Trump, Bitcoin, Ethereum ETFs, Tokenization: Trader's Reasons For The 'Most Bullish Crypto Setup'

Crypto analyst Miles Deutscher outlined ten key catalysts that he believes will drive significant growth in the crypto market.

What Happened: His predictions include the German government exhausting its Bitcoin BTC/USD reserves, strong inflows into Bitcoin ETFs and the potential impact of the U.S. presidential election. He also highlighted the launch of Spot Ethereum ETH/USD ETFs and Goldman Sachs’ tokenization projects as potential growth drivers.

Regarding the Germans selling BTC, he added that the best part about overhang is "once selling is priced into the market, there is a floor on the downside and headroom for the price to move higher."

He also pointed to the FTX repaying $16 billion to creditors, who are likely to re-enter the market, leading to a fresh bid. He highlighted he global liquidity cycle being highly correlated to crypto and based on the 65-month cycle it suggests a late 2025 peak.

Also Read: Bitcoin Option Traders Expect Near-Term Volatility, Crypto-Asset Trading Experts Say

Why It Matters: Deutscher’s predictions come at a time when the crypto market is upbeat. He adds that in his six years of crypto "this is one of the most bullish setups" he has ever seen.

Among the key catalysts, Deutscher pointed out the potential impact of the U.S. presidential election. "There is no doubt that a Trump presidency is a positive catalyst for crypto, given his administration is supportive of the industry," he said.

Deutscher also highlighted the importance of the upcoming ETF, "The Spot ETH ETFs are imminent, and are a major catalyst for the crypto market, lending further credibility to its standing as a legitimate asset class."

What’s Next: The influence of Bitcoin as an institutional asset class is expected to be thoroughly explored at Benzinga’s upcoming Future of Digital Assets event on Nov. 19.

Read Next:

• Donald Trump Comments On Crypto Pivot: ‘If We Don’t Do It, China Will’

This content was partially produced with the help of AI tools and was reviewed and published by Benzinga editors.

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