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momentum-strategies

Design and optimize momentum-based trading strategies across time-series, cross-sectional, and dual momentum paradigms.

10|2|Updated Mar 14, 2026
Search Tags:#strategy#time-series#momentum#risk-management#backtesting#trading#cross-sectional
One-click install
npx skills add https://github.com/brainbytes-dev/everything-claude-trading --skill momentum-strategies
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: momentum-strategies
Source: https://github.com/brainbytes-dev/everything-claude-trading/tree/main/skills/strategies/momentum-strategies
Command: npx skills add https://github.com/brainbytes-dev/everything-claude-trading --skill momentum-strategies

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Momentum strategy design — time-series, cross-sectional, and dual momentum approaches. Use when building momentum-based systems.

Core Features & Use Cases

  • Time-series momentum (trend-following) and cross-sectional momentum (relative strength) design for multi-asset universes
  • Dual momentum framework combining trend signals with relative strength, plus crash mitigation and volatility scaling
  • Backtesting, risk management, and deployment templates for live momentum portfolios

Quick Start

Design a momentum strategy by selecting a universe, choosing a lookback (e.g., 12-1), and running a backtest with monthly rebalancing.

Frequently Asked Questions about momentum-strategies

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

FAQPage Schema
How do I design a momentum trading strategy with crash mitigation and volatility scaling?▼

Design momentum trading strategies by selecting an asset universe, choosing a lookback period like 12-1, and applying volatility scaling with crash mitigation controls before backtesting monthly rebalancing.

What is the difference between time-series momentum and cross-sectional momentum?▼

Time-series momentum follows absolute price trends using lookback signals, while cross-sectional momentum ranks relative strength across an asset universe to identify outperformers for portfolio allocation.

Can I backtest dual momentum strategies across equities, futures, and FX?▼

Yes, dual momentum frameworks support backtesting across multi-asset universes including equities, futures, and FX by combining time-series trend signals with cross-sectional relative strength analysis.

How do I implement risk management controls for a live momentum portfolio?▼

Implement risk management for live momentum portfolios using volatility scaling to adjust position sizing, crash mitigation filters, and deployment templates with monthly rebalancing workflows.

What lookback options should I use for cross-sectional momentum ranking?▼

Common lookback options include 12-1 configurations for cross-sectional momentum, measuring trailing performance over twelve months while excluding the most recent month to avoid short-term reversal effects.

When should I not use momentum-based trading strategies?▼

Momentum strategies face limitations during market transitions or choppy sideways environments where trend-following signals generate false positives, requiring volatility scaling and crash mitigation to manage drawdowns.

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