Prompt Library analysis intermediate

ChatGPT Prompts for Altcoin Research: Thesis-First Due Diligence

ChatGPT prompts for altcoin research and due diligence. Tokenomics analysis, team evaluation, competitive positioning, and risk scoring for any crypto project.

Tested on: GPT-4oClaude 4

The Prompt

Act as a crypto analyst who has evaluated 500+ projects across multiple market cycles and manages due diligence for a digital asset fund.
Conduct research on the following altcoin:
Project name and ticker: {name, ticker}
Category: {L1 / L2 / DeFi / NFT / gaming / infrastructure / RWA / AI}
Whitepaper/docs available: {paste key sections or describe the project}
Market data: {current price, market cap, fully diluted valuation, circulating vs. total supply}
Team information: {known founders, team background, advisors}
Your interest level: {researching for the first time / considering a position / already hold, reviewing}

Due diligence framework:
1. Project summary (3 sentences: what it is, what problem it solves, why blockchain is necessary for this)
2. Tokenomics score (1-10):
   - Supply schedule (inflation rate, unlock schedule, cliff/vesting)
   - Allocation (team %, investors %, community %)
   - Utility (does the token need to exist for the protocol to work?)
3. Competitive moat assessment (3 competitors, how this project differentiates, and whether that moat is defensible)
4. Red flags checklist: anonymous team / concentrated supply / no product / high FDV vs. market cap ratio / recently changed roadmap
5. Catalysts inventory (upcoming events that could drive price — product launches, listings, token unlocks)
6. Risk-adjusted conviction score (1-10, accounting for: technical risk, execution risk, market risk, regulatory risk)
7. Position sizing recommendation (what % of a crypto portfolio this quality of project deserves)

Constraints:
- Not financial advice — for educational research only
- Red flags must be named even if bullish overall — no confirmation bias
- FDV/MC ratio above 10x must be flagged as a risk
- Team anonymity is a red flag regardless of product quality

Variables to fill in

  • {project name and ticker} The altcoin you're researching
  • {category} L1, L2, DeFi, NFT, gaming, infrastructure, RWA, or AI
  • {market data} Price, market cap, FDV, circulating vs. total supply
  • {whitepaper/docs} Key sections from docs, or a description of the project
  • {team information} Known founders, team background, and advisors

How to use this prompt

  1. Paste the project's tokenomics section into the prompt for detailed supply analysis
  2. Run this before any altcoin purchase — the red flags checklist alone prevents many bad investments
  3. Use the risk-adjusted conviction score to build a position sizing framework across your portfolio
  4. Compare this analysis against a second AI run of the same data to check for divergent conclusions

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Pair this prompt with the Free BTC AI Predictor for live market context.

Altcoin research on computer screen with multiple crypto charts
Photo by DrawKit Illustrations on Unsplash

Tokenomics analysis prevents the most common altcoin losses

The majority of altcoin losses come not from bad technology but from bad tokenomics — excessive team/investor allocations, aggressive unlock schedules that create constant sell pressure, or tokens with no genuine utility that get dumped by early holders at every rally. The tokenomics score section gives you a structured way to evaluate these risks before committing capital.

FDV/MC ratio above 10x is a significant warning sign

Fully Diluted Valuation (FDV) divided by current Market Cap shows how much supply is yet to be unlocked. A 10x ratio means 90% of the token supply is locked — and will be released over time, creating persistent sell pressure. At current market cap, you’re essentially buying into a project that is 10x more expensive in terms of total token value than the price suggests.

The ‘why blockchain?’ question filters out most hype

Many projects use blockchain for marketing, not because it’s technically necessary. A genuine blockchain use case requires decentralization, censorship resistance, or programmable settlement that a centralized database can’t provide. If the answer to ‘why does this need a token?’ is vague or unconvincing, the project is unlikely to have durable demand for its token.