What technical indicators does this skill support?

It covers a wide range of indicators including SMAs, EMAs, ADX for trend strength, Donchian channels, Keltner channels, and volatility-adaptive bands.

Can it handle multi-asset portfolios?

Absolutely. It provides strategies for constructing diversified portfolios across equities, fixed income, FX, and commodities with correlation management.

Does this skill include risk management features?

Yes, it includes detailed methodologies for ATR-based position sizing, volatility scaling, and portfolio-level risk-parity principles to manage drawdowns.

What is the Trend Following skill for Claude Code?

It is a specialized capability that provides domain-specific guidance and implementation patterns for building systematic, trend-based quantitative trading systems using Claude Code.

How does this skill help with market noise?

It includes specific 'Quality Gate' checks and whipsaw mitigation techniques like confirmation delays, volatility filters, and multi-timeframe analysis.

Quantitative Trend Following Strategies

Name: Quantitative Trend Following Strategies
Author: brainbytes-dev

bybrainbytes-dev

•

数据科学与机器学习

Builds and implements systematic trend-following models, including moving average crossovers, channel breakouts, and volatility-adjusted position sizing.

This skill empowers Claude to design, backtest, and refine professional-grade trend-following systems within the Claude Code environment. It provides specialized knowledge on CTA-style models, including technical indicators like ADX and ATR, Turtle Trading rules, and diversified portfolio construction across multi-asset futures. It is an essential tool for developers and quantitative traders looking to automate risk management, reduce whipsaw effects, and implement robust trend-capture mechanisms in their algorithmic trading systems.

主要功能

01Standardized Moving Average and EMA crossover logic

02Donchian and Keltner channel breakout system design

03Multi-asset CTA portfolio construction and risk parity

04ATR-based position sizing and volatility scaling

051 GitHub stars

06Whipsaw mitigation and trend strength analysis using ADX

使用场景

01Designing risk-parity based position sizing for multi-asset portfolios

02Implementing Turtle Trading breakout rules for crypto or equities

03Building a systematic managed futures (CTA) trading bot

Quantitative Trend Following Strategies

bybrainbytes-dev

•

数据科学与机器学习

Builds and implements systematic trend-following models, including moving average crossovers, channel breakouts, and volatility-adjusted position sizing.

主要功能

01Standardized Moving Average and EMA crossover logic

02Donchian and Keltner channel breakout system design

03Multi-asset CTA portfolio construction and risk parity

04ATR-based position sizing and volatility scaling

051 GitHub stars

06Whipsaw mitigation and trend strength analysis using ADX

使用场景

01Designing risk-parity based position sizing for multi-asset portfolios

02Implementing Turtle Trading breakout rules for crypto or equities

03Building a systematic managed futures (CTA) trading bot