Professional crypto research moves through five layers. Each layer either confirms the project deserves deeper investigation or eliminates it. Most projects are eliminated before layer three. The goal is not to find reasons to invest — it is to find reasons not to invest, until there are none left.

Team: LinkedIn, Twitter/X, previous project history. GitHub — does the repo have real commit history or was it dumped all at once?

Tokenomics: The project's own documentation or tokenomics page. CoinGecko and CoinMarketCap for supply data. Token Terminal or Messari for vesting schedules.

Traction: DeFiLlama for TVL. Dune Analytics for on-chain activity. The project's own dashboard — but verify independently.

Competitor landscape: Research what the project claims is its competitive advantage, then search for every existing solution in the same space. Who has more users? More funding? More developer activity?

The most dangerous altcoins are often the most exciting ones. They have compelling narratives, professional-looking websites, active communities, and price charts that have already moved significantly. The excitement and the social proof make the red flags feel like noise — until they do not.

A red flag does not mean a project will definitely fail. It means the risk profile has changed in a way that requires acknowledgment. One red flag — proceed with caution and reduced size. Multiple red flags — walk away regardless of how compelling the narrative is.

An altcoin position has a fundamentally different risk profile from a BTC position. Bitcoin has a floor — imperfect, but meaningful — created by institutional adoption, sovereign holdings, and a decade of network effect. Most altcoins have no such floor. An altcoin can go to zero. Many do.

This does not mean altcoins should not be held. It means the position sizing must reflect the genuine possibility of full loss — not just the upside target. A position that produces 10x is not a good trade if the probability-weighted outcome was breakeven or negative.

Position size should be proportional to conviction — and conviction should be proportional to research depth. This sounds obvious. In practice, most retail investors do the opposite: they size largest on the projects they know the least about (because they saw it on social media) and smallest on the projects they have researched deeply.

The rule: if you cannot explain in five minutes why you own this altcoin, what the bull case is, what the bear case is, and what would make you sell — you are not holding a conviction position. You are holding a lottery ticket. Size it accordingly: small enough that losing it all does not hurt.

Without a structured evaluation, every altcoin decision is influenced by the emotional state at the time of research — the excitement of a trending token, the FOMO of seeing a chart that has already moved, the social proof of a community that all agrees the project is revolutionary.

A scorecard forces you to evaluate every project on the same criteria, in the same order, regardless of how compelling the narrative is. It makes the pattern of bad projects visible before money is committed. The projects that score badly on a scorecard tend to perform badly. The correlation is not perfect — but it is strong enough to be worth following.

Even a high-scoring altcoin bought at the wrong cycle phase can produce poor returns. Altcoins outperform BTC in late markup (alt season) and underperform significantly in bear markets. The cycle framework from Module 4 applies directly here:

Accumulation phase (now): Focus on Tier 1 and 2. Selective high-conviction Tier 3. Minimal or no Tier 4.
Early markup: Rotate from BTC into high-scoring Tier 2 and Tier 3 alts as BTC dominance falls.
Late markup / alt season: Trim Tier 3 and 4 positions first as cycle signals mature.
Distribution / markdown: Exit alts aggressively. BTC and stables only.