Quantitative trading signal system. Generate buy and sell signals based on a variety of technical indicators (MACD, RSI, KDJ, Bollinger Bands, moving average). Supports signals such as golden cross and dead cross, bottom divergence, top divergence, overbought and oversold. Available for stocks and cryptocurrencies.
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 trading-signalsOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install trading-signalsβ 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/trading-signals/π‘Extract and place the folder at the path above, then restart your agent.
Category
πFinance & InvestmentPlatforms
What Quantitative trading signals can do for your AI workflow
Quantitative trading signal 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 signals
Help me get started with Quantitative trading signals
Explains what Quantitative trading signals does, walks through the setup, and runs a quick demo based on your current project
Use Quantitative trading signals to quantitative trading signal system
Invokes Quantitative trading signals with the right parameters and returns the result directly in the conversation
What can I do with Quantitative trading signals in my finance & investment workflow?
Lists the top use cases for Quantitative trading signals, with example commands for each scenario
Guides & tutorials for AI skills
The 7 AI Skills Every Software Developer Should Have Installed in 2026
After testing dozens of developer-focused AI skills, these are the seven that have proven genuinely useful across different tech stacks and workflows β not just impressive demos, but tools that hold up under daily use.
MCP Skills vs Native Claude Tools: What's the Difference and When to Use Each
Claude comes with built-in capabilities, but MCP skills extend it in ways the base model can't. Here's a clear breakdown of what each type of tool is good for, with real examples of when to reach for a skill versus relying on Claude's native abilities.
Quantitative trading signals extends your AI assistant with the ability to quantitative trading signal system. Generate buy and sell signals based on a variety of technical indicators (MACD, RSI, KDJ, Bollinger Bands, moving average). Supports signals such as golden cross and dead cross, bottom divergence, top divergence, overbought and oversold. Available for stocks and cryptocurrencies. 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 signals as its underlying capability.
Quantitative trading signals 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 signals 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.
To install Quantitative trading signals, copy the skill folder to `~/.claude/skills/trading-signals/` for use across all your projects, or `.claude/skills/trading-signals/` for a single project. Restart Claude and the skill is immediately active β invoke it with `/trading-signals` or just describe your goal and the AI will pick it up automatically.
Quantitative trading signals has 776 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/trading-signals/ for personal use (all projects), or .claude/skills/trading-signals/ for project-specific use. Restart your AI client, then invoke with /trading-signals or let the AI discover it automatically.
Quantitative trading signals supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Quantitative trading signals is free to install. Check the repository for licensing information.
Quantitative trading signal system. Generate buy and sell signals based on a variety of technical indicators (MACD, RSI, KDJ, Bollinger Bands, moving average). Supports signals such as golden cross and dead cross, bottom divergence, top divergence, overbought and oversold. Available for stocks and cryptocurrencies.
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".
Trading
Trading analysis and education. Technical analysis, chart patterns, risk management, and position sizing for stocks, forex, and crypto.
Trading Research
Automate my finance & investment tasks using Quantitative trading signals
Identifies repetitive steps in your workflow and sets up Quantitative trading signals to handle them automatically
Quantitative trading signals is categorized under Finance & Investment. These skills help AI agents perform specialized tasks in this domain.
Binance cryptocurrency trading research, technical analysis, and position management. Triggers on requests for crypto prices, market data, trading analysis, DCA planning, position sizing, whale activity, or any trading research questions about Bitcoin, altcoins, or crypto markets.