I used AlphaSync to analyze AAPL in about three minutes, and the point of this walkthrough is the process, not a verdict: submit the ticker, three AI analysts read the SEC filings and price data in parallel, a lead analyst writes one report, and every claim links back to a filing or data point I can open myself. That last part is the whole reason the result is research and not a guess.
This is a demo of the workflow using Apple as the example, because AAPL is the default sample on the Analyze page. I'm going to show you what happens, step by step, and how to verify the output yourself. I'm not going to tell you what to think about Apple, and you shouldn't expect a recommendation. That's not what this tool does.
Step 1: enter the ticker
On the Analyze page, I enter AAPL and hit run. There's no configuration to fiddle with, no parameter tuning, no finance jargon to pick from. You submit a US ticker and the pipeline starts.
Step 2: three analysts run in parallel
AlphaSync doesn't generate one stream of text; it runs three specialized analysts at the same time, and each one has a different job.
- Fundamental analyst. Pulls the latest 10-K, 10-Q, and 8-K from SEC EDGAR and extracts revenue, margins, cash flow, and segment data into a normalized structure.
- Technical analyst. Reads price history and trading volume, computing trend, momentum, and volatility indicators against a 15-minute delayed quote feed.
- Sentiment analyst. Scans news and social signals, filters the noise, and weights sources by credibility.
Step 3: the lead analyst synthesizes
A lead analyst takes the three streams and writes a single structured report. The value here is that the three views aren't pasted together; they're reconciled into one picture, with the fundamental facts as the backbone and the technical and sentiment views as context.
Step 4: verify every claim
This is the step I actually care about. Each claim in the report links back to a specific filing or data point. If the report says revenue moved a certain way, I can click through and land on the exact section of the 10-K or 10-Q where that number lives. If it describes a trend, I can see the price data behind it. Nothing is asserted on faith.
What the report looks like
The output is a structured document, not a wall of text: the fundamentals with their sources, the technical picture with the indicators, the sentiment read with its weighted signals, and a synthesis section. You can open any citation and check the underlying document yourself. That's the difference between a research tool and a confidence generator.
The point of the demo
The three minutes buy you the reading and the structuring, not the judgment. What you're left with is a verified foundation: the facts, sourced, organized, and ready for you to apply your own view. Whether that's enough for you to act, and how, is entirely your call. No tool should make that decision for you.
If you want to understand the source-reading behind this, How AI Analysts Read SEC Filings opens up the pipeline. And How to Research a Stock in 10 Minutes shows the manual workflow this replaces.
Run the same process on any ticker
Enter any US ticker and get a structured, cited report in about three minutes. Start with the AAPL sample to see how it works.
Try the AAPL Sample See PricingRelated reading: AI vs Human Stock Research covers where the AI ends and your judgment begins. 3 Metrics to Check Before Every Earnings Call is a sharp use of the same report. Browse all posts on the AlphaSync blog.
This article is for educational purposes and is not investment advice. It contains no buy/sell/hold recommendations, no price targets, and no return promises. AAPL is used as a sample for demonstration only. Always verify figures against the original filings and do your own research.
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