How to Choose an AI Investment Research Platform
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Choose an AI investment research platform by testing the research tasks you actually perform: finding evidence in filings, checking financial figures, comparing companies, analysing earnings, screening candidates, reviewing portfolios, and exporting work. Price and feature lists matter, but evidence quality and workflow fit matter more.
Key Takeaways
- AI is a research aid, not a guarantee of investment performance.
- Verify material financial claims against current primary sources.
- Record source dates, data periods, assumptions, and limitations.
Define the job before comparing products
Decide whether you need filing retrieval, dashboards, screening, portfolio analytics, earnings research, natural-language synthesis, or a combination. Different products optimise for different jobs.
Test evidence and freshness
Use a small fixed test set. Record whether each tool finds the right document, uses the correct period, cites the source, and acknowledges uncertainty.
Deepen your research
Text Ecomerate's AI Analyst in iMessage to screen stocks, read SEC filings and watch your holdings for news that matters.
Get started →Compare plan limits honestly
Record current query limits, data access, export rules, user limits, and plan prices with an observation date. Do not assume that a free tier or a headline price includes every workflow.
Make a task-based decision
Select the platform that performs your highest-value tasks reliably and transparently. Re-test after material product or pricing changes.
Sources and methodology
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