A dual-purpose quantitative trading skill for OKX that combines Python-based technical indicator calculation with CLI-driven order execution.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install okx-quant-trade
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install okx-quant-trade 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 OKX Quantitative Trading System?
The OKX Quantitative Trading skill is a high-performance integration designed for Openclaw Skills that enables AI agents to bridge the gap between market analysis and trade execution. It leverages a Python engine for calculating complex technical indicators such as EMA, RSI, Bias, and Bollinger Bands across multiple timeframes, providing a data-driven foundation for trading decisions.
Beyond analysis, the skill utilizes the OKX CLI to perform real-time trading operations across spot, perpetual swaps, and futures markets. By supporting both live and demo profiles, it ensures developers can safely test strategies before deploying capital, making it an essential component for any trading-focused implementation of Openclaw Skills.
OKX Quantitative Trading System Use Cases
- Automating market analysis by calculating technical indicators like RSI and Bollinger Bands for specific pairs.
- Executing complex order types including market, limit, and trailing stops based on real-time signals.
- Managing perpetual swap positions with configurable leverage and margin modes.
- Scheduling periodic market scans to identify trading opportunities during specific market hours.
- Verifying portfolio health by checking balances, positions, and order history programmatically.
How OKX Quantitative Trading System Works
- The agent performs a credential and profile check to ensure valid API keys are available and to distinguish between live and demo environments.
- Technical indicators are requested via the Python calculation engine, which fetches K-line data from OKX public APIs.
- The engine returns a clean JSON object containing calculated values like EMA crossovers or RSI levels.
- Based on the analysis, the agent constructs a CLI command for the OKX trade engine, specifying parameters like instrument ID, side, and order type.
- The skill executes the trade and performs an immediate post-write verification by checking the order status or updated position list.
OKX Quantitative Trading System Setup
To get started with this skill in your Openclaw Skills environment, follow these steps:
# 1. Install required Python packages for the indicator engine
pip install pandas requests apscheduler
# 2. Install the OKX Trade CLI globally
npm install -g @okx_ai/okx-trade-cli
# 3. Initialize your API credentials
okx config init
# 4. Verify configuration using the demo profile
okx --profile demo spot orders
OKX Quantitative Trading System Data Schema & Taxonomy
The skill organizes data through a combination of configuration files and structured JSON outputs:
| Data Type | Storage/Format | Description |
|---|---|---|
| Credentials | ~/.okx/config.toml | Stores encrypted API keys, secrets, and passphrases for different profiles. |
| Analysis Results | JSON Object | Output from calculator.py containing timestamp, instId, and technical arrays (ema, rsi, bb). |
| Order Records | OKX API v5 Response | Raw responses from the exchange confirming order IDs and execution status. |
| Schedules | APScheduler Tasks | Internal memory mapping of periodic indicator calculation triggers. |
OKX Quantitative Trading System Advanced Features
- Multi-timeframe batch querying (e.g., 1H, 4H, and 1D) in a single execution for global market perspective.
- Integrated Risk Management with support for attached Take-Profit (TP) and Stop-Loss (SL) during initial order placement.
- Trailing Stop-Loss capabilities with customizable callback ratios for dynamic exit strategies.
- Automatic currency conversion using the quote_ccy flag, allowing users to trade in USDT amounts without manual size calculation.
- Robust error handling for 401 authentication failures and 429 rate limits within the Openclaw Skills workflow.
SKILL.md
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