A streamlined pipeline for automating QuantConnect backtest lifecycles from local strategy files to detailed cloud result downloads.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install qc-backtest-master
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install qc-backtest-master using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
QC Backtest Master is a specialized automation tool designed for quantitative developers using Openclaw Skills to bridge the gap between local development and the QuantConnect cloud environment. This skill eliminates the need for manual interaction with the QuantConnect web UI by providing a robust command-line interface and API wrapper for submitting strategies, triggering cloud compilations, and managing backtest execution.
By integrating directly with the QuantConnect REST API v2, it allows for a programmatic approach to algorithmic trading research. This Openclaw Skills component is particularly valuable for developers who need to iterate quickly on strategies, requiring automated feedback loops and local data persistence for backtest results.
To use this skill within your Openclaw Skills environment, ensure you have python3 installed and set the following environment variables:
export QC_USER_ID="your_quantconnect_user_id"
export QC_API_TOKEN="your_quantconnect_api_token"
export QC_PROJECT_ID="your_target_project_id"
The skill will automatically utilize these credentials to authenticate with the QuantConnect REST API.
The skill organizes backtest data into a structured directory for each execution.
| File Name | Description | Format |
|---|---|---|
<backtest_id>_result.json |
Comprehensive statistics, performance charts, and runtime data. | JSON |
<backtest_id>_orders.csv |
A full audit trail of all orders including symbol, direction, price, and fees. | CSV |
main.py |
A copy of the strategy file submitted to the cloud. | Python |
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