The report an analyst would take a week to write
Deep Research is the flagship: type a ticker and the platform assembles the full institutional workup — a decisive verdict with a 12-month base-case target, the AI investment thesis with bull and bear cases and catalysts, smart-money 13F flows, insider transactions, short interest, options positioning, and the macro and geopolitical risks that frame it all.
Every claim is grounded in that company’s live numbers — not a chatbot’s recollection of old training data. And the difference you won’t find anywhere else: the platform’s systematic calls are logged and graded against the S&P 500 in public, so you can check whether the process actually works before you trust it.
Frequently asked questions
How is this better than asking ChatGPT about a stock?
Three ways: the analysis is computed from the company’s live fundamentals and market data rather than stale training data; it includes datasets a chatbot cannot see, like current 13F flows, insider trades, short interest and options positioning; and our calls are graded against the S&P 500 on a public track record, so the accuracy is verifiable rather than asserted.
Which stocks does Deep Research cover?
Any US-listed stock — the report is assembled on demand from live data, so coverage is not limited to a pre-written list.
Is this financial advice?
No. Deep Research is an analytical tool that organises evidence and the model’s read of it. It is research to inform your own judgement, and every report says so.
TradersQuant provides research and educational tools only — model outputs are estimates, not guarantees or personalised financial advice. Every systematic call we make is graded against the S&P 500 on our public track record.