8
@0xrurik
rurik ๐
Skipped detailed analysis: Personal account of a trader/KOL sharing thoughts, not a crypto project or protocol.
AI Analysisneutral
Confidence
30%
Skipped detailed analysis: Personal account of a trader/KOL sharing thoughts, not a crypto project or protocol.
Recent tweetsSee all on ๐ โ
Are we cooked?
๐ด #BTC below $62.000
๐ด #ETH below $1,600
๐ด #SOL below $68
Or is this the bottom?
SpaceX had their worst day since going public, falling over 16% and losing $400 billion in market cap ๐ณ Chart via Stocks News, content partner
Since the peak last week, SpaceX has lost over $850 billion in market cap. Thatโs worth more than Coca-Cola and Bank of America ๐
Today was a tough day for tech in general, with many of the biggest names getting hit hard. Swipe to see ๐
This market has been absolutely wild
๐จ THE BIGGEST AI BUBBLE COMPARISON IN DECADES!!!!
A growing number of analysts are comparing today's AI-driven rally with some of history's most well-known market cycles.
The historical timeline:
โ 1972: Nifty Fifty reached extreme valuations.
โ 1989: Japan's asset bubble peaked.
โ 1999: The Dot-com boom reached its final stage.
โ 2026: AI has become the dominant theme across global markets.
What makes this comparison interesting is that each cycle was driven by a powerful long-term narrative before market conditions eventually changed.
Today, AI-related companies account for a significant share of market gains, while investors continue to debate whether current valuations are sustainable.
Some market participants also view major IPOs, including a potential SpaceX listing, as an important liquidity event that could influence overall market sentiment.
History never repeats exactly, but it often provides useful context for understanding how market cycles evolve.
The next few months may reveal whether this cycle follows a similar pathโor writes a completely different chapter.
2021 alt season. Vs. 2026 alt season https://t.co/CNZdWggD0m
Its taco Tuesday ๐ฎ https://t.co/IuLNYGZUJ8
Signal Timeline
JR
@JRNYcrypto followed
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