technical-analysis

Identify financial market edge opportunities using price action and validated indicators.

Updated Apr 19, 2026
One-click install
npx skills add https://github.com/LLoydall/ljl-consultancy --skill technical-analysis-lloydall
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: technical-analysis
Source: https://github.com/LLoydall/ljl-consultancy/tree/main/.agents/skills/technical-analysis
Command: npx skills add https://github.com/LLoydall/ljl-consultancy --skill technical-analysis-lloydall

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Price action, chart patterns, and indicator signals often fail to translate into reliable trade opportunities. This Skill consolidates these methods into a coherent framework to identify edge opportunities and robust setups.

Core Features & Use Cases

  • Integrates Dow/Wyckoff-based patterns, trend structure, and volume context to generate high-probability trades.
  • Provides guidance on time-frame alignment, risk-reward evaluation, and backtesting considerations per references.
  • Use cases include spotting breakouts, reversals, and continuations across forex, equities, and crypto with validated patterns.

Quick Start

Analyze the latest price action for BTCUSD, identify a setup using structure breaks and volume confirmation, and propose an actionable entry with a stop.

Frequently Asked Questions about technical-analysis

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

FAQPage Schema
How do I identify high-probability trading setups using price action and chart patterns?

Generate actionable trading setups by combining price action, structure breaks, and volume context. This framework validates chart patterns across multiple timeframes and asset classes to define specific entries, stops, and risk-reward calculations.

How do I backtest chart patterns to ensure my trading edge is valid?

Backtest chart patterns by applying constraints for out-of-sample testing and cost-inclusive performance metrics. Validating your trading edge ensures rules-based setups maintain profitability across different market conditions and timeframes.

Does technical analysis work for crypto, forex, and equities across different timeframes?

Technical analysis works across forex, equities, and crypto by applying time-frame alignment principles. Analyzing trend structure and volume context ensures setups remain valid regardless of the specific asset class or chart timeframe being evaluated.

What's the best way to combine volume analysis with trend structure for market entries?

Combine volume analysis with trend structure by evaluating volume context alongside structural market breaks. This integration validates indicator signals, transforming basic price action patterns into robust, actionable trade entries with clearly defined stops.

How do I calculate risk-reward ratios and define stop losses for breakout trades?

Calculate risk-reward ratios and define stop losses by applying structure breaks to set defined risk parameters. Ensuring entries have calculated stops validates that breakout trades meet backtested performance metrics and cost-inclusive constraints.