trade

Generates AI-driven manual trade plans with chase and limit order strategies for financial markets.

40|12|Updated Feb 15, 2026
One-click install
npx skills add https://github.com/Degenapetrader/EVClaw --skill trade-degenapetrader
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: trade
Source: https://github.com/Degenapetrader/EVClaw/tree/main/openclaw_skills/trade
Command: npx skills add https://github.com/Degenapetrader/EVClaw --skill trade-degenapetrader

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps users plan manual trades by providing AI-generated trade plans with entry and exit strategies, saving them from complex market analysis and decision-making.

Core Features & Use Cases

  • AI-Powered Trade Planning: Generates detailed trade plans including entry styles (chase vs. resting limit), confidence levels, and sizing.
  • Contextual Insights: Incorporates market data, portfolio context, and AI conviction to inform trade decisions.
  • Use Case: When considering a trade on ETH, you can ask this Skill to generate a plan that suggests both an immediate entry and a limit order based on support/resistance levels, complete with risk management parameters.

Quick Start

Ask the trade skill to generate a plan for trading BTC.

Frequently Asked Questions about trade

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

FAQPage Schema
How do I generate an AI-driven trade plan for crypto markets?

To generate an AI-driven trade plan, request a strategy for a specific asset like BTC. The system analyzes real-time market data and AI conviction scores to provide actionable entry, exit, and risk management insights.

Can I customize position sizing and risk management parameters for my trade strategy?

Yes, you can define user-specific sizing and risk parameters. The trade strategy generator uses these personalized inputs to tailor immediate execution and limit order recommendations to your portfolio status.

What is the difference between chase and resting limit order strategies in trade planning?

Chase strategies suggest immediate market execution for quick entry, while resting limit orders target specific support or resistance levels. Trade planning tools provide both options based on real-time market data.

How do I use AI conviction scores to inform manual trading decisions?

AI conviction scores contextualize market data and portfolio status to guide manual trading decisions. Higher scores indicate stronger algorithmic confidence, helping you weigh immediate execution against limit order entries.

What's the best way to plan an ETH trade using real-time market data?

The best way to plan an ETH trade is to request a strategy that integrates real-time market data with your portfolio context. This generates a comprehensive plan featuring entry styles, confidence levels, and sizing.

Are there limitations to using AI-generated trade plans for financial markets?

AI-generated trade plans are designed for manual execution and require user-defined risk parameters. They provide actionable insights and conviction scores but do not execute trades automatically or guarantee market outcomes.