Start with a stock, earnings report, macro signal, or market theme. nashnova breaks it into testable assumptions, supporting evidence, and signals to track—then brings in the right research agents.
Follow nashnova product updates, or start with a practical guide to reviewing a thesis, testing assumptions, tracking change, and refining your process.

Imagine this scenario: a U.S.-listed company just released its earnings report. Before the market opens the next day, you ask an AI investme

"Welcome to the AGI era"

Fill your holdings, focus themes, and investment rationale into a context template all at once, and AI can remember your research background across conversatio…

Shift individual investors' criteria for evaluating financial LLMs from "which is stronger" to "which failure modes are unacceptable," and provide a self-testa…

An investment avatar preserves a user's or analyst's research framework and judgment structure, enabling users to ask expert-level follow-up questions around t…

An Investment Research Agent isn't a tool that places trades for you — it's an AI research assistant that breaks investment research into a verifiable structur…
Each agent follows a distinct research framework. Bring several to the same question for company, supply-chain, macro, and portfolio views.






Follow the market's biggest narratives through the evidence, variables, and risks that could change them.

Higher capex and third-quarter guidance strengthen the AI demand signal, even as the N2 ramp weighs on near-term margins.

ADR liquidity, quant unwinds, and tighter Korean rules point to where the selloff stands—and what to watch next.

Meta's expansion, long-term accelerator commitments, and foundry capex reinforce demand and clarify the U.S.-listed beneficiaries.