Bitcoin ( BTC ) has slid 5% over the past 24 hours, falling below $67,000 and erasing yesterday’s gains as renewed institutional outflows and rising geopolitical tensions pressured the broader crypto market. However, our machine learning algorithm suggests that the ongoing decline is short-term, with the asset set to bounce back to some of the highest levels this year by the end of the month. Machine learning algorithm predicts Bitcoin price To be more precise, Finbold’s AI prediction agent combined inputs from ChatGPT , Grok, and Gemini artificial intelligence ( AI ) models to generate a more objective price target for the flagship crypto. In the end, it was projected that Bitcoin would climb back to $74,671, implying a 6.82% rally from the current levels that would send the cryptocurrency back to where it roughly was at the beginning of February. Bitcoin price prediction. Source: Finbold All three large language models (LLMs) were positive that ‘digital gold’ was only suffering from a minor setback. Gemini gave the boldest figure, forecasting a price of $76,500 (+9.44%). Grok and ChatGPT, on the other hand, set their targets at $74,012 (+5.88%) and $73,000 (+5.14%), respectively. The bullishness can be compared to that exhibited by DeepSeek , which argues that Bitcoin is going to continue climbing in 2026 , albeit without regaining its all-time high. LLMs predict Bitcoin price. Source: Finbold Bitcoin price outlook As mentioned, Bitcoin experienced another correction due to outflows and rising geopolitical tensions. Indeed, after a three-day streak of inflows totaling over $1 billion, the funds recorded net outflows of about $228 million on March 5. As a result, a significant source of buying pressure that had helped support Bitcoin’s recent price stability was gone. Escalating tensions between the U.S. and Iran also pushed global oil prices higher, to one-year highs, stoking renewed inflation concerns. All of this led to investors shift toward more traditional safe-haven assets compared crypto. At the same time, a large $2.2 billion Bitcoin options expiry introduced further short-term volatility as market participants hedged positions around a “max pain” level near $69,000. Technically, Bitcoin again faces strong resistance near $71,500. On the downside, analysts are closely watching the $68,000–$68,500 support zone, which aligns with the recent trading range low and the 38.2% Fibonacci retracement of the current rally. In the near term, though, the combination of ETF outflows and macro headwinds has tilted momentum to the downside. Featured image via Shutterstock The post Machine learning algorithm sets Bitcoin price for March 31, 2026 appeared first on Finbold .
