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Home Crypto News & Analysis Market Overview & Trends

Microsoft’s Copilot AI predicts Bitcoin price for end of 2024

by Daniel Kim
January 17, 2024
in Market Overview & Trends
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Microsoft’s Copilot AI predicts Bitcoin price for end of 2024
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Featured image via Mojahid Mottakin/Shutterstock.com

Last year, and especially in its last quarter, Bitcoin (BTC) – along with much of the crypto market – underwent a significant boom, going from around $16,000 in January 2023 to as high as $44,000 in December 2023 rose.

However, the beginning of this year was characterized by optimism, uncertainty and volatility. At press time, the world’s leading cryptocurrency has gained 0.62% in the last 24 hours to the price of $42,875.

BTC 1-year price chart. Source: Finbold

Bitcoin’s initial moves were initially driven by widespread expectations and speculation about the likely SEC approval of mock Bitcoin exchange-traded funds (ETFs), and the cryptocurrency only became more volatile in the wake of the January 10 ETF approvals, with BTC climbed above $48,000. month before significantly withdrawn.

What’s more, in three months, another event is likely to have a major impact on the digital asset’s price – the Bitcoin halving.

With these hopes, fears and uncertainties in mind, and with Microsoft (NASDAQ: MSFT ) recently releasing its artificial intelligence (AI) platform – Copilot – based on OpenAI’s ChatGPT 4 model – Finbold decided to use the large language model (LLM) to ask where BTC might find itself at the end of 2024.

Three versions, one methodology

While other AI platforms also offer their users a choice of different models and plugins, Microsoft’s Copilot is modular and allows for three distinct conversational tones – Balanced, Accurate and Creative.

Copilot’s three conversational styles. Source: Copilot

With this in mind, Finbold decided to give the same set of directions to each of the “tones” and see how their estimates might differ. Initially, the AI ​​was given the broad framework of the conversation – a hypothetical scenario intended to result in a credible estimate.

Set the scene for the conversation. Source: Finbold and Copilot

The decision to preempt the conversation with the disclaimer that there is an understanding that the scenario is highly speculative is largely driven by experiences with ChatGPT – a platform very afraid to speculate on prices unless in no uncertain terms terms is said to have an understanding that in fact it cannot reliably see the future.

The second and main assignment was intended to explain the task in detail. Limiting the range to a maximum of $3,000 is the result of past experience as – in the wildest case within memory – another AI platform estimated that Bitcoin would be worth between $9,000 and $250,000 in a few months .

The main assignment. Source: Finbold and Copilot

Copilot estimates Bitcoin price at the end of 2024

Copilot’s balanced and creative modes offered the exact same price range as a likely place Bitcoin could find itself at the end of 2024 – between $60,000 and $63,000. The main difference, it turns out, was in their justification for the estimated range.

Creative Copilot’s estimated price range. Source: Finbold and Copilot

Creative Copilot briefly touched on several important points – the AI ​​said that the halving would likely push prices higher and that the ETF approvals would increase interest, exposure and liquidity. It also pointed to Ethereum 2.0 as a major competitor to Bitcoin and explained that it sees a gradual normalization of monetary policy as a stabilizing factor.

Creative Copilot’s justification for price range estimate. Source: Finbold and Copilot

The Balanced Copilot was significantly more focused on the math around the halving. For example, it explained that, based on historical data, it expects post-halving Bitcoin to rise to 1.5 of its previous high – to reach $97,295 – but added that it believes it is safe to assume that ‘ a correction of between 33% and 41% leading to its estimated range of $60,000-$63,000.

Balanced Copilot’s justification for the estimated price range. Source: Finbold and Copilot

As its name would suggest, the Precise Copilot was considerably more reluctant to speculate and landed at a very conservative estimated year-end price range – between $45,000 and $48,000.

Exact Copilot’s estimated price range. Source: Finbold and Copilot

This “tone” also offered little explanation for the estimate, other than assuming a continuation of trends and factors it previously explained — the greater exposure the ETFs provide, the likely impact of the halving, the move to a somewhat clearer regulatory framework, and broad economic factors.

Disclaimer: The content on this website should not be considered investment advice. Investing is speculative. When you invest, your capital is at risk.

Disclaimer for Uncirculars, with a Touch of Personality:

While we love diving into the exciting world of crypto here at Uncirculars, remember that this post, and all our content, is purely for your information and exploration. Think of it as your crypto compass, pointing you in the right direction to do your own research and make informed decisions.

No legal, tax, investment, or financial advice should be inferred from these pixels. We’re not fortune tellers or stockbrokers, just passionate crypto enthusiasts sharing our knowledge.

And just like that rollercoaster ride in your favorite DeFi protocol, past performance isn’t a guarantee of future thrills. The value of crypto assets can be as unpredictable as a moon landing, so buckle up and do your due diligence before taking the plunge.

Ultimately, any crypto adventure you embark on is yours alone. We’re just happy to be your crypto companion, cheering you on from the sidelines (and maybe sharing some snacks along the way). So research, explore, and remember, with a little knowledge and a lot of curiosity, you can navigate the crypto cosmos like a pro!

UnCirculars – Cutting through the noise, delivering unbiased crypto news

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Daniel Kim

Daniel Kim

Complex concepts lose their intimidating edge when spun into captivating narratives. Daniel's talent for clear storytelling transforms dry data and technical jargon into engaging content that keeps you informed and entertained.

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