kol-tracker

Analyze cryptocurrency KOL trading patterns and extract backtestable strategies.

Updated Aug 23, 2026

Search Tags:#analysis #strategy #trading #crypto #kol #followin

Ready to run

npx skills add https://github.com/anjieyang/GetAll --skill kol-tracker

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: kol-tracker
Source: https://github.com/anjieyang/GetAll/tree/main/getall/skills/kol-tracker
Command: npx skills add https://github.com/anjieyang/GetAll --skill kol-tracker

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps users understand and learn from the trading strategies of cryptocurrency Key Opinion Leaders (KOLs) by analyzing their past performance and distilling their methods into reusable templates.

Core Features & Use Cases

KOL Trading Analysis: Study specific KOLs' trading styles, preferred coins, and risk management approaches.
Call Verification: Assess the historical accuracy of KOL calls using market data.
Strategy Extraction: Convert a KOL's approach into a structured, backtestable trading strategy.
Use Case: A user wants to understand how a popular crypto influencer trades and potentially replicate their success. They can use this Skill to analyze the influencer's past trades, check their accuracy, and even generate a strategy based on their observed patterns.

Quick Start

Analyze the trading style of the KOL named 'CryptoWhale'.

Frequently Asked Questions about kol-tracker

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I analyze a crypto KOL's trading patterns?▼

To analyze crypto KOL trading patterns, you evaluate their preferred coins, trading timeframes, entry and exit styles, and risk management using data from sources like the Followin API and web searches.

What is KOL call verification in crypto trading?▼

KOL call verification is the process of assessing the historical accuracy of a cryptocurrency influencer's market calls using historical market data to determine their reliability.

Can I convert qualitative crypto trading insights into quantitative rules?▼

Yes, you can convert qualitative crypto trading insights into quantitative rules by extracting a KOL's approach and formalizing it into a structured, backtestable trading strategy template.

Does the Followin API provide data for backtesting crypto strategies?▼

Yes, the Followin API provides historical KOL trading data that can be scoped and formalized into quantitative rules, facilitating the backtesting of extracted cryptocurrency trading strategies.

What is the best way to extract a reusable trading strategy from an influencer?▼

The best way to extract a reusable trading strategy is to analyze the influencer's past performance, call accuracy, and risk management, then formalize these qualitative observations into structured trading rules.

What are the limitations of analyzing crypto influencer trading patterns?▼

Limitations include relying on the availability of historical data from sources like the Followin API and the challenge of accurately converting qualitative, subjective calls into strict quantitative rules.