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nft-analysis

Analyze NFT projects for investment decisions — evaluate fundamentals, identify red flags, assess risk, and provide buy/hold/avoid recommendations

中文简介正在准备中。当前显示原文说明。

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包含的文件(4)

  • SKILL.md7.5 KB
  • references/ardinals-dead-market.md2.9 KB
  • references/cloudflare-blocked-workflow.md6.7 KB
  • references/numismatis-nft-analysis.md4.2 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

NFT Project Analysis

Comprehensive framework for evaluating NFT projects and providing investment recommendations. Focuses on fundamentals, red flags, and risk assessment rather than speculation.

When to Use

  • User asks to analyze an NFT collection
  • User asks "should I buy this NFT?"
  • User wants to evaluate NFT project health
  • User asks about NFT price trends or investment potential

Analysis Framework

1. Data Collection

Primary sources:

  • OpenSea (floor price, volume, holders, sales)
  • Blur, LooksRare, Rarible (alternative marketplaces)
  • Twitter (community size, engagement, updates)
  • Discord/Telegram (community activity, team presence)
  • Etherscan/blockchain explorer (contract, holder distribution)
  • Project website (roadmap, team, utility)

Key metrics:

  • Floor price (current + historical)
  • Trading volume (24h, 7d, 30d)
  • Total volume (all-time)
  • Unique holders
  • Total supply
  • Recent sales activity
  • Listed count (how many NFTs are listed for sale)
  • Marketplace presence (which platforms list the collection)
  • Social media followers
  • Community engagement

CRITICAL: Check marketplace liquidity FIRST

  • Verify NFT is actually listed on marketplaces (OpenSea, Blur, etc.)
  • Check on-chain holders count (0 holders = NFTs stuck in contract)
  • Verify contract is verified on block explorer
  • If zero marketplace presence + zero holders = DEAD MARKET (instant avoid)

2. Chart Pattern Recognition

Healthy patterns:

  • Gradual uptrend with consolidation zones
  • Higher lows, higher highs
  • Multiple horizontal support levels
  • Steady volume growth
  • Low volatility

Death patterns:

  • Pump & dump (sharp spike → crash)
  • Death spiral (continuous decline, no support)
  • Extreme volatility (0 → peak → 0 → peak → 0)
  • Declining volume
  • No consolidation zones

Example death chart:

Launch:  0.1 ETH  (accumulation)
Month 2: 0.5 ETH  (PUMP — 5x in days)
Month 3: 0.0 ETH  (CRASH — rug pull)
Month 4: 0.4 ETH  (dead cat bounce)
Month 5: 0.003 ETH (death spiral)

Pattern: TEXTBOOK RUG PULL

3. Red Flags Checklist

Critical red flags (avoid immediately):

  • ❌ Zero marketplace listings (not on OpenSea/Blur/any platform)
  • ❌ Zero holders on-chain (NFTs stuck in minting contract)
  • ❌ Unverified contract (can't verify legitimacy)
  • ❌ Floor price < $10 (death territory)
  • ❌ No Discord/Telegram (dead community)
  • ❌ Zero market cap
  • ❌ No development updates in 3+ months
  • ❌ Wash trading (high sale count, tiny values)
  • ❌ No utility (pure collectible)
  • ❌ Team anonymous + no roadmap
  • ❌ Pump & dump chart pattern
  • ❌ 90%+ decline from peak
  • ❌ No recovery catalysts

Warning signs (proceed with caution):

  • ⚠️ Small community (< 5k Discord members)
  • ⚠️ Low liquidity (< 10 ETH daily volume)
  • ⚠️ High holder concentration (top 10 hold > 50%)
  • ⚠️ Declining social engagement
  • ⚠️ Delayed roadmap milestones
  • ⚠️ No partnerships or integrations

Positive signals:

  • ✅ Active Discord (10k+ members, daily activity)
  • ✅ Regular development updates
  • ✅ Real utility (gaming, metaverse, membership)
  • ✅ Partnerships with established projects
  • ✅ Doxxed team with track record
  • ✅ Healthy chart (uptrend, support levels)
  • ✅ Growing community
  • ✅ Blue-chip status (BAYC, Azuki, Pudgy Penguins)

4. Risk Assessment

Calculate probability-weighted expected value:

Scenarios:
1. Best case (5-10%): 3-10x gain
2. Most likely (70-80%): -50% to +50%
3. Worst case (10-20%): -90% to -100%

Expected value = (P1 × Gain1) + (P2 × Gain2) + (P3 × Loss3)

If EV < 0: AVOID
If EV > 0 but high risk: CAUTION
If EV > 0 and low risk: CONSIDER

Risk levels:

  • EXTREME (10/10): Death spiral, abandoned project, rug pull signs
  • HIGH (7-9/10): Declining metrics, weak community, no utility
  • MEDIUM (4-6/10): Mixed signals, execution risk, market dependent
  • LOW (1-3/10): Blue-chip, strong fundamentals, active development

5. Comparison with Similar Projects

Compare against:

  • Blue-chip NFTs (BAYC, Azuki, Doodles)
  • Same category (PFP, gaming, metaverse)
  • Similar launch date
  • Similar supply size

Metrics to compare:

  • Floor price trajectory
  • Volume trends
  • Community size
  • Development activity
  • Utility/roadmap execution

Recommendation Framework

BUY (Serok)

Criteria:

  • ✅ All fundamentals strong
  • ✅ Active community (10k+ Discord)
  • ✅ Regular development updates
  • ✅ Real utility or roadmap
  • ✅ Healthy chart (uptrend, support)
  • ✅ Expected value > 0
  • ✅ Risk level: LOW to MEDIUM

Example: Blue-chip NFT during temporary dip

HOLD

Criteria:

  • 🟡 Mixed signals
  • 🟡 Some red flags but not critical
  • 🟡 Execution risk
  • 🟡 Expected value ≈ 0
  • 🟡 Risk level: MEDIUM

Example: Established project with delayed roadmap

AVOID (Jangan Serok)

Criteria:

  • ❌ Multiple critical red flags
  • ❌ Death spiral chart pattern
  • ❌ Dead community
  • ❌ No development
  • ❌ Expected value < 0
  • ❌ Risk level: HIGH to EXTREME

Example: Project with $8 floor, no Discord, 95% down from peak

Response Format

Structure:

  1. Executive summary (BUY/HOLD/AVOID + one-line reason)
  2. Current metrics (floor, volume, holders)
  3. Chart analysis (pattern recognition)
  4. Red flags and positive signals
  5. Risk assessment (probability-weighted)
  6. Comparison with similar projects
  7. Final recommendation with reasoning

Tone:

  • Direct and honest (don't sugarcoat bad projects)
  • Data-driven (cite specific metrics)
  • Risk-aware (acknowledge uncertainty)
  • Actionable (clear buy/hold/avoid)
  • Lead with risk assessment — users want to know "is this high risk?" upfront, not buried in analysis
  • Label risk level prominently — use visual markers (🔴 EXTREME, 🟡 MEDIUM, 🟢 LOW) early in response

For Indonesian users:

  • Use "serok" for "buy the dip"
  • Use "jangan serok" for "don't buy"
  • Keep technical terms in English (floor price, volume, etc.)
  • Explain reasoning clearly
  • When user says "mantep ini untuk high risk" — they appreciate direct risk labeling and want it upfront, not buried

Pitfalls

  • Don't rely on hype — community excitement ≠ good investment
  • Don't ignore red flags — one critical red flag can sink a project
  • Don't assume recovery — death spirals rarely reverse
  • Don't compare apples to oranges — compare within same category
  • Don't forget opportunity cost — even if project survives, better options may exist

Verification

  • Cross-reference data from multiple sources (OpenSea + Twitter + Discord)
  • Check contract on Etherscan for holder distribution
  • Look for wash trading (same wallets trading back and forth)
  • Verify team claims (partnerships, roadmap milestones)

Example Analysis

See references/numismatis-nft-analysis.md for full example of death spiral project analysis.

See references/ardinals-dead-market.md for agent-only NFT with zero marketplace liquidity (dead market despite active minting).

See references/cloudflare-blocked-workflow.md for workflow when OpenSea blocks direct access (Cloudflare protection).

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