Quantitative trading expert - based on practical experience in the Indian stock market, supports strategy generation, backtesting, and real trading (Zerodha/A-share adaptation)
Data sourced from ClawHub. View on ClawSkills
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install quant-trading-cnOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install quant-trading-cnβ 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-cn/π‘Extract and place the folder at the path above, then restart your agent.
Category
πFinance & InvestmentPlatforms
What Quant Trading CN can do for your AI workflow
Quantitative trading expert - directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 4,162+ 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 CN
Help me get started with Quant Trading CN
Explains what Quant Trading CN does, walks through the setup, and runs a quick demo based on your current project
Use Quant Trading CN to quantitative trading expert - based on practical experience in the ...
Invokes Quant Trading CN with the right parameters and returns the result directly in the conversation
What can I do with Quant Trading CN in my finance & investment workflow?
Lists the top use cases for Quant Trading CN, with example commands for each scenario
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Quant Trading CN extends your AI assistant with the ability to quantitative trading expert - based on practical experience in the Indian stock market, supports strategy generation, backtesting, and real trading (Zerodha/A-share adaptation). 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 CN as its underlying capability.
Quant Trading CN 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 CN 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.
Getting started with Quant Trading CN takes about two minutes. Place the skill at `~/.claude/skills/quant-trading-cn/` (personal, all projects) or `.claude/skills/quant-trading-cn/` (project-specific), then restart your AI client. From that point, typing `/quant-trading-cn` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
Quant Trading CN has been installed 4,162 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-cn/ for personal use (all projects), or .claude/skills/quant-trading-cn/ for project-specific use. Restart your AI client, then invoke with /quant-trading-cn or let the AI discover it automatically.
Quant Trading CN supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Quant Trading CN is free to install. Check the repository for licensing information.
Quantitative trading expert - based on practical experience in the Indian stock market, supports strategy generation, backtesting, and real trading (Zerodha/A-share adaptation)
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