nashnova

Editor Review

Put the security, the time horizon, your current view, and the risk you worry about most into the question instead of sending only a company name. Company, earnings, and macro questions can stay separate. To change the angle, give the same question to several research avatars, such as a macro framework or an earnings framework, and remember that an avatar is not the person. Recurring steps start from the skills directory, then you add the security or the portfolio. For ongoing watch, turn on the daily briefing and a scheduled task and name the securities, the frequency, and the variables. An earnings screenshot or a chart can be attached to the conversation. It fits individual investors doing their own Hong Kong, US, and cross-market research. Figures should be checked against the original text and are not buy or sell instructions.

AI Tools Navigator Editorial TeamUpdated: 2026-10-09

What is nashnova

nashnova is operated by CMCF Limited in Hong Kong and works as a research assistant. The homepage starts from a stock, an earnings report, a macro variable, or an investment theme, breaks the question into judgments that can keep being tracked, and keeps watching when the market moves. The docs ask you to name the security, the time horizon, your current view, and the risk you worry about most. It then splits that into testable assumptions, evidence, and signals, and calls a research avatar. Avatars are built from public material. The site says an avatar is not the person and does not represent that person's current views. Skills include fundamentals, earnings, portfolio diagnosis, risk scans, and long-short debate. Market data covers US, Hong Kong, mainland China, Japan, and Korea equities, plus ETFs, indexes, foreign exchange, commodities, and crypto. What is actually available depends on licensing. It provides research support. It does not provide personalized investment advice and it does not place orders.

nashnova Key Features

Split a question into judgments to track

Start from a stock, an earnings report, a macro variable, or a theme, and split it into testable assumptions, evidence, and signals to keep watching.

Call avatars by framework

The avatar directory is organized by frameworks such as company quality, supply chains, and macro cycles. One question can be given to several avatars for a cross-check.

Turn research steps into skills

Fundamentals, earnings review, portfolio diagnosis, risk scans, and long-short debate can be selected as skills, then filled in with a security, a portfolio, and a horizon.

Briefings and scheduled watch

After sign-in you can open daily-briefing history and schedule tasks by security, frequency, and variable. A briefing does not place a buy or a sell.

Markets, news, and earnings

It can call market data, news, earnings, and call summaries. Structured earnings are currently strongest for US listings, and coverage depends on licensing.

nashnova Key Advantages

A question is split into assumptions, evidence, and signals to keep tracking, rather than a single concluding sentence

Research avatars are built from public material, and one question can be given to several frameworks for a cross-check

Fundamentals, earnings, portfolio diagnosis, risk scans, and long-short debate can be selected as ready-made skills

Daily briefings and scheduled tasks can keep watching securities and variables, and an earnings or chart screenshot can be attached

nashnova Use Cases

An investor breaks down one stock

An individual investor asks which variables drive growth and what evidence over the next two quarters would overturn the current view, then has the signals to track listed.

Check management comments after earnings

After earnings, split the result into what can repeat and what is one-off, and mark three statements from the call that should be checked again next quarter.

Use different avatars on a macro question

Give the question of how rising real rates could pass through gold, technology stocks, and the dollar to several research avatars, and compare their frameworks instead of reading one answer.

Frequently Asked Questions

▶Will nashnova tell me whether to buy or sell?

No. Both the homepage and the docs say it provides market intelligence and research support, not personalized investment advice, and it does not place buys or sells. A research avatar is also not the person it draws on and does not represent that person's current views. You can keep asking about a daily briefing, but it still only supplies information and evidence. Check citations and original disclosures yourself. Generated content can be wrong.

▶How should research avatars and skills be chosen?

Avatars are separated by framework, such as company quality, supply chains, macro cycles, or commodity balances. The directory also includes viewpoints such as Fu Peng's financial world. Read the questions an avatar handles well and its typical outputs before using it. For a cross-check, give the same question to several avatars. For a repeated process, open the skills directory, choose one, add the security, portfolio, horizon, or research goal to the input, and send it. Some avatars are marked as an early test.

▶Which markets and earnings can it look at?

The docs list equities in the United States, Hong Kong, mainland China, Japan, and Korea, plus ETFs, indexes, foreign exchange, commodities, and crypto. News can also cover material relevant to China markets. Structured earnings are currently strongest for US listings. Call transcripts can be searched by ticker, fiscal year, and quarter when they are licensed or public. Whether a specific company is available depends on licensing and the update schedule. There is no single latency promise.

nashnova

Editor Review

What is nashnova

Basic Info

Best For

nashnova Key Features

nashnova Key Advantages

nashnova Use Cases

Frequently Asked Questions

Latest News

User Reviews

Seele AI

Skywork

Flowith

Manus

Operator

金灵AI

星辰Agent

MasterAgent

nashnova

Editor Review

What is nashnova

Basic Info

Best For

nashnova Key Features

nashnova Key Advantages

nashnova Use Cases

Frequently Asked Questions

Latest News

User Reviews

Related Tools

Seele AI

Skywork

Flowith

Manus

Operator

金灵AI

星辰Agent

MasterAgent