How to Research Any Stock in Under 60 Seconds Using AI

The Old Way Takes Hours. The New Way Takes 60 Seconds.

Traditional stock research looks like this:

1. Open your brokerage app and look at the price chart (2 minutes)
2. Google "[company name] financials" and navigate to a data site (3 minutes)
3. Scan the income statement, balance sheet, and cash flow statement (15 minutes)
4. Calculate key ratios - P/E, P/B, debt-to-equity, ROE (10 minutes)
5. Search for recent news articles about the company (10 minutes)
6. Read analyst opinions from various sources (15 minutes)
7. Check what Reddit and social media are saying (10 minutes)
8. Look at technical chart patterns and support/resistance levels (15 minutes)
9. Try to synthesize everything into a coherent view (20+ minutes)

Total: 1.5-2 hours per stock. And at the end, you're still not sure if you missed something.

Here's how the same research works in Barebone AI.

Step 1: Ask Your Question (5 seconds)

Open Barebone AI and type your question in natural language. Examples:

• "Is NVIDIA a good long-term investment?"
• "Should I buy Apple at this price?"
• "Compare Tesla vs Rivian"
• "What's happening with Amazon stock?"
• "Is the semiconductor sector overvalued?"

Or select one of 20+ specialized Skills from the Skill Library. Each Skill is a dedicated research agent:

• "Is This a Great Company" - deep fundamental analysis
• "When to Buy and Sell" - algorithmic entry/exit points
• "Valuation Check" - DCF model and peer comparison
• "What Investors Are Saying" - multi-source sentiment

The AI understands context, extracts relevant tickers, and automatically determines the best analysis approach.

Step 2: Watch the 6-Stage Analysis Stream (30-45 seconds)

The moment you hit send, Barebone's research pipeline begins streaming results in real-time. You watch the analysis build, stage by stage:

Stage 1: Research Status

The AI identifies your intent, extracts ticker symbols, and plans its analysis approach. You see which data sources it's querying and which analytical framework it's deploying.

Stage 2: Quick Understanding

A rapid summary appears - the key facts you need to know immediately. This is the "elevator pitch" version of the analysis.

Stage 3: Financial Data

Live prices, key financial metrics, and an interactive stock chart populate on screen. You see:

• Current price and daily change
• P/E ratio, market cap, EPS
• Revenue and earnings growth rates
• Interactive chart with 1D, 1W, 1M, 3M, 6M, 1Y, and 5Y views

Stage 4: News & Web Research

A timeline of recent news appears with source links. The AI identifies the most relevant stories and their market impact.

Stage 5: Deep Analysis

This is the core output. Depending on the Skill or question type, you receive:

• Charts: Bar charts, radar charts, donut rating charts, gauge meters, comparison charts
• Ratings: Dimensional scores (0-10 scale) for growth, quality, health, valuation
• Tables: Detailed financial data organized for quick scanning
• Technical levels: Support/resistance with entry points and stop-losses
• Valuation: DCF intrinsic value, analyst consensus, peer multiples
• Written analysis: A structured investment thesis with bull case, bear case, and risk factors

Stage 6: Follow-Up Suggestions

3-5 deeper research questions appear, contextualized to your initial query. Examples:

• "How does NVIDIA's valuation compare to AMD and Intel?"
• "What are the key risks to NVIDIA's data center growth?"
• "When is NVIDIA's next earnings report and what are expectations?"

Tap any follow-up to immediately launch a new analysis. The full conversation history is preserved, so the AI builds on prior context.

What You Get vs. What a Wall Street Analyst Produces

A junior analyst at Goldman Sachs produces an initiation report with:

• Company overview and investment thesis ✓
• Financial model and key metrics ✓
• Valuation analysis (DCF, comps) ✓
• Risk factors ✓
• Price target ✓

Barebone AI's output includes all of the above, plus:

• Interactive charts (15+ types) that the analyst's PDF can't replicate
• Real-time data (the analyst's report uses data that's days old by publication)
• Technical analysis with algorithmic entry/exit levels (most fundamental analysts don't do technical work)
• Multi-source sentiment aggregation (analyst reports only reflect the authoring firm's view)
• Follow-up research capability (the report is static; the AI conversation continues)

The 20+ Skills for Every Research Need

Different questions need different analytical frameworks. Barebone's Skill Library covers every major type of investment research:

Fundamental Analysis:

• "Is This a Great Company" - Warren Buffett-style deep value analysis
• "Valuation Check" - Multi-method fair value calculation
• "Price Target Calculator" - DCF + analyst consensus fair value
• "Long-Term Outlook" - Multi-year trajectory assessment
• "Best Case & Worst Case" - Bull vs bear scenario analysis

Technical Analysis:

• "When to Buy and Sell" - Proprietary multi-timeframe algorithm
• "Key Price Zones" - Support/resistance with Fibonacci extensions

Market Intelligence:

• "Turn News into Trading Ideas" - Event-driven stock discovery
• "What Investors Are Saying" - Multi-source sentiment
• "What's Moving" - Unusual volume scanner
• "Hot Right Now" - Social + market trend tracker
• "Earnings Winners & Losers" - Post-earnings analysis

Comparison:

• "Which Stock is Better" - Head-to-head across 5 dimensions
• "Valuation Battle" - Multi-stock valuation comparison

Portfolio:

• "Deep Portfolio Scan" - 5-agent portfolio analysis
• "Risk Assessment" - Diversification and correlation check
• "Portfolio Balancer" - Diversification improvement suggestions

Discovery:

• "Find Dividend Stocks" - Income stock screening
• "Long-Term ETFs" - ETF recommendations

Each Skill has its own dedicated data pipeline, analysis engine, and output format. These aren't generic prompts - they're specialized financial research agents.

Personalized to Your Level

The same analysis adapts to your proficiency setting:

Beginner: Every financial term is defined. Jargon is replaced with plain language. The analysis reads like a patient financial mentor explaining concepts.

Intermediate: Financial terminology is used with brief context. Analysis assumes working knowledge of investing concepts.

Advanced: Goldman Sachs trading desk-level analysis. Penetrating interpretation, immediately actionable insights, contrarian framing, quantified impact assessments.

Set your level once in Research DNA, and every analysis across every Skill adjusts accordingly.

60 Seconds vs. 2 Hours

The math is simple:

• Traditional research: 1.5-2 hours per stock, limited to data sources you can manually access
• Barebone AI: 30-60 seconds per stock, pulling from 67+ institutional data endpoints with proprietary algorithms

That's not just faster. It's a fundamentally different research capacity. You can now evaluate 20-30 stocks in an afternoon. You can run comparative analyses in seconds. You can respond to breaking news with rigorous analysis instead of reaction.

The 60 seconds you spend watching the AI analysis stream is more comprehensive than the 2 hours you'd spend doing it manually. That's not a marginal improvement - it's why 50,000 investors have made Barebone AI their primary research tool.

Open the app. Type a ticker. Watch your research process transform.