Automated Trading System with Multi-Strategy Voting
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install quant-trading-systemOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install quant-trading-systemβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/quant-trading-system/π‘Extract and place the folder at the path above, then restart your agent.
Category
πFinance & InvestmentPlatforms
What Quant Trading System can do for your AI workflow
Automated trading system directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,410+ developers worldwide
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Quant Trading System
Help me get started with Quant Trading System
Explains what Quant Trading System does, walks through the setup, and runs a quick demo based on your current project
Use Quant Trading System to automated Trading System with Multi-Strategy Voting
Invokes Quant Trading System with the right parameters and returns the result directly in the conversation
What can I do with Quant Trading System in my finance & investment workflow?
Lists the top use cases for Quant Trading System, with example commands for each scenario
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Quant Trading System extends your AI assistant with the ability to automated Trading System with Multi-Strategy Voting. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Quant Trading System as its underlying capability.
Quant Trading System works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Quant Trading System once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Quant Trading System installs like any other MCP skill: drop the folder into `~/.claude/skills/quant-trading-system/` for global access, or `.claude/skills/quant-trading-system/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/quant-trading-system`, or let the AI decide when it's the right tool for your request.
Quant Trading System has been installed 1,410 times, making it one of the more actively used skills in the Finance & Investment category. The install rate suggests it solves a real, recurring need rather than a niche edge case. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/quant-trading-system/ for personal use (all projects), or .claude/skills/quant-trading-system/ for project-specific use. Restart your AI client, then invoke with /quant-trading-system or let the AI discover it automatically.
Quant Trading System supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Quant Trading System is free to install. Check the repository for licensing information.
Automated Trading System with Multi-Strategy Voting
System Resource Monitor
A clean, reliable system resource monitor for CPU load, RAM, Swap, and Disk usage. Optimized for OpenClaw.
Trading Coach
π AI Trading Review Coach β Turn your brokerage CSV into actionable insights for improvement! Automatic FIFO matching positions, 8-dimensional quality score (entry/exit/trend/risk...), 10-dimensional AI insight. Supports mainstream brokerages such as Futu (Chinese/English), Tiger, CITIC, and Huatai. Trigger conditions: Users provide transaction CSV, request analysis of transaction performance, evaluate transaction quality, generate review report, Calculate profit and loss statistics, identify trading pattern problems, "Help me review the transaction", "Analyze my transaction".
System Info
Automate my finance & investment tasks using Quant Trading System
Identifies repetitive steps in your workflow and sets up Quant Trading System to handle them automatically
Quant Trading System is categorized under Finance & Investment. These skills help AI agents perform specialized tasks in this domain.
Quick system diagnostics: CPU, memory, disk, uptime