Key Points
Bitcoin jumped 6.3% to $81,196 on Fed dovish sentiment and institutional ETF demand.
Spot Bitcoin ETFs accumulated $55.2 billion inflows versus $13.1 billion into Ethereum funds.
RSI at 65.8 shows momentum but price above upper Bollinger Band signals near-term pullback risk.
Meyka forecasts $75,855 in one month (down 6.6%) and $101,606 in 12 months (up 25.1%).
Bitcoin USD surged $4,846 to $81,196 in 24 hours, a 6.3% gain that extends a two-year outperformance streak. The move follows a dovish Federal Reserve forecast and reflects sustained institutional demand through spot Bitcoin ETFs, which have pulled in $55.2 billion in cumulative net inflows. The rally underscores Bitcoin’s dominance over altcoins, which have lagged significantly over the same period.
Why Bitcoin is pulling away from the rest of the market
Bitcoin gained 28% over two years while the median mid-cap altcoin lost 74%, according to Glassnode and Bybit research. Spot Bitcoin ETFs have attracted $55.2 billion in cumulative inflows, dwarfing the $13.1 billion into Ethereum funds. This concentration reflects institutional preference for Bitcoin as the safest asset, even as speculative leverage pools in riskier corners like PEPE, which carries futures open interest worth 24% of its market cap.
Technical setup shows momentum but caution ahead
The RSI sits at 65.8, approaching overbought territory but not yet extreme. The MACD histogram is negative at -476.3, suggesting momentum may be cooling despite the price surge. Bitcoin trades above its upper Bollinger Band at $81,356.58, indicating the move is stretched. The ADX at 40.03 confirms a strong trend, but the Stochastic %K at 40.7 and %D at 25.45 show room for the rally to extend before hitting resistance.
Bitcoin forecast shows pullback risk near-term, strength long-term
Meyka’s one-month forecast is $75,855.19, down 6.6% from current price, suggesting near-term consolidation. The 12-month forecast of $101,606.06 implies 25.1% upside from today’s level. The three-year forecast reaches $130,174.97, reflecting expectations for sustained appreciation. Forecasts may change due to market conditions, regulations, or unexpected events.
Volume and sentiment support the move but with limits
Trading volume hit $21.6 billion in 24 hours, 1.42 times the average, showing solid participation. The Money Flow Index at 44.06 remains neutral, not yet signaling extreme buying pressure. The Awesome Oscillator at 4,046.40 is positive but the Williams %R at -14.65 hints that the move may face headwinds if buyers step back.
Final Thoughts
Bitcoin’s 6.3% rally reflects institutional capital concentration and Fed-driven sentiment, but technical indicators suggest the move is stretched near-term. The RSI at 65.8 and price above the upper Bollinger Band point to a pullback risk in the coming weeks, though the 12-month forecast of $101,606 keeps the longer-term picture bullish.
FAQs
Bitcoin surged after a dovish Federal Reserve forecast and on sustained institutional demand through spot ETFs, which have pulled in $55.2 billion cumulatively.
The RSI at 65.8 is elevated but not extreme overbought. Price above the upper Bollinger Band at $81,356.58 signals a stretched move that could pull back.
One-month forecast is $75,855.19 (down 6.6%), 12-month is $101,606.06 (up 25.1%), and three-year is $130,174.97 (up 60.3%).
Bitcoin gained 28% over two years while median mid-cap altcoins lost 74%, per Glassnode and Bybit research, showing extreme concentration at the top.
Disclaimer:
Cryptocurrency markets are highly volatile. This content is for informational purposes only. The Forecast Prediction Model is provided for informational purposes only and should not be considered financial advice. Meyka AI PTY LTD provides market data and sentiment analysis, not financial advice. Always do your own research and consider consulting a licensed financial advisor before making investment decisions.
About Author

Huzaifa Zahoor
Co FounderHuzaifa Zahoor is the engineer who built Meyka. He has spent years writing Python, training AI models, and building data pipelines specifically for financial markets. His technical articles have reached over 30,000 readers on Medium, so he knows how to make complex things easy to follow. If this article touches on how the tools work, he is the person who actually built them.
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