, Amazon stock price prediction suggests that the stock is rebounding strongly from oversold conditions. The 50-day SMA at $218 serves as the immediate resistance, while the 200-day SMA at $186 acts as long-term support.

Amazon Stock Price Prediction

W.D. Gann Analysis for Amazon Stock Price

Support & Resistance Levels (Gann Square):
  • Resistance Levels: $249, $241, $233, $225, $218, $211
  • Support Levels: $204, $197, $190, $183, $176, $169
Gann Key Dates for Potential Highs/Lows:
  • March 2025: 13th, 20th, 24th, 29th
  • April 2025: 7th, 14th
Gann Pressure Weeks:
  • March 2025: 24th
  • April 2025: 7th
  • June 2025: 9th
Gann Pressure Months:
  • May 2025
  • August 2025
  • March 2026

Conclusion: What to Expect for Amazon Stock Price Prediction?

The Amazon stock price prediction indicates strong bullish momentum after bouncing from $196. If the stock surpasses the critical resistance at $218, it could potentially rally toward $240. However, upcoming Gann pressure dates should be closely monitored for possible trend reversals. Investors and traders should align their strategies based on these key levels and time cycles to maximize potential gains.

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