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financial-research

Analyze financial portfolios and watchlists using technical, fundamental, and sentiment data.

Updated Jun 19, 2026
Search Tags:#automation#analysis#finance#portfolio#trading#investing
One-click install
npx skills add https://github.com/a-chris/auto-search-finance --skill financial-research-a-chris
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: financial-research
Source: https://github.com/a-chris/auto-search-finance/tree/main/skills/financial-research
Command: npx skills add https://github.com/a-chris/auto-search-finance --skill financial-research-a-chris

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the problem of information overload and missed market opportunities by autonomously monitoring your portfolio and watchlist for critical financial signals.

Core Features & Use Cases

  • Danger Detection: Automatically scans portfolio holdings for technical breakdowns, fundamental deterioration, and concentration risks.
  • Opportunity Hunting: Ranks watchlist tickers by technical and fundamental extremeness to identify high-conviction entry points.
  • Use Case: Use this agent to stay informed about your investments without constant manual checking; it will only alert you via Telegram when a significant risk or a high-conviction opportunity arises.

Quick Start

Run the financial research skill to scan my portfolio and watchlist for urgent alerts.

Frequently Asked Questions about financial-research

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

FAQPage Schema
How do I automate financial portfolio monitoring for technical and fundamental risk alerts?▼

Automate financial portfolio monitoring by running an agent that scans holdings for technical breakdowns and fundamental deterioration, delivering risk alerts directly to Telegram when significant threats arise.

What's the best way to find high-conviction investment opportunities from a watchlist?▼

Find high-conviction investment opportunities by ranking watchlist tickers based on technical and fundamental extremeness, which identifies optimal entry points without requiring constant manual market checking.

How does cross-agent scoring work for investment decision support?▼

Cross-agent scoring for investment decision support works by executing multi-phase research pipelines that integrate sentiment data, risk assessment, and valuation analysis to produce actionable financial signals.

Do I need financial data APIs and Telegram to run autonomous market analysis?▼

Yes, you need integration with financial data APIs to retrieve market data and Telegram configured for notification delivery to receive autonomous alerts about portfolio dangers and watchlist opportunities.

Can I detect concentration risks in my investment portfolio automatically?▼

Yes, you can detect concentration risks automatically through the danger detection feature, which scans portfolio holdings to identify critical financial signals and alert you before risks escalate.

What are the limitations of using autonomous agents for financial research and trading alerts?▼

Limitations include reliance on external financial data APIs for accuracy and Telegram as the sole notification channel, meaning API outages or delayed data feeds can impact the timeliness of trading and investing alerts.

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