Quantitative trading knowledge and skills. Including multi-factor stock selection, technical indicators, classic strategies (double moving average, grid trading, breakout strategy), arbitrage strategies, backtesting framework (Backtrader), risk indicators, etc. Used to answer questions related to quantitative trading, stock analysis, strategy suggestions, etc.
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-tradingOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install quant-tradingβ 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/π‘Extract and place the folder at the path above, then restart your agent.
Category
πFinance & InvestmentWhat Quantitative trading knowledge can do for your AI workflow
Quantitative trading knowledge directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
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 Quantitative trading knowledge
Help me get started with Quantitative trading knowledge
Explains what Quantitative trading knowledge does, walks through the setup, and runs a quick demo based on your current project
Use Quantitative trading knowledge to quantitative trading knowledge and skills
Invokes Quantitative trading knowledge with the right parameters and returns the result directly in the conversation
What can I do with Quantitative trading knowledge in my finance & investment workflow?
Lists the top use cases for Quantitative trading knowledge, with example commands for each scenario
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Quantitative trading knowledge extends your AI assistant with the ability to quantitative trading knowledge and skills. Including multi-factor stock selection, technical indicators, classic strategies (double moving average, grid trading, breakout strategy), arbitrage strategies, backtesting framework (Backtrader), risk indicators, etc. Used to answer questions related to quantitative trading, stock analysis, strategy suggestions, etc. 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 Quantitative trading knowledge as its underlying capability.
Quantitative trading knowledge 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 Quantitative trading knowledge 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 Quantitative trading knowledge takes about two minutes. Place the skill at `~/.claude/skills/quant-trading/` (personal, all projects) or `.claude/skills/quant-trading/` (project-specific), then restart your AI client. From that point, typing `/quant-trading` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
Quantitative trading knowledge has 969 installs and is part of the growing Finance & Investment skill ecosystem on DiscoverAISkills. 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/ for personal use (all projects), or .claude/skills/quant-trading/ for project-specific use. Restart your AI client, then invoke with /quant-trading or let the AI discover it automatically.
Quantitative trading knowledge supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Quantitative trading knowledge is free to install. Check the repository for licensing information.
Quantitative trading knowledge and skills. Including multi-factor stock selection, technical indicators, classic strategies (double moving average, grid trading, breakout strategy), arbitrage strategies, backtesting framework (Backtrader), risk indicators, etc. Used to answer questions related to quantitative trading, stock analysis, strategy suggestions, etc.
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Automate my finance & investment tasks using Quantitative trading knowledge
Identifies repetitive steps in your workflow and sets up Quantitative trading knowledge to handle them automatically
Quantitative trading knowledge is categorized under Finance & Investment. These skills help AI agents perform specialized tasks in this domain.
Quantitative trading expert - based on practical experience in the Indian stock market, supports strategy generation, backtesting, and real trading (Zerodha/A-share adaptation)