Crypto traders are closely watching prediction market data after reports surfaced claiming the same betting models that accurately forecast Donald Trump’s election victory are now leaning bearish on Bitcoin’s year-end performance. According to market discussions circulating online, prediction platforms are assigning higher odds to Bitcoin ending the year below its opening price rather than reaching new all-time highs. The development surprised many investors who expected pro-crypto political momentum and institutional adoption to fuel continued upside for the digital asset. The conversation intensified after betting data suggested there is a stronger probability of Bitcoin revisiting lower price levels, including scenarios where the asset touches $60,000 before reclaiming the $100,000 mark. The figures quickly spread across social media, sparking renewed debate between bullish and bearish traders. Supporters of Bitcoin argue that prediction markets should not be treated as guarantees, noting that sentiment can shift rapidly due to macroeconomic events, Federal Reserve decisions, ETF flows, or geopolitical developments. They also point to growing institutional interest and long-term adoption trends as reasons for optimism. Bearish analysts, however, believe the market may be entering a cooling phase after an extended rally period. Concerns around tightening liquidity, slowing speculative momentum, and uncertainty in global financial markets have contributed to fears of increased volatility ahead. Political factors have also played a role in market narratives. Trump has been viewed by many crypto investors as more favorable toward digital assets than previous administrations, leading some traders to expect stronger performance following election-related optimism. The latest prediction data has therefore created confusion among market participants who anticipated a more aggressive bullish trend. Despite the bearish probabilities, Bitcoin remains one of the strongest-performing assets of the decade, and analysts continue to emphasize that short-term prediction markets often fluctuate significantly depending on news cycles and investor sentiment.