A research assistant trained on the analytical workflow professional desks use

Structured analytical output — tables, charts, comparables, methodology citations — not freeform paragraphs.

IndexAlpha's research assistant handles fundamental comparisons, valuation drill-downs, portfolio-level analytics, and methodology lookups. Responses come as structured cards — tables, charts, comparable lists, risk-adjusted peer benchmarks — with auditable inputs and methodology surfaced alongside every analytical claim.

Key Takeaways

What is research assistant?

research assistant is a conversational analytical interface where you query the platform for fundamental, valuation, or portfolio-level analysis, and the system returns structured analytical cards — tables, charts, comparable lists — grounded in live market data and regulatory filings. Unlike a general-purpose chatbot, IndexAlpha's research assistant is constrained to analytical work product: every claim is backed by a visible methodology and a sourced input, not a hedged paragraph.

How does it work?

Step 1: Type your question

Open the chat and ask anything — "Should I be worried about tech stocks right now?", "Compare MSFT and GOOGL revenue growth", or "Explain P/E ratio in plain English". Don't worry about phrasing; the AI understands casual language.

Step 2: Wait 10–15 seconds

The AI pulls the relevant data, formats a clear answer, and generates any charts or tables that help explain it. Most responses arrive in under 15 seconds.

Step 3: Ask follow-ups

Everything stays in the same thread, so you can dig deeper — "What about their debt levels?" or "Show me the last 5 years of revenue". The AI remembers what you just asked.

Common questions

What does the research assistant handle?

Multi-stock fundamental comparisons, peer-relative valuation across a sector, portfolio-level analytics (sector concentration, factor exposure, dividend yield aggregation), methodology lookups (how a metric is calculated, what a result implies), and analytical drill-downs on any equity.

What does it not do?

It does not issue personalized buy/sell recommendations or forecast specific future prices. Every output is analytical work product — the underlying methodology and inputs are surfaced so you can interrogate the result.

How does pricing work?

The Starter tier includes a daily research allowance for evaluating the platform. The Investor tier raises the allowance for active research workflows and adds priority compute.

Does the assistant use live market data?

Yes. Prices stream live during market hours. Fundamental data sources from regulatory filings (SEC EDGAR for US, equivalents abroad) and refresh on each company's earnings cycle.

Can I export structured output?

Yes. Any chart or table can be exported as PNG, CSV, or PPTX for downstream use.

How does this compare to Bloomberg IB Chat or a general AI assistant?

Bloomberg's IB Chat is built for institutional traders, runs on a five-figure-per-seat terminal subscription, and assumes finance-desk vocabulary. ChatGPT and similar general-purpose assistants answer finance questions but lack live market data grounding — answers can lag actual filings by months. IndexAlpha's research assistant is purpose-built for stock and portfolio analysis, grounded in live regulatory data (SEC EDGAR) and Federal Reserve historical series, and returns structured analytical output — not freeform paragraphs.

Who is this for?

Beginners: If financial jargon makes your eyes glaze over, AI chat is the fastest way in. Ask "What's a P/E ratio?" or "Why did AMZN stock drop today?" and get an explanation that makes sense.

Intermediate investors: If you already know the basics, use AI chat to speed up comparative research — "Compare the debt ratios of the top 5 airlines" takes one prompt instead of 15 minutes of spreadsheet work.

Sources