openclaw-trader

Automate cryptocurrency trading on Binance with signal detection and risk management.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/gcmsg/openclaw-trader --skill openclaw-trader
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openclaw-trader
Source: https://github.com/gcmsg/openclaw-trader/tree/main/skill
Command: npx skills add https://github.com/gcmsg/openclaw-trader --skill openclaw-trader

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates cryptocurrency trading by detecting signals, managing risk, and executing trades on Binance, reducing manual effort and improving trading efficiency.

Core Features & Use Cases

  • Automated Trading: Monitors markets 24/7, identifies trading opportunities, and executes trades.
  • Signal Detection: Utilizes over 20 technical and sentiment indicators across multiple timeframes.
  • Risk Management: Implements robust strategies like stop-loss, take-profit, and position sizing.
  • Backtesting & Optimization: Allows for historical data analysis and parameter tuning.
  • Use Case: A user wants to set up an automated trading strategy for Bitcoin and Ethereum on Binance Futures, including paper trading and backtesting to validate the strategy before live deployment.

Quick Start

Use the openclaw-trader skill to run a backtest for the 'short-trend' strategy over the last 90 days.

Frequently Asked Questions about openclaw-trader

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

FAQPage Schema
How do I automate crypto trading on Binance with an AI trading bot?

This AI-powered crypto trading bot automates Binance operations by detecting signals, managing risk, and executing trades autonomously. It monitors markets 24/7 across spot and futures to reduce manual effort.

Can I backtest an automated trading strategy before live deployment?

Yes, you can backtest an automated trading strategy before live deployment. The system allows historical data analysis and parameter tuning to validate strategies, and also supports paper trading for risk-free testing.

What risk management features does an automated crypto trading bot need?

Essential risk management features for an automated crypto trading bot include stop-loss, take-profit, and position sizing. This bot implements these advanced risk controls to protect capital during autonomous trade execution.

Does this automated trading bot support Binance futures markets?

Yes, the automated trading bot supports Binance futures markets. It executes trades across both spot and futures markets while utilizing over 20 technical and sentiment indicators across multiple timeframes.

How do technical and sentiment indicators improve crypto trading signals?

Technical and sentiment indicators improve crypto trading signals by analyzing multiple timeframes to identify market opportunities. The bot integrates over 20 indicators to generate AI-driven signals for automated trade execution.

What is the best way to optimize trading parameters for a crypto bot?

The best way to optimize trading parameters for a crypto bot is through historical data backtesting. This bot includes parameter optimization features, allowing you to fine-tune strategies like 'short-trend' over specific periods like 90 days.