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Artificial intelligence determined the price of Bitcoin on March 1

Artificial intelligence determined the price of Bitcoin on March 1

HappyCoinNews2025/02/18 18:22
By: HappyCoinNews
BTC-0.16%AIOLD0.00%XOLDTOKEN0.00%

Bitcoin (BTC) continues to consolidate in a tight trading range between $94,000 and $100,000, trying to establish a direction amid ongoing market uncertainty.

BTC is currently trading at $95,300 with a daily drawdown of 1,8%. The reason is that last week US spot bitcoin ETF recorded a net outflow of $430 million, indicating a decline in institutional demand and putting price pressure on BTC.

In this regard, an AI-based forecasting tool was tasked with predicting the price of Bitcoin by March 1, 2025. Taking into account technical indicators and market data, the AI ​​sees an average price of BTC of $96,256.

Bitcoin Price Prediction by Artificial Intelligence.

Other AI models disagree on the future value of Bitcoin. The most optimistic forecast, created by Claude 3.5 Sonnet, predicts a rise of more than 10%, which would mean Bitcoin testing $106,800 in the coming weeks.

GPT-4o Mini, on the other hand, presented a bearish scenario, predicting an 18% drop to $80,000, which could be caused by negative macroeconomic events or increased selling pressure.

According to technical analysis, BTC currently has resistance at $106,800 and support around $91,700.

Bitcoin Price Analysis. Source: CrypNuevo/X

BTC is trying to reclaim the $99,048 mid-level, which coincides with the 50-day exponential moving average (EMA), a key resistance zone that has already rejected several breakout attempts.

A break of this level, according to the CrypNuevo analyst, would confirm the bullish trend. At the same time, a break below $91 would strengthen the bearish forecast, increasing the chances of a potential fall to $764 and below.

EN @happycoinnews
EN @happycoinnews_en
Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.
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