A trading strategy sandbox that enables users to backtest and deploy financial strategies using natural language commands.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install devbox-poc
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 devbox-poc 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 Trading DevBox (POC)?
Trading DevBox (POC) is a specialized environment designed for traders and developers to prototype financial strategies without writing complex code. By leveraging Openclaw Skills, this tool translates natural language descriptions into executable backtests and live deployments. It streamlines the quantitative finance workflow, allowing for rapid iteration on market hypotheses through an intuitive AI-driven interface.
The system is built for speed and ease of use, featuring automated wallet generation and a focus on concise, multi-language feedback. Whether you are testing technical indicators or complex entry/exit logic, DevBox provides a safe sandbox to refine your approach before moving to active execution.
Trading DevBox (POC) Use Cases
- Rapidly backtesting technical analysis strategies like Moving Average crossovers or RSI filters.
- Deploying live trading bots directly from a conversation using natural language intent.
- Monitoring the performance and status of active strategies via simple CLI commands.
- Managing a dedicated AI-trading wallet with built-in AIUSD balance tracking.
How Trading DevBox (POC) Works
- The user provides a trading strategy description in natural language (e.g., BTC breaking MA20).
- The trading_backtest tool processes the intent and runs a simulation against historical or mock data.
- The user refines the strategy by adding additional filters or parameters through follow-up prompts.
- Once satisfied, the user triggers the trading_deploy tool to move the strategy into a live state.
- The agent manages the execution lifecycle, which can be monitored at any time using the status commands.
Trading DevBox (POC) Setup
To integrate this skill into your environment, use the following command provided by the Openclaw Skills manager:
openclaw plugins install devbox-poc
No manual configuration is required. A trading wallet is automatically generated upon the first execution of the plugin.
Trading DevBox (POC) Data Schema & Taxonomy
The skill manages several key data points and entities to ensure consistent trading operations:
| Entity | Description |
|---|---|
| Wallet | Auto-generated on first run; stores address and AIUSD balances. |
| Backtest Results | Reports generated from natural language prompts including PnL and hit rates. |
| Active Strategies | A registry of currently deployed bots, accessible via /status. |
| Metadata | Requires Node.js environment as defined in the Openclaw Skills manifest. |
Trading DevBox (POC) Advanced Features
- Natural Language Refinement: Incrementally add filters like RSI or Volatility constraints to existing backtests without restarting the process.
- Multi-Language Support: Fully functional in various languages, ensuring the AI agent responds in the user's preferred tongue.
- Automated Wallet Provisioning: Zero-touch setup for financial operations, ideal for rapid prototyping within Openclaw Skills.
- Real-time Status Monitoring: Use the
/statusand/walletcommands for immediate oversight of all active deployments and capital.
SKILL.md
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