Top 10 Crypto Trends ahead of 2025

Miles Deutscher , a prominent crypto analyst, recently shared an insightful thread on X (formerly Twitter), touching on key market trends, AI developments, and trading strategies. This article unpacks his 10 key insights, providing a comprehensive analysis of the crypto landscape as we kick off 2025.

Top 10 Crypto Trends for 2025

1. Don’t Fade Q1 Seasonality

Historically, Q1 has been a bullish season for crypto. Miles highlighted a post by Aporia debunking the contrarian mindset of dismissing seasonal trends. The post emphasized the importance of following historical probabilities rather than feeding egos by attempting to go against the grain.

"Do you want to make money or feed your ego? Good luck going against historical probabilities," said Aporia.

2. Ethereum’s Potential Rally

Is Ethereum ($ETH) poised for a major rally ? Miles shared a detailed analysis by Doc illustrating Ethereum’s performance during Q1 across previous years. This data suggests Ethereum could gain momentum, supported by consistent seasonal trends since 2016.

3. Alt Season Breakdown

Alt season may be closer than expected. A repost by patience analyzed past cycles, suggesting Q1 is often a pivotal period for altcoins . Historically, February through the end of Q1 has been the “crescendo” of alt season, marked by Ethereum’s dominance and BTC’s slower price action.

4. The AI Agent Bull Run

December 2024 marked the start of a significant bull run for AI agents . Crypto Koryo shared a performance chart showing AI agents far outperforming other sectors like NFTs , GameFi , and DeFi . Miles highlighted this trend, suggesting AI agents are driving a new market narrative.

5. The Undervalued AI Agent Sector

Despite the hype, the AI agent sector remains undervalued, with a total market cap of just $15B compared to $121B for memecoins . Sistine Research predicts the sector could skyrocket to $100B as adoption grows, making it a promising space for early investors.

6. Comprehensive AI Agent Analysis

Miles shared a detailed analysis by s4mmy examining mindshare vs. market cap across top AI agent projects. Highlights include:

• AIXBT: Increased mindshare (+0.54%) despite a 10.2% market cap decline.
• AI16Z: Corrections in market cap (-5.7%) as developers refine tokenomics.
• Virtuals: Dominance continues with minor pullbacks (-2.3%).

The analysis underscores the dynamic growth and innovation within the sector.

7. A Guide to the AI Agent Supercycle

Edgy’s guide, shared by Edgy - The DeFi Edge , titled "The A.I. Agent Supercycle," provides a deep dive into the top AI infrastructure plays. Virtuals ($4.6B market cap) and AI16Z ($2.2B market cap) are identified as key players, each with unique strengths in driving the AI narrative.

8. Avoid Fumbling in the AI Meta

A post by Game for One outlined three pitfalls to avoid in the current AI meta:

1. Judging projects prematurely.
2. Overthinking speculative opportunities.
3. Chasing revenue or fundamentals in a highly speculative market.

This advice highlights the need for a balanced approach when navigating emerging trends.

9. Developing Conviction Amid Elevated Prices

How do you build conviction in an era of elevated prices? Eugene Ng Ah Sio shared a framework for identifying promising tokens:

1. Focus on novel ideas and newer tokens.
2. Look for projects with minimal bagholders.
3. Prioritize tokens with infinite valuation potential (e.g., meme coins).

This approach helps investors identify opportunities even in overbought conditions.

10. A Timely Reminder to Take Profits

Finally, Kyle offered a crucial reminder about the importance of taking profits. Over-leveraging and failing to lock in gains are common pitfalls during bullish periods. As Miles noted, it’s essential to strike a balance between ambition and caution.

 

Conclusion

As highlighted in Deutscher’s thread , these crypto trends shared by these different users from different backgrounds (analysts, traders, researchers...) have set a roadmap for navigating the crypto market in 2025. From leveraging historical patterns to understanding the AI agent meta, these insights highlight the dynamic and rapidly evolving nature of the space.