Download nashnova App →
Blog/Getting Started
What are you really betting on? A portfolio checkup through a PM's lens

Guide

What Is an AI Investing Agent?

It does more than answer once. It turns a market question into a testable thesis, tracks the evidence, and keeps the research record up to date.

Updated Jun 20268 min read

In one sentence

Nashnova is a network of AI investing agents built for individual investors. It does not make decisions for you. It helps you define a thesis, track the evidence, and review how your view changes over time.

Individual investors often work without a clear process: the buy thesis stays vague, the risks remain implicit, and there is no record to review afterward. Nashnova brings research, monitoring, and post-trade review into one repeatable workflow.

The key differenceAn AI investing agent is not a one-off Q&A tool. It maintains an active research process around a company, theme, macro variable, or investing style.

The problems it solves

  • An unclear buy thesis: why exactly are you bullish on this company?
  • Unexamined risks: what would have to change to break your original thesis?
  • No ongoing tracking: are your reasons getting stronger, or weaker?
  • No post-investment review: why do the same mistakes keep recurring?

How new users get started

Set your investing profile

Share the sectors you follow, your risk tolerance, your goals, and the drawdown you can accept.

Ask your first question

For example: “I'm bullish on Nvidia — help me break down the thesis.”

Use a research Skill

Build the analysis from fundamentals, earnings, holdings, macro data, and market signals.

Choose an agent or briefing

Use different research frameworks, or schedule regular updates on your holdings and themes.

Try asking

  • I'm bullish on Nvidia — break my thesis into metrics I can verify.
  • What's the biggest risk in my portfolio? What signals would tell me my thesis is weakening?
  • Did this company's earnings beat or miss expectations?
  • Set up a daily morning briefing on AI infrastructure for me.

How the agent keeps running

Suppose you are bullish on a company. Nashnova helps turn that view into measurable assumptions, then tracks whether the evidence is strengthening or weakening each one.

  1. Define the thesis: identify the revenue, margin, order, supply-demand, valuation, macro, and risk assumptions behind it.
  2. Track what changes: follow new evidence across your holdings, companies, industries, macro variables, and themes.
  3. Review and refine: keep a record of changing assumptions and outcomes so the research process improves over time.

What compounds over time

As more theses are structured and tested, Nashnova builds a connected record of assumptions, evidence, and outcomes. Over time, that record makes it easier to see which frameworks work best for which kinds of questions.

Start asking Nashnova

Start with your next market question and turn it into assumptions you can test.

Ask Nashnova →