Why is nobody talking about how “simple math” can wreck your crypto thesis?

A lot of traders lose money because they treat token valuations like clean spreadsheet formulas. They see two similar projects, compare market caps, and assume the “cheaper” one must catch up. That shortcut creates brutal FOMO entries.

Take a basic case study: two companies, same sector, same hype cycle, but completely different fundamentals. Company A may look expensive because it trades at a higher valuation, while Company B looks “undervalued” on paper. But if A has stronger revenue, better users, deeper liquidity, and real demand, the premium makes sense.

Crypto does this all the time. People compare $ETH to a smaller L1, or $BNB to another exchange token, and say “if it reaches the same market cap, price goes X.” But supply, unlocks, token utility, liquidity depth, and actual adoption change the whole equation. The math may be correct, but the assumption is usually broken.

That’s why relative valuation is useful, but dangerous when used alone. The market doesn’t reward tokens just because they look cheap next to $BTC or a bigger competitor. It rewards conviction backed by demand, execution, and timing.

What’s your take on using market cap comparisons to find entries?

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