Generate technical-analysis trade setups from OHLCV CSV using SMA/EMA/RSI/MACD/ATR with clear entry, stop, target, and position size.
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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 beta-ta-signal-engineOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install beta-ta-signal-engineβ 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/beta-ta-signal-engine/π‘Extract and place the folder at the path above, then restart your agent.
Category
πData & AnalyticsPlatforms
What Beta TA Signal Engine can do for your AI workflow
Technical-analysis trade 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 Beta TA Signal Engine
Help me get started with Beta TA Signal Engine
Explains what Beta TA Signal Engine does, walks through the setup, and runs a quick demo based on your current project
Use Beta TA Signal Engine to generate technical-analysis trade setups from OHLCV CSV using SMA/E...
Invokes Beta TA Signal Engine with the right parameters and returns the result directly in the conversation
What can I do with Beta TA Signal Engine in my data & analytics workflow?
Lists the top use cases for Beta TA Signal Engine, with example commands for each scenario
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Beta TA Signal Engine extends your AI assistant with the ability to generate technical-analysis trade setups from OHLCV CSV using SMA/EMA/RSI/MACD/ATR with clear entry, stop, target, and position size. 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 Beta TA Signal Engine as its underlying capability.
Beta TA Signal Engine 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 Beta TA Signal Engine 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 Beta TA Signal Engine, copy the skill folder to `~/.claude/skills/beta-ta-signal-engine/` for use across all your projects, or `.claude/skills/beta-ta-signal-engine/` for a single project. Restart Claude and the skill is immediately active β invoke it with `/beta-ta-signal-engine` or just describe your goal and the AI will pick it up automatically.
Beta TA Signal Engine has 67 installs and is part of the growing Data & Analytics 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/beta-ta-signal-engine/ for personal use (all projects), or .claude/skills/beta-ta-signal-engine/ for project-specific use. Restart your AI client, then invoke with /beta-ta-signal-engine or let the AI discover it automatically.
Beta TA Signal Engine supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Beta TA Signal Engine is free to install. Check the repository for licensing information.
Generate technical-analysis trade setups from OHLCV CSV using SMA/EMA/RSI/MACD/ATR with clear entry, stop, target, and position size.
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