Nashnova Documentation and Data Capabilities

1. Getting started

Open www.nashnova.com.
Sign in or create an account. Public material can be browsed without signing in; starting a conversation may require authentication.
Write an investment question in the home-page input, then press Enter or select Send. Use Shift + Enter for a new line.
Nashnova creates a conversation and places the answer on a dedicated page. Use the sidebar to revisit earlier work or begin a new thread.

Start with a concrete questionName the security or theme, the time horizon, your current view, and the risk you are most worried about. That usually produces a more useful research framework than entering only a company name.

2. Asking better questions

Company research

“Which variables drive NVDA's current growth, and what evidence over the next two quarters would invalidate the thesis?”

Earnings analysis

“Which parts of this earnings beat are repeatable, and which three statements from the call deserve continued tracking?”

Portfolio risk

“Which common factors are my holdings really exposed to, and where could the largest drawdown originate?”

Macro variables

“If real rates keep rising, how could the change transmit through gold, technology stocks, and the dollar?”

3. Research agents

The agent directory presents different research styles and methods. Each agent follows a defined framework—for example company quality, supply chains, macro cycles, commodity balances, or contrarian risk.

Review the questions an agent handles well and its typical outputs before using it.
Give the same question to several agents when you want independent angles and cross-checks.
Agents inspired by a person or institution are built from public materials. They do not represent that person's or institution's current views.

4. Skills

The skills directory turns recurring research tasks into structured workflows, including fundamental analysis, earnings review, portfolio diagnosis, risk scanning, and long/short debate.

Open the directory and select a research situation.
Choose “Try this skill” to place the workflow in the home-page input.
Add your security, portfolio, time horizon, or research objective, then send it.

5. Attachments and response modes

The input supports JPG, PNG, WEBP, and HEIC images.
You can add up to four images in one request, with a maximum size of 5 MB each.
Upload an earnings screenshot, chart, or portfolio image and explain what you want checked.
You can stop a response while it is being generated. After a network interruption, the product may attempt to recover an incomplete answer.

6. Daily briefings and ongoing monitoring

Daily Briefing collects generated briefs. After signing in, you can open briefing history from the sidebar and manage scheduled tasks in settings.

Open a brief and continue asking questions about the items inside it.
For a personalized update, specify the securities, frequency, and variables you want monitored.
Briefings provide information and supporting evidence. They do not make or execute buy or sell decisions.

7. Data and content capabilities

Nashnova brings together market data, news from markets worldwide—including China—research, earnings, trading signals, macro data, company relationships, and Web3 data. Its agent runtime turns those inputs into clear, reviewable research that can be updated over time.

Coverage, licensing, and copyrightThe data available to a specific answer depends on market coverage, update frequency, licensing, location, and product context. Nashnova uses public information, authorized content, or compliant data interfaces. For copyrighted or subscription-restricted material, processing is limited to permitted metadata, structured fields, compliant summaries, necessary short quotations, and links to the original source. Nashnova does not reproduce full protected works, bypass access controls, or replace the original material.

Capability	Coverage overview	Research value	Notes
Market data	Equities across supported global markets, including the United States, Hong Kong, mainland China, Japan, and South Korea, plus ETFs, indexes, FX, commodities, and crypto; minute-level updates where available.	Market alerts, intraday moves, quote cards, and market reviews.	Coverage and latency vary by market and license. Production feeds can be selected to meet regional compliance requirements.
China-market information	Chinese and multilingual news, financial information, regulatory releases, public rapid-news channels, and social sources relevant to China markets.	Company-event aggregation, event tracking, stock news, and editorial discovery.	Source availability follows authorization and the actual product experience; individual commercial source lists are not published.
Global news and professional content	Global financial and business coverage plus professional research material, with permitted titles, source type, time, original link, summaries, and limited quotations.	International context, event background, market narratives, and institutional-view synthesis.	Coverage changes with licensing, region, and product scenario. Restricted content is not republished in full.
Research intelligence	Authorized, public, or compliantly accessed multilingual research, organized into searchable sections and viewpoints.	Research summaries, comparisons across institutions, ratings, targets, assumptions, and risks.	Search may use institution type, security, industry, theme, keyword, and date; individual providers are not publicly enumerated.
Earnings data	Structured company financials, currently strongest for US-listed companies.	Revenue, profit, EPS, margins, expenses, cash flow, and period comparisons.	Coverage differs by issuer and filing schedule.
Earnings-call transcripts	Company calls searchable by ticker, fiscal year, and quarter where licensed or publicly available.	Management commentary, guidance changes, analyst questions, and risk-language tracking.	Outputs emphasize summaries, necessary quotations, and original-source access.
Unusual options flow	Large or unusual options trades and contract direction where available.	Sentiment checks, unusual-move investigation, and event interpretation.	A trade signal alone does not establish investor intent.
Dark-pool activity	US equity dark-pool and large-trade records where available.	Institutional-flow observation and intraday context.	Use as supporting evidence rather than a standalone conclusion.
Congressional transactions	Publicly disclosed U.S. congressional trading records.	Political-transaction tracking and event discovery.	Disclosure timing can lag the transaction date.
Insider transactions	Disclosures by officers, directors, and other insiders.	Governance signals, insider accumulation or selling, and event context.	Transaction purpose should be checked before drawing conclusions.
Macro data	Authoritative public or licensed global macro series, including inflation, growth, money supply, unemployment, and rates.	Macro alerts, impact analysis, and thematic charts.	Series availability and revisions follow the underlying data publisher.
Company relationships	Competitors, partners, ecosystem links, and selected supply-chain relationships.	Industry maps, company context, and competitive analysis.	Relationship type and effective date should be verified for material decisions.
Web3 data	Chain TVL, stablecoin supply, sentiment, yield pools, DEX volume, derivatives, and market snapshots.	Crypto briefings, on-chain flows, DeFi trends, and derivatives sentiment.	Digital-asset data can be volatile and venue-dependent.
Agent runtime	Conversation state, multi-turn research, tool execution, streaming, model routing, scheduling, and run tracing.	A reusable, observable foundation for financial agents and automated content workflows.	Available tools and models depend on deployment configuration.
Agent-generated content	Structured output assembled from market, news, earnings, calls, research, macro, and trading-signal tools.	Market alerts, move explanations, earnings drafts, research summaries, and editor-ready leads.	Generated output should be reviewed and checked against cited evidence.

8. Key data capabilities

1. Market data

Market coverage spans supported equity markets worldwide, including mainland China, as well as ETFs, indexes, foreign exchange, commodities, and crypto. Available interfaces can provide current quotes and historical bars, with minute-level updates for supported feeds.

Generate intraday market alerts and identify price, volume, and volatility changes.
Display quote context on articles or company pages.
Combine market moves with news, earnings, and research to investigate likely drivers.
Create pre-market, intraday, and post-market summaries.

Example: “NVDA is up more than 5% intraday. Summarize the move and check for relevant news, research changes, and unusual trading signals.”

2. News and information

Nashnova can search information relevant to markets worldwide, including China, across public media, financial publications, regulators, corporate releases, rapid-news channels, public social discussion, technology coverage, and authorized professional content. Search can use company, ticker, keyword, and time range.

Aggregate company news and track developing events.
Support stock-news drafts, editorial discovery, and article background.
Add global and local perspectives without reproducing protected source material.

3. Earnings and conference calls

Structured earnings capabilities are currently strongest for US-listed companies. Transcript coverage can be queried by ticker, fiscal year, and quarter where available.

Extract revenue, profit, gross margin, EPS, cash flow, and period changes.
Summarize management's discussion and the questions analysts emphasized.
Identify guidance changes, operating outlook, and shifts in risk language.

Example: “Summarize the latest quarter, explain the drivers of the revenue change, and list the management statements that should be checked next quarter.”

4. Research search and insight extraction

Nashnova can work with authorized, publicly released, or compliantly accessed research in multiple languages. Content may be structured into sections and retrieved by institution type, security, industry, theme, keyword, and date.

Global financial researchChina-market institutional researchIndustry studiesCompany deep divesMacro and strategyPublic research materialAuthorized professional analysis

Search for company, industry, theme, or institution-level views and changes.
Extract ratings, target prices, assumptions, upside cases, and risk factors.
Compare how several institutions frame the same company or sector.

5. Alternative data and trading signals

Where available, options flow, dark-pool activity, public disclosures of government officials' transactions, and insider transactions add context to US equity moves.

Identify unusual options trades and large off-exchange prints.
Track public disclosures by officials, executives, and directors.
Combine trading signals with prices, news, earnings, and research instead of treating them as standalone proof.

6. Macro and company relationships

Macro data covers commonly used global indicators from authoritative public or licensed databases. Company-relationship data covers competitors, partners, and selected ecosystem or supply-chain links.

Create macro-data alerts and explain market or industry transmission paths.
Build competitive maps, partner lists, industry-chain views, and company background.

7. Web3 data

Chain TVL: locked value across supported major chains and scaling networks.
Stablecoin supply: issuance and circulating supply across supported fiat-backed and synthetic stablecoins.
Market sentiment: fear-and-greed indicators and classifications.
DeFi pools: APY, project, chain, TVL, and impermanent-loss context.
DEX volume: 24-hour and seven-day volume and changes.
Derivatives: contract prices, funding rates, and open interest for supported assets.
Market snapshots: an aggregated view of price, derivatives, TVL, stablecoins, DEX activity, sentiment, and yield pools.

9. Agent runtime

The runtime can select and call market, news, earnings, transcript, research, macro, and capital-flow tools, then organize the results into readable, reviewable, and reusable output.

Capability	What it does	Product value
Conversation management	Manages conversation, message, and run lifecycles.	Supports multi-turn analysis, follow-up questions, and draft refinement.
Tool registration and execution	Registers financial tools through capability and plugin mechanisms and lets the agent choose among them.	Coordinates market, news, earnings, research, and trading-signal capabilities.
Multi-turn context	Reconstructs the transcript from event logs, preserving questions, tool calls, and answers.	Lets users add angles, narrow a question, and continue tracking the same event.
Streaming output	Streams both the research process and the answer.	Can show when the agent is checking news, market data, or research.
Financial tools	Connects supported market, news, earnings, search, transcript, and public-signal capabilities.	Supports alerts, earnings analysis, company-news workflows, and event research.
Scheduled agents and briefings	Runs scheduled research and briefing workflows.	Supports daily, pre-market, post-market, and thematic monitoring.
Model routing	Routes tasks according to complexity and deployment policy.	Balances quality, cost, and latency.
Run tracing	Records agent runs, tool calls, and model outputs.	Improves observability, debugging, and quality evaluation.
Deployable service	Supports standard APIs, containerized deployment, and backend-managed credentials.	Provides an extensible foundation for production financial agents.

Retrieval and facts

Search multiple sources, extract facts, identify important points, and preserve source links and citations.

Analysis and explanation

Compare views and combine prices, news, earnings, and capital signals into an event explanation.

Content workflows

Create research summaries, editorial material, and first drafts, then refine them in conversation.

Automated monitoring

Run scheduled briefings and lead alerts while keeping the process observable.

10. Typical outputs

Output	Example
Market alert	“The stock is up more than 5% intraday on higher volume; the relevant developments include…”
Move explanation	“The move may reflect a new order, an earnings revision, and unusual options activity.”
Earnings brief	“Revenue, profit, EPS, margins, and guidance changed as follows…”
Call summary	“Management focused on demand, margins, inventory, and capital expenditure.”
Research synthesis	“The main disagreement across institutions concerns valuation and the durability of growth.”
Market review	“Technology stocks were mixed, with AI, semiconductors, and cloud infrastructure diverging.”
Research leads	“These company events and follow-up questions deserve closer review based on developments in the last 24 hours.”
Scheduled brief	“Ten company, macro, and trading-signal developments to watch before the market opens.”
Iterative editing	“Add research viewpoints, necessary call quotations, and market reaction to this draft.”

11. Data and usage boundaries

Coverage, timeliness, and available fields differ by market, asset class, issuer, data license, region, and product plan.
Nashnova does not publicly list specific commercial data suppliers, media partners, research providers, or institutional customers.
Only public information, authorized content, and compliant interfaces may be used. Copyrighted or subscription-restricted material is not copied in full or used to bypass access controls.
Summaries and generated analysis may contain errors. Check timestamps, citations, company filings, and regulatory disclosures before relying on a material claim.
Research output is for information and analytical support. It is not investment advice, a promise of returns, or an automated trading instruction.

Start with a real research question

Enter the company, theme, or portfolio you are researching. Nashnova will turn it into a set of testable variables.

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From your first question to an always-on research system