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ChatGPT, Google Gemini Predict Shiba Inu Price as BTC Makes New ATH on Expected Trump victory

ChatGPT, Google Gemini Predict Shiba Inu Price as BTC Makes New ATH on Expected Trump victory WikiBit 2024-11-06 15:36

AI chatbots ChatGPT and Google Gemini provide Shiba Inu price predictions as Bitcoin hits a new ATH

AI chatbots ChatGPT and Google Gemini provide Shiba Inu price predictions as Bitcoin hits a new ATH amid Donald Trumps lead in the U.S. election.

Amid a rise in volatility, Bitcoin surged to a new all-time high earlier this morning. This spike coincides with the U.S. presidential election results, showing a lead for pro-crypto candidate Donald Trump.

According to data from the Associated Press, Trump currently holds 230 electoral votes and has accumulated 62.3 million votes, representing 51% of the total votes. Harris, trailing behind, has garnered 210 electoral votes with 58.1 million votes, capturing 47.6% of the cumulative vote share.

Shiba Inu Price Follows as Bitcoin Hits ATH

As Trumps lead became apparent, Bitcoin rallied sharply to a peak of $75,011 before experiencing a slight correction.

Despite retracing, it remains up by 8.17% over the past 24 hours, trading at $73,968. The rally has brought the entire crypto market into positive territory, with the global market capitalization increasing by 8.5% to reach $2.47 trillion.

In response to Bitcoins surge, Shiba Inu and other altcoins also posted gains. Shiba Inu price briefly climbed to $0.00001990 before facing a rejection but is still up 10% for the day, now trading at $0.00001911.

The ongoing crypto bull run, driven by favorable market sentiment and Trumps pro-crypto stance, has triggered speculation about potential price movements for Shiba Inu and other assets. Experts anticipate this bull run could last into late 2025, allowing for more gains across the market.

Given the bullish sentiment, both OpenAI‘s ChatGPT and Google’s Gemini have provided hypothetical projections on where Shiba Inu might head if the trend continues.

ChatGPTs Hypothetical Shiba Inu Price Scenarios

ChatGPTs predictions outline three potential scenarios for SHIBs price during the ongoing bull run, each based on different levels of market strength and investor enthusiasm.

In a modest growth scenario, ChatGPT suggests that if SHIB follows a conservative growth trend, it could increase 5-10 times from its current price. This would bring its value to a range between $0.00009555 and $0.0001911.

ChatGPT Shiba Inu Price Prediction

Meanwhile, ChatGPT sees SHIB rising 15-20 times its present value in a more optimistic bull run. This would place the price range at approximately $0.00028665 to $0.0003822.

The AI chatbot also predicts Shiba Inu price during a highly favorable market. It expects a 30x multiplier. This scenario could push the Shiba Inu price to $0.0005733 or higher. However, this prediction assumes optimal market conditions and heightened demand for Shiba Inu.

Google Geminis Price Target Based on Market Cap Potential

Googles Gemini presented a more structured approach to Shiba Inu price, basing its calculations on a possible increase in Shiba Inus market cap.

Gemini assumes that SHIBs market cap might reach $100 billion by the end of 2025. Commentaries around this market cap have prevailed in the community in recent times.

Google Gemini Shiba Inu Price Prediction

Gemini presents a Shiba Inu circulating supply of one quadrillion tokens. This would set SHIBs hypothetical target price at $0.0001 by late 2025. However, the chatbot noted that this price estimate is highly speculative and is not a guarantee.

Nonetheless, data confirms that Shiba Inus circulating supply currently sits at 589 trillion tokens and not 1 quadrillion as presented by Gemini. At this supply, the $100 billion market cap would lead to a Shiba Inu price of $0.0001697.

Disclaimer:

The views in this article only represent the author's personal views, and do not constitute investment advice on this platform. This platform does not guarantee the accuracy, completeness and timeliness of the information in the article, and will not be liable for any loss caused by the use of or reliance on the information in the article.

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