How to Research a Stock with AI

A successful stock research process begins with clear scoping. Rather than asking a broad question like 'Tell me about Apple,' specify the context, timeframe, and area of interest:

'Research Apple’s latest quarterly earnings, focusing on Services revenue growth, iPhone unit trends in China, and primary gross margin drivers. Include sources.'

Specific framing allows the autonomous agent to target the exact sections of SEC filings and investor relations releases needed for a high-signal report.

Examine where the company’s operating income actually originates. For diversified enterprises, a single headline revenue number hides critical dynamics.

Ask Trezable to break down revenue by segment and geography. Identify which business units are expanding margins and which are contracting, and evaluate whether growth is driven by volume, pricing power, or acquisitions.

Earnings releases and subsequent conference calls contain crucial forward-looking commentary. Have Trezable summarize management’s guidance statements, capital expenditure expectations, and inventory levels.

Pay close attention to revisions in guidance versus prior quarters, and review free cash flow conversion rates to ensure reported GAAP net income is supported by actual cash generation.

Every investment thesis must account for downside scenarios. Instruct Trezable to review the 'Item 1A: Risk Factors' section of the company’s most recent 10-K filing.

Focus on regulatory headwinds, supplier concentrations, foreign exchange volatility, and debt maturity schedules. Trezable highlights potential red flags so you can weigh risk against expected return.

Never accept an AI research finding without verifying its underlying source. Trezable includes clickable source citations linking to original filings and news releases.

Click through to confirm key numbers, review unresolved questions that management did not address on the earnings call, and synthesize the findings into your personal research log.