[Token Name] — Case Study
Token: [name] ([address])
Date: [date]
Outcome: ✅ Winner / ❌ Loser / ⏳ Inconclusive
Narrative type: [CEO tweet / AI tie-in / meme / event / none]
Data confidence: HIGH / MEDIUM / LOW
Full Timeline
| Time (UTC) | Event |
|---|
| Narrative catalyst (tweet, news, post) |
| Token launch |
| Key BC events |
| Migration |
| Post-migration notable events |
Narrative Chain
Why it worked / failed: [1 paragraph]
Bonding Curve Phase
Data source: [Solscan export / GeckoTerminal / none]
| Metric | Value |
|---|
| Time to fill | |
| Dev buy at launch | |
| First 30s volume | |
| Buy/sell ratio (first 30s) | |
| Unique wallets (first 30s) | |
| Multi-buy wallets | |
Post-Migration Phase
Data source: [Solscan CSV export — X txs]
Volume by 30-Second Bucket
| Window | Txs | Buy Vol | Sell Vol | Net |
|---|
| 0–30s | | | | |
| 30–60s | | | | |
| 60–90s | | | | |
| 90–120s | | | | |
2-min total:
Notable Events
Signals Present / Absent
Narrative
| Signal | Present? | Notes |
|---|
| High-credibility source | | |
| Name alignment | | |
| Simple repeatable thesis | | |
| Organic underlying event | | |
On-Chain (Post-Migration)
| Signal | Value | Pass? |
|---|
| 30s volume > $300 | | |
| Largest buy > $100 | | |
| Bot accumulation (3+ buys same wallet) | | |
| Buy tx count > sell tx count | | |
| Net sell < -$500 | | |
Key Lessons
Data Gaps
Sources
Related Pages