Finding the Hidden Overlap: Sectors, Narratives and Your Watchlist

You're Not Diversified Just Because You Own 8 Tokens

Vikram owned BTC, ETH, SOL, AVAX, MATIC, ARB, OP, and ATOM. Eight different tokens. He thought he was well-diversified. Then the crypto market corrected 30% in a week, and all eight dropped between 25% and 45%.

Why? Because seven of his eight holdings were in the same category: Layer 1 and Layer 2 infrastructure. When that narrative fell out of favour, everything in it dropped together. Owning eight correlated assets isn't diversification. It's concentration with extra steps.

What Are Narratives in Crypto?

In the stock market, you have sectors: IT, banking, pharma, FMCG. When one sector falls, others might hold steady. Crypto has something similar called narratives: thematic categories that groups of tokens belong to.

Common narratives include:

• Layer 1s: Base blockchains (ETH, SOL, AVAX, SUI)
• Layer 2s: Scaling solutions (ARB, OP, MATIC, BASE)
• DeFi: Decentralised finance protocols (AAVE, UNI, CRV)
• AI/Compute: Decentralised AI and computation (RNDR, FET, TAO)
• Gaming/Metaverse: Blockchain games (AXS, IMX, GALA)
• Real World Assets (RWA): Tokenised real-world assets (ONDO, MKR)
• Memecoins: Community-driven tokens (DOGE, SHIB, PEPE)
• Infrastructure: Oracles, storage, bridges (LINK, FIL, ATOM)

Tokens within the same narrative tend to move together. When AI tokens are hot, most AI tokens pump. When the narrative cools, they all drop, regardless of individual fundamentals.

How to Find Categories on CMC

CoinMarketCap has a Categories section that groups tokens by narrative. Every token page also shows tags: clickable labels like "DeFi," "Layer 1," "AI," "Gaming."

To use this:

1. Open any token on CMC
2. Look for the tags section (usually near the top or under the coin info)
3. Click a tag to see all tokens in that category
4. Note which categories your holdings fall into

If 70% of your portfolio is in one category, you're not diversified. You're making a concentrated bet on one narrative.

Building a Narrative Map of Your Portfolio

Take every token you own and write down its primary narrative:

Now look at the distribution. If one narrative dominates, you know exactly where your concentration risk is. This isn't about selling everything. It's about knowing what bet you're actually making.

Using Narratives for Research

Narratives also help you find new projects to research:

• If you believe AI and crypto will converge, browse the AI category on CMC to find the top tokens by market cap in that space
• If you think real-world asset tokenisation will grow, look at the RWA category
• If a narrative is heating up (you see multiple tokens pumping), check the category page to understand what's driving it

The key insight: narratives cycle. DeFi Summer 2020, NFTs in 2021, AI tokens in 2024. What's hot rotates. Understanding this helps you avoid chasing a narrative after it's already peaked.

Quick Recap

• Owning multiple tokens in the same category isn't diversification
• Crypto narratives (L1, DeFi, AI, Gaming, etc.) behave like stock market sectors
• Tokens within a narrative are highly correlated, so they pump and dump together
• Use CMC's categories and tags to map your portfolio by narrative
• If one narrative dominates your portfolio, you have concentration risk
• Narratives cycle, and today's hot sector is tomorrow's underperformer

Checklist

• Map every token in your watchlist to its primary narrative/category
• Check if more than 50% of your holdings fall into a single narrative
• Browse at least 2 CMC categories you haven't explored before
• Identify which narrative is currently "hot", and check if you're late to it

Common Mistakes

• Thinking you're diversified because you own many different tokens, when narrative correlation matters more than token count
• Chasing a narrative after it's already pumped 300%, when the easy gains are over
• Ignoring narrative rotation, and holding last cycle's winners while this cycle's narratives pass you by
• Not tagging your watchlist tokens by category, making it impossible to spot overconcentration