Mock Trading Agent Skill

This skill provides a fully functional mock (paper) trading environment. It allows OpenClaw to simulate algorithmic trading by fetching live market data, evaluating algorithmic strategies, and updating a virtual portfolio.

Components

• assets/portfolio.json: A template virtual bank account containing $10,000 USD.
• scripts/mock_bot.py: A python script that executes a single "tick" of the trading bot. It fetches the current price, evaluates the strategy based on price history, executes mock trades, and updates the portfolio file.

Setup & Usage

When a user asks to start a mock trading session:

1. Initialize the Portfolio: Copy the template portfolio to the user's working directory.

   cp {baseDir}/assets/portfolio.json ./my_portfolio.json