Despite some spikes in volatility, Bitcoin (BTC) has managed to stay above water this month and is up over 4% at the time of writing.
However, despite increased investment appetite from institutional investors, all uncertainties regarding the current geopolitical situation continue to cloud the near-term outlook for assets.
Bitcoin is also trading within a narrow range, with its 30-day simple moving average (SMA) hovering between $68,857 and 7-day SMA $72,130, with momentum indicators remaining neutral.
This uncertainty is similarly reflected in where leading large-scale language models (LLMs) see cryptocurrencies landing by the end of the month.
AI predicts Bitcoin price on April 1, 2026
For example, Finbold’s AI prediction agent, which combines output from Gemini 3 Flash, ChatGPT 5.2, and Grok 4.1, predicts an average BTC price of $72,565 on April 1, 2026, suggesting an upside of just 2.54% from the current price of $70,769.
However, when comparing individual algorithms, the results take on another dimension.
So while OpenAI and xAI’s chatbots are bullish and predict Bitcoin prices will rise by 2.66% and 8.1% respectively, Google’s chatbot has a completely different idea.
So, analysis by Gemini suggests that traders should prepare for a slightly lower price of $68,546, which would imply a downside of 3.14%.
In other words, Bitcoin’s average target price for April 1, 2026 is the result of three fairly different views on the asset trading between below its 30-day SMA and its highest since early February.
Bitcoin price outlook
Current price trends suggest that Bitcoin is trading above key medium-term averages as the crypto market cap reflects a slowdown in activity (up just 0.08%). However, a daily close above the 7-day SMA of $72,130 would likely indicate a return to short-term bullish momentum.
In the short term, Bitcoin’s trajectory will also depend on whether it can sustain support at the $70,856 Fibonacci level. If strength persists above this, the 7-day SMA resistance level at $72,130 may be considered. However, on the downside, a break below the 30-day SMA of $68,857 could deepen the decline.
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