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alpha-review

Analyze alpha signals from a SQLite database to surface top investment opportunities.

Updated Feb 27, 2026
Search Tags:#data-analysis#portfolio-management#ranking#investment-analysis#alpha-signals#signal-review
One-click install
npx skills add https://github.com/danny0926/NLP-data-for-trading --skill alpha-review
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: alpha-review
Source: https://github.com/danny0926/NLP-data-for-trading/tree/main/.claude/skills/alpha-review
Command: npx skills add https://github.com/danny0926/NLP-data-for-trading --skill alpha-review

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Alpha-review enables rapid assessment of current alpha signals by surfacing the top picks and investment suggestions, reducing manual signal curation time.

Core Features & Use Cases

  • Top Picks Overview: presents the highest-strength original and enhanced alpha signals for quick comparison.
  • Convergence and Confidence Insights: highlights signals with convergence and confidence metrics to prioritize robust opportunities.
  • Portfolio Context for Decisions: integrates signal view with portfolio considerations to guide investment choices.

Quick Start

Run the alpha-review workflow to generate the latest signal view from data/data.db.

Frequently Asked Questions about alpha-review

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

FAQPage Schema
How do I surface top alpha signals from my SQLite database for investment picks?▼

To surface top alpha signals, you can analyze the alpha_signals and enhanced_signals tables in your SQLite database to rank investment opportunities by strength. This process highlights convergence and confidence metrics to prioritize robust investment picks.

What is the best way to rank investment opportunities using alpha signal convergence?▼

Ranking investment opportunities by alpha signal convergence involves comparing original and enhanced signals within your local SQLite database. This identifies top picks by evaluating convergence and confidence metrics across the signal data.

Do I need a specific SQLite schema to review alpha signals and enhanced signals?▼

Yes, reviewing alpha signals requires a SQLite database containing alpha_signals and enhanced_signals tables along with related metadata. This specific schema allows the analysis to determine ranking and convergence indicators deterministically.

Can I generate portfolio context for investment decisions using local alpha signals?▼

Yes, you can generate portfolio context for investment decisions by integrating your local alpha signal view with portfolio considerations. This guides investment choices by surfacing top picks and their convergence indicators.

Does alpha signal analysis require external dependencies beyond Python?▼

No, alpha signal analysis operates deterministically with no external dependencies beyond Python. It relies entirely on your local SQLite database to process original and enhanced signals for investment ranking.

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