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buy-side-news-analyst

Analyze financial news into L1-L5 buy-side investment reports with trade recommendations.

2|2|Updated Mar 1, 2026
Search Tags:#investment#risk-management#news-analysis#position-sizing#trade-ideas#buy-side#industry-impact
One-click install
npx skills add https://github.com/pynbj1001/agent-workspace --skill buy-side-news-analyst
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: buy-side-news-analyst
Source: https://github.com/pynbj1001/agent-workspace/tree/main/skills/buy-side-news-analyst
Command: npx skills add https://github.com/pynbj1001/agent-workspace --skill buy-side-news-analyst

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Provides institutional-style, buy-side analysis of market-moving news so investors can move from passive reading to actionable investment decisions that include specific trade ideas, sizing, and risk controls.

Core Features & Use Cases

  • L1-L5 Layered Analysis: Breaks news into Fact, Background, Impact, Expectations, and Action with clear rationale.
  • Actionable Trade Ideas: Delivers concrete suggestions including ticker symbols, position sizing, stop-loss and target levels, and timeframe.
  • Historical Context & Industry Mapping: Matches events to historical parallels and maps supply-chain winners and losers to infer second-order effects.
  • Use Case: When a geopolitically driven oil disruption occurs, produce an L1-L5 report with beneficiaries (e.g., upstream oil names), specific ETFs or stock tickers, recommended position size, and stop-loss.

Quick Start

Analyze this news item and return a full L1-L5 buy-side investment analysis with historical parallels, beneficiaries/losers, concrete tickers, suggested position sizing, stop-loss and target prices, timeframe, and key risks.

Frequently Asked Questions about buy-side-news-analyst

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

FAQPage Schema
How do I generate actionable trade ideas from financial news?▼

Generating actionable trade ideas from financial news requires buy-side investment analysis that maps market-moving headlines to specific ticker symbols, position sizing, and stop-loss targets. This approach delivers concrete trade recommendations with layered rationale and conviction levels.

What is L1-L5 layered analysis in buy-side investment research?▼

L1-L5 layered analysis in buy-side investment research breaks financial news into Fact, Background, Impact, Expectations, and Action. This structured framework transforms passive news reading into institutional-grade investment decisions with clear rationale.

How do I analyze geopolitical events for supply-chain winners and losers?▼

Analyzing geopolitical events for supply-chain winners and losers requires buy-side news analysis that maps industry impact and historical parallels. This identifies second-order effects to infer concrete beneficiaries and losers with specific trade recommendations.

Can I get specific position sizing and stop-loss targets from market news?▼

You can get specific position sizing and stop-loss targets from market news by applying institutional buy-side analysis. This delivers concrete trade recommendations including ticker symbols, suggested position size, stop-loss and target prices, and timeframe.

Does buy-side news analysis work for macro, earnings, and corporate event scenarios?▼

Buy-side news analysis works for macro, earnings, geopolitical, and corporate event scenarios by applying layered L1-L5 analysis to each. This produces actionable investment decisions with historical context and risk controls across diverse market-moving headlines.

What's the best way to find historical parallels for current market-moving headlines?▼

The best way to find historical parallels for current market-moving headlines is through buy-side news analysis that matches events to past occurrences. This contextualizes current financial news within historical context to inform concrete trade ideas and risk management.

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