Quant Trader Daily for Openclaw

A professional workflow and task management system for quantitative and stock traders to automate reporting and risk monitoring.

horizoncove
v1.0.0
Mar 9, 2026
0
917
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install trader-daily

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install trader-daily 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 Quant Trader Daily?

Quant Trader Daily is a comprehensive command-line-driven system designed to streamline the high-pressure environment of professional stock trading. This skill provides a structured framework for managing daily tasks, from pre-market technical analysis to real-time risk monitoring and automated end-of-day reporting. By integrating these essential workflows into Openclaw Skills, traders can maintain high operational standards and ensure no critical risk or reporting requirement is missed.

This tool is specifically engineered for traders who require a rigorous methodology for tracking holdings, reviewing market trends, and communicating performance to stakeholders. It bridges the gap between manual trading logs and automated algorithmic systems by providing a centralized command center for daily operations.

Quant Trader Daily Use Cases

  • Automating the generation of opening and closing briefings for supervisors.
  • Establishing a rigorous schedule for intraday portfolio monitoring and technical analysis.
  • Enforcing risk control protocols by checking stop-loss and take-profit thresholds automatically.
  • Maintaining detailed trading logs and performance reviews for post-market analysis.
  • Consolidating global financial news and overnight market trends into actionable reports.

How Quant Trader Daily Works

  1. The trader initializes the environment by configuring their current portfolio and risk parameters in localized JSON files.
  2. The skill utilizes a predefined daily schedule to trigger specific tasks at market-critical timestamps (Pre-market, Intraday, and Post-market).
  3. Python-based scripts pull real-time or snapshot portfolio data to generate formatted Markdown reports for opening, closing, and daily summaries.
  4. The risk monitor script runs at regular intervals to check current positions against defined safety thresholds like stop-loss or take-profit lines.
  5. All activities and trades are logged systematically via CLI to facilitate a comprehensive end-of-day review and strategy adjustment for the following session.

Quant Trader Daily Setup

To begin using this skill within Openclaw Skills, follow these installation and configuration steps:

  1. Review the default daily schedule:
cat references/daily-schedule.md
  1. Configure your holdings in config/portfolio.json and set your risk parameters in config/risk.json.

  2. Generate an initial opening report to verify connectivity:

python3 scripts/generate_report.py --type opening --portfolio config/portfolio.json
  1. Start the risk monitoring agent:
python3 scripts/risk_monitor.py --portfolio config/portfolio.json --threshold 8

Quant Trader Daily Data Schema & Taxonomy

The skill organizes its data across structured configuration files and Markdown templates to ensure clarity and portability.

File Type Description
config/portfolio.json JSON Stores position codes, quantities, entry costs, and specific exit targets.
config/risk.json JSON Defines global parameters like maximum single position size and alert intervals.
references/ Markdown Contains static files for schedules and reporting structures.
scripts/ Python Logic for report generation and risk monitoring calculations.

Quant Trader Daily Advanced Features

  • Customizable report templates for institutional-grade reporting structures.
  • Automated risk control alerts with configurable sensitivity thresholds (default -8%).
  • Multi-market tracking capabilities covering US stocks, commodities, and A-share trends.
  • Integration with Openclaw Skills to trigger automated tasks via CLI or agent-led workflows.
  • Dedicated performance review cycles designed for professional quant trading departments.

SKILL.md


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