research

Name: research
Availability: InStock
Author: raosuraj23

Aggregate Alpaca News and RSS feeds into structured ResearchBriefs via Gemini.

Updated Apr 14, 2026

Search Tags:#research #gemini #news #edge #sentiment #brief #ta

Ready to run

npx skills add https://github.com/raosuraj23/alpaca-bot --skill research-raosuraj23

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: research
Source: https://github.com/raosuraj23/alpaca-bot/tree/main/.claude/skills/research
Command: npx skills add https://github.com/raosuraj23/alpaca-bot --skill research-raosuraj23

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Deep research across multiple sources to surface actionable market insights with edge detection, reducing manual synthesis time.

Core Features & Use Cases

Aggregates news from Alpaca News REST and RSS feeds.
Computes per-symbol edge using Gemini ResearchBrief for sentiment and catalysts.
Produces a structured ResearchBrief including macro themes, catalysts, risks, and recommended focus.

Quick Start

Ask Gemini to generate a ResearchBrief from the latest Alpaca news and RSS feeds for your current universe.

Frequently Asked Questions about research

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I aggregate multi-source news and technical indicators for market research briefs?▼

Market research briefs are generated by aggregating multi-source news from Alpaca News REST and RSS feeds alongside technical indicators. This process produces edge-aware briefs that surface actionable market insights for symbol-level signals, reducing manual synthesis time.

How does Gemini compute per-symbol edge for sentiment and catalysts?▼

Gemini computes per-symbol edge by analyzing aggregated news data to identify sentiment and catalysts. It applies its analysis capabilities to generate a structured ResearchBrief schema that includes macro themes, risks, and recommended focus areas for equities and crypto.

Can I use this research approach for both equities and crypto portfolio research?▼

Yes, this research approach applies to both equities and crypto portfolio research. It supports macro theme discovery and alerting for catalysts, risks, and focus shifts across your current universe of symbols using the structured ResearchBrief output.

What is a structured ResearchBrief and what data does it include?▼

A structured ResearchBrief is a schema-based output that includes macro themes, catalysts, risks, and recommended focus. It synthesizes multi-source news and technical indicators to provide edge-aware, actionable market insights for your specific symbol universe.

Do I need Alpaca News REST and RSS feeds to generate edge-aware market insights?▼

Yes, Alpaca News REST and RSS feeds are the required data sources for aggregation. These feeds provide the raw news data that Gemini analyzes to compute per-symbol edge, detect sentiment, and produce the final structured research briefs.

What are the limitations of using news aggregation for technical indicator analysis?▼

News aggregation for technical indicator analysis relies on the availability and quality of Alpaca News REST and RSS feeds. While it surfaces catalysts and sentiment, it should be used as a research brief to reduce manual synthesis time rather than a standalone automated trading signal.