alpha-search-research-intelligence
OfficialEnhance financial insights with AI-driven sentiment analysis.
Finance & Accounting#social media#sentiment analysis#financial news#FinBERT#research intelligence#quantitative signals
Authoralpha-search
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill bridges unstructured financial text data and quantitative signals, enabling precise sentiment assessments for investment research.
Core Features & Use Cases
- FinBERT Integration: Loads and applies financial domain-specific sentiment models to news, social media, and earnings call transcripts.
- Multi-source Sentiment Aggregation: Combines data from news, Twitter, and Reddit into a unified research intelligence score.
- Research Scenario: Use this Skill to generate real-time sentiment indicators on a specific ticker, supporting decision-making in trading strategies or market analysis.
Quick Start
Use this Skill to load FinBERT, analyze recent news and social media mentions for your chosen stock, and obtain an overall research sentiment score.
Dependency Matrix
Required Modules
transformerspandasnumpy
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: alpha-search-research-intelligence Download link: https://github.com/alpha-search/alpha-search/archive/main.zip#alpha-search-research-intelligence Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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