AI stock research: bring a thesis, get the evidence
Describe an investment idea in plain English and AgentTrading assembles the fundamentals, backtests the testable core on 20+ years of data, and explains the risks, in one auditable pass.
- 1 THESIS
- 2 EVIDENCE
- 3 BACKTEST
- 4 RISK
- 5 VERDICT
02 EVIDENCE · FUNDAMENTALS
04 RISK · IN PLAIN ENGLISH
Sample scenarios, not a live backtest of what you typed. Past performance does not guarantee future results. Educational analysis only, not financial advice.
In short
AI stock research starts from your thesis rather than a screener: you describe the idea in plain English, and AgentTrading assembles the evidence, runs the backtest, and explains the risks in one pass. The manual loop it replaces is familiar: a screener, ten filings, and a spreadsheet backtest, roughly 4 to 6 hours per idea. AgentTrading runs the same loop in minutes and logs every assumption (date range, parameters, 0.1% cost per trade by default) so you can defend the result later. The backtest covers 20+ years of split- and dividend-adjusted daily data, and the verdict is honest by design: when a thesis underperforms buy-and-hold, it says so. That makes it the opposite of a signal feed. Trade Ideas ($127 per month for TI Standard, $254 for the TI Premium tier that actually includes Holly, or $89 and $178 billed annually) streams machine-picked trades you never asked about; AgentTrading tests the ideas you actually have and never executes anything. Plans start at $19 a month, with a shared, auditable analysis trail for research teams on Enterprise. For the professional vocabulary of the same job, coverage, comps, models and memos, see AI equity research. Educational analysis only, not advice: past performance does not guarantee future results, and the conclusion is always yours to draw.
Past performance does not guarantee future results. For educational and informational purposes only. Not financial advice. Consult a licensed advisor.
WHAT YOU GET - AI STOCK RESEARCH
AI stock research, run on the bench
Your thesis, not a feed
Research starts from the idea you already have. No scanner firehose, no machine-picked trades arriving uninvited, no scores without reasons attached.
One pass, whole loop
Fundamentals summary, rule extraction, 20-year backtest, and risk panel in a single run. The manual loop it replaces takes 4 to 6 hours per idea.
An audit trail you can defend
Every run logs its assumptions: date range, parameters, the 0.1% default cost per trade. Weeks later you can still show exactly what was tested and why.
Weak ideas die cheaply
A thesis disproven in minutes costs you nothing but the run. Killing weak ideas early is the quiet job of honest research, and the bench does it without ceremony.
HOW IT WORKS - 4 STEPS
From a sentence to a stamped verdict
Describe the thesis
"Chip demand keeps NVDA above its trend" or any plain-English idea. The bench extracts what is testable and shows it to you first.
Review the evidence
The fundamentals that bear on the thesis stream in, each one concrete and checkable, with at least one risk flag included.
Backtest the testable core
The extracted rule runs on 20+ years of split- and dividend-adjusted daily data with every assumption printed on the result.
File the verdict
HELD UP, MIXED, or UNDERPERFORMED, plus the risk panel. Export to PDF on Analyst and the reasoning travels with the conclusion.
Past performance does not guarantee future results. For educational and informational purposes only. Not financial advice. Consult a licensed advisor.
On the same bench
Research runs the whole bench in one pass: AI stock analysis covers the evidence station and backtesting software covers the history. Analysts who work in the professional vocabulary, coverage and comps and memos rather than tickers, should read AI equity research tools and platforms, and the evidence on where that job is heading is in will AI replace equity research analysts. Teams that need one auditable process should read the equity research tools for teams page, and anyone leaving a signal feed should start with the Trade Ideas alternative.
QUESTIONS - ASKED AND ANSWERED
AI stock research: the common questions
What is AI stock research?
AI stock research starts from your thesis instead of a screener: you describe an investment idea in plain English, and the tool assembles the fundamentals, runs a backtest, and lists the risks in one pass. AgentTrading logs every assumption so the result is checkable later. It is educational analysis, not advice.
Can AI do stock research?
Yes, for the parts that have a source to check: reading filings, comparing figures across periods, extracting a testable rule, and running it on 20+ years of adjusted daily data. It cannot predict prices, and general chatbots invent numbers. AgentTrading wires real data behind the reading so each claim is verifiable.
Is AI good for investment research?
It is good when it saves the 4 to 6 hours a manual loop takes (a screener, ten filings, a spreadsheet backtest) and honest when a thesis fails. AgentTrading stamps an honest verdict, including UNDERPERFORMED when the idea trails buy-and-hold. The conclusion stays yours to draw.
How is AI research different from a stock screener?
A screener filters a universe by criteria you set and hands you a list. AI research starts from an idea you already have, gathers the evidence for and against it, and tests the rule at its core. One finds candidates; the other pressure-tests a specific thesis and explains the result.
Past performance does not guarantee future results. For educational and informational purposes only. Not financial advice. Consult a licensed advisor.
Your next idea deserves a verdict, not a hunch.
Bring a thesis or a ticker. AgentTrading restates the rule, shows the evidence, runs 20+ years of history, and stamps an honest verdict. You decide.
Past performance does not guarantee future results. For educational and informational purposes only. Not financial advice. Consult a licensed advisor.