Skills

Wallet Profiling

Behavioral classification, performance analysis, and trading style detection for Solana...

Install

npx skills add agiprolabs/claude-trading-skills --skill wallet-profiling -g -a claude-code -y
Category
Engineering
Updated
2mo ago
License
MIT
Context cost
Mediumabout 2,309 tokens
Runs scripts
Yes, review before use

What it does

Behavioral classification, performance analysis, and trading style detection for Solana wallets

Wallet Profiling

Behavioral classification, performance analysis, and trading style detection for Solana wallets. Profile any wallet to understand how it trades, how well it performs, and whether it is worth following.

Why Wallet Profiling Matters

Copy-Trade Evaluation

Before mirroring another wallet's trades, you need evidence that its historical performance is genuine, consistent, and not the result of a single lucky hit. Profiling quantifies win rate, profit factor, hold time, and consistency so you can make informed decisions about which wallets merit attention.

Smart Money Identification

Wallets that consistently buy tokens early and exit profitably are signal sources. Profiling separates genuinely skilled traders from lucky gamblers and wash-trading bots. Key differentiators: sustained profit factor above 2.0, win rates above 45% across 100+ trades, and diversified token selection.

Counterparty Analysis

When a large wallet enters a position you hold, understanding its historical behavior (sniper vs. holder, bot vs. human) helps you anticipate what will happen next. A sniper wallet buying suggests a quick dump is coming; a swing trader buying suggests multi-day conviction.

Risk Assessment

Token holder analysis benefits from knowing whether top holders are bots, snipers, or genuine investors. A token where 60% of holders are classified as snipers has very different risk characteristics than one held primarily by swing traders.

Wallet Classification

By Trading Style

Classification is based on the median hold time across all closed trades:

Read the whole SKILL.md on GitHub

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