longbridge-investment-ideas
0This skill provides actionable investment ideas by analyzing value, momentum, and fundamental improvement. It is designed for users looking to discover new investment opportunities rather than research specific stocks.
000Updated 3w ago
Investment
Quick InstallView Source
$ npx skills add https://github.com/longbridge/skills --skill longbridge-investment-ideasOverview
About This Skill
The Longbridge Investment Ideas skill automatically surfaces actionable investment opportunities by analyzing value metrics, momentum signals, and fundamental improvements across multiple markets. It synthesizes real-time Longbridge data to identify stocks worth researching rather than focusing on specific stock analysis. Users can discover new investment candidates in Hong Kong, US, A-share, and Singapore markets using plain English or Chinese. The skill integrates Graham NCAV/net-net screening and Buffett moat analysis to support value investing frameworks. It's designed for investors and portfolio managers who want systematic discovery of potential opportunities grounded in quantitative and fundamental signals.
How to Use
Install using `npx skills add https://github.com/longbridge/skills --skill longbridge-investment-ideas`.
Use Cases
Find valuable stocks currently worth investing in
Generate investment ideas in AI infrastructure
Discover thematic catalysts for investments
Tags
Setup & Installation
Quick Install
Terminal
$ npx skills add https://github.com/longbridge/skills --skill longbridge-investment-ideasAlternative Install (Git Clone)
git clone https://github.com/longbridge/skillsRequirements
- Claude Code or compatible AI agent
Quick Start Guide
1
Install the Skill
Copy the install command above and run it in your terminal.
2
Open Your AI Agent
Launch Claude Code, Cursor, or your preferred AI coding agent.
3
Try It Out
Use the prompt template or examples below to test the skill.
4
Customize
Adapt the skill to your specific use case and workflow.
Usage Examples
📝
No Examples Available
Check the GitHub repository or documentation for usage examples.
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