Trading patterns

What they buy, when they buy, and how they exit.

Every wallet has a rhythm — some are early, some follow hype, some are exit snipers. Kairo maps these trading signatures over time so you can see how a wallet thinks.

🧠 What We Analyze

For each wallet, Kairo distills:

• 📅 Entry Timing – Does this wallet buy pre-hype, mid-run, or late top?

• 🔁 Holding Style – Swing trading in hours, or conviction holds over weeks?

• 📈 Exit Behavior – Do they sell early, DCA out, or ride to the top?

• 🧼 Bag Cleaning – How often do they fully exit positions vs partial trims?

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🔍 Patterns We Detect

Kairo automatically tags behavioral tendencies like:

Pattern Name	Description
Cycle Rider	Buys early and exits near local tops consistently
FOMO Buyer	Enters once volume spikes, rarely profits
Sniper	Buys small and fast on new tokens, exits early
Conviction Holder	Holds positions across market cycles, few sells
Rotation Trader	Cycles quickly between meme/DeFi/narratives
Liquidity Magnet	Only buys tokens with high on-chain volume

Each tag is dynamic — it can shift as behavior evolves.

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📘 Example:

Wallet 0xcat...fead

• Buys pre-launch tokens within 30 minutes of deployment

• Sells 90% within 6–8 hours

• Prefers low-cap Solana tokens

• Rarely interacts with the same token twice

Kairo tags this wallet: 🏷️ Early Catcher / Exit Sniper / Solana Rotator

🧩 Why It Matters

Knowing how a wallet behaves lets you:

• Follow smart entries before CT finds them

• Avoid copy-trading inconsistent or emotional wallets

• Study successful behavior and backtest it

• Map out risk appetite by holding patterns

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These patterns feed directly into our AI labeling system, so when you see a tag like “High-Conviction ETH Holder” or “Cycle Top Exit Sniper”, it’s based on actual patterns — not assumptions.