Bitcoin ( BTC ) surged nearly 5% early Monday, November 10, climbing back above $106,000 after briefly plunging below $100,000 last week. The uptick came as investors rushed to “buy the dip” following a weekend marked by mass liquidations and leveraged losses, helping the market recover $170 billion in total market cap. Bitcoin’s latest upswing also aligns with a broader rebound in risk assets after reports that U.S. lawmakers reached a bipartisan agreement to end the 40-day government shutdown and revive investor confidence. Adding to the upbeat sentiment, President Donald Trump unveiled a proposal to use tariff revenues to fund $2,000 dividend payments for Americans and partially cover health care costs. With government operations set to resume and new fiscal spending expected, investors are rotating back into risk assets, including crypto. As further price swings are now expected, Finbold turned to its AI prediction agent to set the Bitcoin price by the end of the month. Surprisingly, the forecast suggests that the ongoing rally is going to be short-lived, as the average projected Bitcoin price for November 30 came in at $101,833, implying a 3.84% downside from the current price of $105,956. BTC price forecast. Source: Finbold’s AI prediction agent AI suggests a mildly bearish Bitcoin outlook To establish its BTC price target, Finbold’s AI system aggregated analyses from three advanced large language models (LLMs): GPT-4o, Claude Sonnet 4, and Gemini 2.5 Flash. All three were decidedly bearish in their outlook. Gemini and GPT-4o delivered the most optimistic projection, expecting Bitcoin to drop to $103,500, representing only a 2.27% downside. In contrast, Claude Sonnet 4 predicted a dip to $98,500, or a 6.99% downside. The composite forecast indicates a mildly bearish consensus, signaling another potential correction phase in the coming weeks. Bitcoin price action Briefly climbing past $106,000, Bitcoin outperformed the broader crypto market’s 4% gain as macro liquidity, institutional inflows, and easing political tensions in the U.S. drove renewed optimism. The asset’s 24-hour trading volume also jumped nearly 50% to $70.61 billion, although it still remains some 30% below the 7-day average. From a technical perspective, the crypto broke through the $105,500 resistance (the key 61.8% Fibonacci retracement ), with its relative strength index ( RSI ) now at 45.48, suggesting room for further gains without entering overbought territory. This does not square with the machine learning algorithm predictions. What’s more, the moving average convergence divergence ( MACD ) histogram has also turned positive, reinforcing bullish momentum. Accordingly, a daily close above $107,600 would confirm a sustained breakout and potentially open the door for further gains. Featured image via Shutterstock The post Machine learning algorithm predicts Bitcoin price on November 30, 2025 appeared first on Finbold .
