# Wallet Profiling

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

- Repository: https://github.com/agiprolabs/claude-trading-skills (507 stars)
- Category: Engineering
- License: MIT
- Last updated: 2026-09-03
- Runs scripts: yes, review before use

## Install

Claude Code: `npx skills add agiprolabs/claude-trading-skills --skill wallet-profiling -g -a claude-code -y`
Codex: `npx skills add agiprolabs/claude-trading-skills --skill wallet-profiling -g -a codex -y`
Cursor: `npx skills add agiprolabs/claude-trading-skills --skill wallet-profiling -g -a cursor -y`
Gemini CLI: `npx skills add agiprolabs/claude-trading-skills --skill wallet-profiling -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add agiprolabs/claude-trading-skills`

## Description

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

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# 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:

The rest: https://github.com/agiprolabs/claude-trading-skills/blob/HEAD/skills/wallet-profiling/SKILL.md