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crypto-quant-trader

Analyze cryptocurrency markets and develop quantitative trading strategies with risk management.

Updated Feb 27, 2026
Search Tags:#quantitative analysis#risk management#backtesting#crypto trading#algorithmic trading#market microstructure#ICT
One-click install
npx skills add https://github.com/ratbase/claw-basement --skill crypto-quant-trader
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: crypto-quant-trader
Source: https://github.com/ratbase/claw-basement/tree/main/skills/crypto-quant-trader
Command: npx skills add https://github.com/ratbase/claw-basement --skill crypto-quant-trader

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill transforms Claude into a senior quantitative cryptocurrency trader, providing advanced strategies, risk management, and in-depth market analysis to navigate complex crypto markets.

Core Features & Use Cases

  • Advanced Market Analysis: Utilizes regime detection, order flow, ICT/SMC concepts, and multi-timeframe analysis for comprehensive market insights.
  • Strategy Development & Backtesting: Offers systematic strategy creation, robust backtesting (walk-forward, Monte Carlo), and performance analytics.
  • Risk Management: Implements sophisticated position sizing (Kelly Criterion, CVaR), drawdown control, and portfolio heat management.
  • Use Case: A user can ask for a detailed analysis of BTC's current market regime, receive a data-driven trading strategy tailored to that regime, and get precise entry/exit points with calculated risk parameters.

Quick Start

Analyze BTCUSDT on the 4H timeframe and provide a trading strategy based on the current market regime.

Frequently Asked Questions about crypto-quant-trader

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

FAQPage Schema
How do I develop a systematic crypto trading strategy with backtesting?▼

Crypto market analysis uses regime detection, order flow, and ICT/SMC concepts across multiple timeframes to identify market structure. This approach provides comprehensive insights into current price action and underlying market dynamics for strategic decision-making.

Can I use Kelly Criterion and CVaR for crypto position sizing?▼

Advanced crypto risk management involves implementing drawdown control and portfolio heat management alongside position sizing. These techniques systematically limit exposure and protect trading capital from excessive losses during adverse market movements.

What is the best way to analyze BTC market regimes for algorithmic trading?▼

The best way to analyze BTC market regimes for algorithmic trading is applying multi-timeframe analysis combined with order flow and ICT/SMC concepts. This yields a tailored trading strategy with calculated risk parameters suited to the specific market environment.

How does walk-forward backtesting work for quantitative crypto strategies?▼

Walk-forward backtesting validates quantitative crypto strategies by optimizing parameters on historical data and testing them on out-of-sample periods. This method ensures systematic trading strategies remain robust and perform reliably in live market conditions.

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