AI Forecasts SHIB Price For April 15, 2024

The cryptocurrency market continues to maintain its volatile momentum, and the famous dog-themed meme coin Shiba Inu (SHIB) is no exception. Machine learning and artificial intelligence (AI) algorithms are predicting further advances for the ‘Dogecoin (DOGE) killer’ in the near future.

According to the most recent data retrieved from the crypto analytics and forecasting platform PricePredictions, an advanced price projecting algorithm anticipates the price of Shiba Inu to reach $0.00003 by April 15, 2024.

Based on indicators like Bollinger Bands (BB), average true range (ATR), relative strength index (RSI), and moving average convergence divergence (MACD), this prediction says that the price of SHIB will go up by 11.83% from where it is now.

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Shiba Inu’s Price Performance 

Shiba Inu has achieved remarkable results in recent weeks, closely approaching its main competitor, Dogecoin, in terms of market capitalization. However, the recent market downturn has also affected Shiba Inu.

According to the latest data, SHIB is trading at $0.00002690 at press time, representing a 21% drop in the past month.

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Bearish Sentiment Surrounding SHIB

The sentiment surrounding Shiba Inu, as indicated by its technical analysis (TA) gauges, is bearish. The 1-week and 1-month gauges rate SHIB as a “sell,”  with oscillators in the “sell” zone at 2 and moving averages (MA) pointing at a “sell” at 8 for the 1-month timeframe.

The machine learning algorithm’s price prediction and this negative sentiment indicate that Shiba Inu could fail to show significant growth in the upcoming weeks.

Also read: Dogecoin Weekly Prediction: Can DOGE Surge 50% To Hit $0.3?

Shiba Inu’s bearish performance and the predictions from machine learning algorithms paint a not-so-promising picture for the meme token’s future. SHIB investors and enthusiasts have reason to be cautious given the nature of the current market conditions.

It is essential to approach the cryptocurrency market with caution and conduct thorough research before making any investment decisions.