AI Skills for Stock Trading: How to Build a Personal Market Intelligence System

The Problem with AI and Stock Research

Most people use AI for stock research the wrong way: they ask Claude "should I buy NVDA?" and get a generic disclaimer. That's not how you get value from AI in investing.

The right approach is to use AI as a data aggregation and analysis layer — pulling in real-time prices, news, fundamentals, and market signals, then letting AI synthesize them into actionable insights. That requires the right skills.

Here's the stack we recommend for serious investors.

The Finance Skill Stack

Polymarket — Prediction Market Intelligence

Install: clawhub install polymarket-trade

Polymarket aggregates crowd wisdom on future events — elections, economic indicators, company outcomes. With this skill, Claude can query current market odds, track price movements, and identify where the crowd is pricing in risk.

Workflow example: > "What are the current Polymarket odds on a Fed rate cut in Q3? How have they moved in the last week?"

This gives you a real-time sentiment signal that traditional financial data doesn't capture.

Stock Analysis — Fundamental + Technical in One

Install: clawhub install stock-analysis

This skill connects Claude to Yahoo Finance data, giving you access to:

• Real-time quotes and historical prices
• P/E ratios, revenue growth, profit margins
• Technical indicators (RSI, MACD, moving averages)
• Portfolio tracking and watchlists

Workflow example: > "Analyze TSLA vs RIVN on fundamentals. Which has better revenue growth and lower debt?"

Stock Watcher — Automated Alerts

Install: clawhub install stock-watcher

Set up a personal watchlist and get Claude to monitor it. Stock Watcher tracks price movements, volume spikes, and can alert you when conditions you define are met.

Workflow example: > "Add AAPL, MSFT, and GOOGL to my watchlist. Alert me if any drops more than 3% in a day."

Multi Search Engine — News and Sentiment

Install: clawhub install multi-search-engine

Real-time news is critical for trading. With Multi Search Engine, Claude can search for the latest news on any ticker, find analyst reports, and track earnings announcements.

Workflow example: > "Search for all news about NVDA earnings in the last 48 hours. What's the consensus?"

A Complete Morning Research Workflow

Here's how a trader might start their day with this skill stack:

Step 1: Market overview > "Check the current prices of my watchlist. Any significant moves overnight?"

Step 2: News scan > "Search for major market news from the last 12 hours. Any Fed announcements or earnings surprises?"

Step 3: Prediction market check > "What are Polymarket's current odds on any macro events this week?"

Step 4: Deep dive on a specific stock > "Give me a full analysis of AMD: current price, P/E vs sector average, recent news, and technical trend."

Step 5: Portfolio review > "Based on my watchlist, which positions are showing the most momentum? Which are underperforming?"

This entire workflow takes about 10 minutes with AI — versus 2+ hours of manual research.

Important Disclaimer

AI skills provide information and analysis tools — they don't make trading decisions for you. Always do your own research, understand the risks, and consider consulting a financial advisor before making investment decisions. Past performance of any skill or strategy doesn't guarantee future results.

Getting Started

Install the core finance pack:

clawhub install polymarket-trade stock-analysis stock-watcher multi-search-engine

Then explore the Finance & Investment rankings for more specialized tools.