ETH Strategy for Openclaw

A professional-grade automated technical analysis tool for ETH/USDT and other crypto pairs providing actionable entry and exit signals.

samary-xia
v1.0.2
Apr 9, 2026
0
815
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install eth-strategy

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install eth-strategy using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is ETH Strategy?

The ETH Strategy skill is a sophisticated trading intelligence tool designed for the OpenClaw ecosystem. It performs a comprehensive multi-dimensional technical analysis on ETH/USDT (and other major pairs) by synthesizing multiple indicators and price action patterns into a coherent trading plan. This tool is part of the growing library of Openclaw Skills aimed at bridging the gap between raw market data and actionable trading strategies.

By leveraging the ETH Strategy, users gain access to a disciplined analysis framework that covers everything from trend identification to risk management. It effectively replaces manual charting with an automated, objective process that evaluates market structure and sentiment in real-time, providing clear long or short directions alongside precise stop-loss and take-profit levels.

ETH Strategy Use Cases

  • Automated technical analysis for ETH/USDT to determine market direction.
  • Identifying high-probability entry points based on combined technical indicators.
  • Setting disciplined risk parameters including stop-loss and multi-stage take-profit targets.
  • Scanning alternative trading pairs like BTC/USDT using the same rigorous logic.
  • Detecting market manipulation zones and retail sentiment shifts.

How ETH Strategy Works

  1. The user executes the skill via the CLI, specifying the desired trading pair.
  2. The skill utilizes CCXT to fetch real-time market data from supported exchanges.
  3. A comprehensive suite of technical indicators is calculated using pandas-ta, including MACD, EMA, RSI, and KDJ.
  4. The system analyzes market structure through the lens of Chan Theory (Zen Theory) and candlestick patterns like engulfing or hammers.
  5. Volume profile analysis is conducted to identify heavy trading zones and liquidity pockets.
  6. The skill synthesizes these inputs to output a finalized strategy containing direction, entry price, stop-loss, and tiered profit targets.

ETH Strategy Setup

To use this tool within the OpenClaw environment, ensure you have the necessary Python dependencies installed and then execute the skill command.

# Install required dependencies
pip install pandas pandas-ta ccxt numpy

# Execute the ETH Strategy for the default pair (ETH/USDT)
openclaw exec eth-strategy

# Execute for a specific pair
openclaw exec eth-strategy BTC/USDT

ETH Strategy Data Schema & Taxonomy

The ETH Strategy skill processes and organizes data based on technical indicators and market structure. The output follows a structured taxonomy:

Data Component Description
Market Trend Directional bias (Long/Short) derived from EMA, MA, and MACD.
Structural Points Entry, Stop-Loss, and Take-Profit levels based on support/resistance.
Indicators Raw and signal values for RSI, BOLL, ADX, and KDJ.
Price Action Identified K-line patterns such as Hammers or Engulfing candles.
Sentiment Heuristic determination of retail vs. market maker activity zones.

ETH Strategy Advanced Features

  • Multi-pair support allowing users to apply the ETH Strategy logic to any asset supported by CCXT.
  • Integration of Chan Theory for sophisticated market structure and cycle analysis.
  • Automated liquidity hunt detection to identify market maker 'trap' zones.
  • Tiered take-profit output to support professional scaling-out exit strategies.
  • High-density indicator confluence requiring multiple signals to align before issuing a trade direction.

SKILL.md


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