Institutional analysis,
no paywall.
  • 20+ technical indicators
  • SEC EDGAR fundamentals
  • Risk metrics over time
  • 320 US tickers covered
  • Free forever
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    Data ProcessingTransforming
    1 { 2 "ticker": "AAPL", 3 "filingType": "10-K", 4 "income": { 5 "revenue": 383285000000, 6 "netIncome": 99803000000, 7 "eps": 6.43 8 }, 9 "normalized": true 10 }
    Transformation Script
    1 async function process(t) { 2 const raw = await edgar.fetch(t); 3 const norm = normalize(raw); 4 return export({ json,excel }); 5 }
    SEC EDGAR Intelligence · Free to use

    Institutional analysis,
    no paywall.

    Every tool you need to analyze a stock — technical indicators, risk metrics, SEC fundamentals — available instantly, without signing up.

    20+
    Technical indicators
    7+
    Risk metrics tracked over time
    320
    US tickers covered
    0$
    Cost to get started
    Platform

    Every tool
    in one place.

    From price action to balance sheets. No sign-up walls, no paywalled metrics.

    Technical Analysis

    RSI, MACD, Bollinger Bands, OBV, CCI — interactive time-series with interpretation panels.

    Risk Metrics

    Sharpe, Sortino, Max Drawdown, VaR, Beta and Alpha — tracked over time, not as single numbers.

    SEC Fundamentals

    10-K and 10-Q filings structured into income, balance sheet, and cashflow tables with 5-year trends.

    Momentum Suite

    ADX, Stochastic, Williams %R, ROC — a full suite for trend strength and reversals.

    Stock Screener

    Filter by fundamentals, technicals, and risk metrics simultaneously to surface the right opportunities.

    Insight Chart

    SMA, EMA, Bollinger Bands overlays, volume bars, scroll-to-zoom — all on one precision canvas.

    SEC EDGAR

    Filings,
    structured.

    10-K and 10-Q filings parsed, normalized, and displayed as clean tables and charts.

    nivvuro — edgar.financials · live query
    TickerCompanySectorRevenue (TTM)Net MarginP/EFree CFΔ 30d
    AAPLApple Inc.Tech$383.3B26.4%28.9$99.6B+4.2%
    MSFTMicrosoft Corp.Tech$227.6B35.8%34.2$70.1B+6.7%
    JPMJPMorgan ChaseFinance$158.1B31.2%12.1−1.8%
    JNJJohnson & JohnsonHealth$88.9B18.6%16.4$14.2B+1.1%
    Data Products
    Datasets

    Raw data.
    Buy once or subscribe.

    Structured, normalized datasets from SEC EDGAR, FRED and ECB — ready for your model, spreadsheet, or newsletter. One-time purchase or auto-updating subscription.

    Popular
    USA · SEC EDGAR
    Single Ticker
    Fundamentals

    Full 5-year fundamental dataset for one company of your choice — income, balance sheet, cashflow, normalized.

    JSONExcel5Y Annual1 Ticker
    Best Value
    USA · SEC EDGAR
    US Mega Bundle

    All 320 covered US tickers, 5 years of annual data. Income, balance sheet, cashflow — ready to query.

    JSONExcel320 Tickers5Y Annual

    More datasets
    on the data page.

    EU macro data from ECB, multi-ticker bundles, quarterly filings — browse the full catalogue with filters by region and category.

    Browse all datasets → One-time purchase or subscription · Instant download

    Stop guessing.
    Start analyzing.

    No account required. No payment. Open the dashboard and start immediately.

    Free forever · SEC EDGAR data · No tracking

    Data & Pricing

    Clean data.
    Your choice of terms.

    Fundamental and macroeconomic datasets — structured, normalized, ready to use. Buy once and own it, or subscribe to get every update automatically.

    Instant downloadJSON + ExcelOne-time or subscriptionSEC EDGAR · FRED · ECB
    Instant delivery
    Download link after purchase
    Own it, or stay current
    One-time purchase or auto-updating subscription
    Two formats
    JSON for devs, Excel for analysts
    Official sources
    SEC EDGAR · FRED · ECB
    📄
    Not sure yet? Download a free sample.
    AAPL — 5-year fundamentals · 3 rows · JSON + Excel · 0€
    Download free sample →
    Category
    Region
    Fundamental Data · SEC EDGAR
    Popular
    USA · SEC EDGAR
    Single Ticker Fundamentals

    Full 5-year annual fundamental dataset for one US company of your choice — income, balance sheet, cashflow, normalized and ready to use.

    JSONExcel5Y Annual1 Ticker
    Best Value
    USA · SEC EDGAR
    US Mega Bundle

    All 320 covered US tickers, 5 years of annual data. Income, balance sheet, cashflow — ready to query. Pre-computed ratios included.

    JSONExcel320 Tickers5Y Annual
    USA · SEC EDGAR
    US Starter Pack

    10 well-known US companies across tech, finance, healthcare and consumer — 5 years of annual fundamentals. The cheapest way to get a real multi-company dataset for a thesis or first project.

    JSONExcel10 Tickers5Y Annual
    USA · SEC EDGAR
    US Tech Sector Pack

    50 US technology tickers — hardware, software, semiconductors, internet — 5 years of annual fundamentals with pre-computed ratios. Built for sector comparisons and newsletter charts.

    JSONExcel50 Tickers5Y Annual
    USA · SEC EDGAR
    US Finance Sector Pack

    40 US banks, insurers and financial services tickers — 5 years of annual fundamentals with pre-computed ratios. Built for sector comparisons and credit-cycle analysis.

    JSONExcel40 Tickers5Y Annual
    National Primary Sources (Top 20)
    Primary Source
    USA · FRED (St. Louis Fed)
    US Fed Deep-Dive

    Detailed time series for NFP labor data, Fed Funds Rate, and Real GDP growth.

    LaborMonetaryDaily
    China · NBS
    China Industrial Engine

    Focused on economic growth and industrial production of the world's second-largest economy.

    ProductionGDP
    High Precision
    Germany · Destatis (Genesis)
    Germany Industry Pulse

    Specific indicators: Truck Toll Mileage index and detailed industrial energy data.

    LogisticsEnergyAPI
    Japan · e-Stat / Bank of Japan
    Japan Liquidity & Inflation

    Central bank data on global liquidity, Yield Curve Control, and Japanese CPI.

    FXLiquidity
    UK · Office for Nat. Stats
    UK Trade & Labor

    Monitoring trade balances, post-Brexit inflation trends, and the British labor market.

    TradeInflation
    India · Reserve Bank of India
    India Emerging Growth

    Macro indicators for Asia's fastest-growing major market – Focus on CPI and GDP.

    EmergingGrowth
    S. Korea · Bank of Korea (ECOS)
    Korea Tech Trade Index

    Global leading indicator for the tech sector, semiconductors, and electronic exports.

    Tech-ProxyExports
    Australia · ABS
    Resources & Commodity Cycles

    Primary indicator for raw material cycles (Iron Ore, Coal) and mining investments.

    CommoditiesMining
    France · INSEE
    France Consumption & Sentiment

    Real GDP drivers, CPI & Core inflation, consumer sentiment tracks, labor metrics, and aggregated corporate profits.

    Excel + JSON10Y History15 Core SeriesFiling Update
    Brazil · BCB (Central Bank)
    Brazil Emerging Benchmark

    GDP expansion tracks, IPCA inflation indices, Selic policy rates, industrial output, and corporate financial filings.

    Excel + JSON10Y History15 Core SeriesFiling Update
    Switzerland · FSO / SNB
    Swiss Safe Haven Monitor

    CHF liquidity frameworks, CPI price trends, real GDP, banking sector assets, and aggregated corporate earnings.

    Excel + JSON10Y History15 Core SeriesFiling Update
    Singapore · SingStat
    Singapore Trade Hub

    Global trade & freight volumes, financial corridor metrics, GDP components, CPI inflation, and corporate filings.

    Excel + JSON10Y History15 Core SeriesFiling Update
    Italy · Istat
    Italy Manufacturing & Debt

    Industrial production indices, sovereign debt structures, real GDP, CPI/PPI metrics, and corporate profits.

    Excel + JSON10Y History15 Core SeriesFiling Update
    Global Super-Providers (All-in-One)
    IMF (International Monetary Fund)
    Monetary & FX Intelligence

    Precise data on exchange rates, public finance, and global liquidity. Maximum clarity and standardization.

    FX DataGovernanceCleaned
    OECD Data Explorer
    Developed Nations Core

    In-depth economic indicators for the 38 leading industrial nations + partners (Brazil, India).

    OECD 38High Fidelity
    Why Nivvuro

    Why not just use
    SEC EDGAR directly?

    Raw EDGAR is XBRL

    SEC filings are raw XBRL — inconsistent tagging across companies and years, missing fields, and formats that require parsing expertise to use.

    EDGAR raw
    XBRL tags inconsistent
    Fields missing or null
    Needs parsing library
    Nivvuro
    Normalized field names
    Gaps filled or flagged
    Open in Excel or Python

    Hours vs. seconds

    Fetching, parsing, and cleaning a single company's 5-year filing history from EDGAR takes hours. Nivvuro delivers it as a clean file in seconds after purchase.

    DIY
    4–8 hrs setup per company
    Manual schema mapping
    Breaks on filing updates
    Nivvuro
    Instant download
    Standard schema
    Updated quarterly

    No API costs

    Alternatives like Financial Modeling Prep or Intrinio start at $99/month. Nivvuro sells the data you actually need, once, for under €60. No monthly commitment.

    API services
    $99–$299/month
    Rate limits per plan
    Lose access if cancel
    Nivvuro
    €2–€60, once
    No rate limits
    Yours forever
    Use Cases

    Who buys
    Nivvuro data?

    🎓
    Student / Researcher
    "I need clean data for my thesis"

    Running a regression on 20 companies' fundamentals? The Single Ticker or Starter Pack at €2–€15 is cheaper than any API and ready to import into Python or R immediately.

    📰
    Newsletter Author / Analyst
    "I write about markets weekly"

    Grab the US Tech or Finance Sector pack once. Build your own comparison tables, charts, and rankings — without a recurring API bill eating into your margins.

    ⚙️
    Developer / Indie Hacker
    "I'm building a fintech tool"

    The Deep Pack JSON gives you a full normalized schema to prototype against — before committing to an expensive data API contract. Ship your MVP first.

    FAQ

    Common
    questions.

    Why buy this instead of going to SEC EDGAR directly?
    EDGAR's raw data is in XBRL format — inconsistent across companies and years, requiring significant technical work to parse and normalize. Nivvuro delivers the same data already cleaned, standardized, and ready to open in Excel or load into Python. For most users, the time saved is worth multiples of the price.
    What exactly do I receive after purchase?
    An immediate download link on the confirmation page and by email. You get a ZIP file containing a JSON file (machine-readable, for Python/JS/R) and an Excel file (formatted with separate sheets per statement, ready to use). No account creation required.
    How current is the data?
    Fundamental datasets are updated within 48–72 hours of each SEC filing publication. Macro datasets (FRED, ECB) are refreshed monthly after each agency release. Each dataset card shows the exact last update date before you buy.
    Can I use this data commercially?
    The underlying data (SEC filings, FRED series) is public domain. Nivvuro's value-add is the normalization and packaging. You may use the datasets in your own research, tools, and publications. Redistribution of the raw dataset files for sale is not permitted.
    What if the data has an error?
    Report it via the contact page with the ticker and field name. Verified data errors are corrected and a fresh download link is issued at no charge. Note: differences from reported figures are always traceable to the original EDGAR filing.
    Is there a refund policy?
    Because the files are delivered immediately upon purchase, refunds are generally not offered after download. This is why a free sample dataset (AAPL, 5 rows) is available — use it to verify format compatibility before buying.
    One-time purchase or subscription — what's the difference?
    A one-time purchase gets you the current data snapshot, which you keep forever. A subscription automatically delivers every update — quarterly for fundamental datasets, monthly for macro datasets — at a reduced price per cycle. After roughly 2–3 cycles the subscription reaches the one-time price; after that you're paying only to keep receiving fresh data.
    USA · SEC EDGAR
    Dataset

      Preview of 3 rows from the dataset. Remaining rows are blurred — purchase to unlock.

      Purchase unlocks all rows · Download as JSON + Excel

      one-time · instant download
      Loading dashboard
      Nivvuro · Manifesto

      Financial data
      was never meant
      to be a privilege.

      This is what we believe. Why we built Nivvuro the way we did. And what we refuse to become.

      01

      The data is public.
      The access isn't.

      Every 10-K, every 10-Q, every balance sheet of every public US company is filed with the SEC and available to anyone. Free of charge. By law. This is not a secret.

      And yet the industry built a wall around it. Bloomberg charges $24,000 per year for a terminal. Refinitiv, FactSet, Capital IQ — thousands more. The argument is always the same: the data requires cleaning, normalization, expertise. Fair enough.

      But somewhere between "public filing" and "institutional terminal" a decision was made — not a technical one, but a business one — to make that expertise expensive. To charge for access, not just for work.

      The raw data costs nothing. The people who can use it pay everything. That gap is a choice — and it doesn't have to exist.

      02

      Good analysis depends on
      thinking, not budget.

      A student writing a thesis on capital structure shouldn't need a $99/month API subscription to get Apple's balance sheet for the last five years. A freelance analyst writing a market newsletter shouldn't lose margin to data fees. A developer building a financial tool shouldn't pay institutional prices to prototype an idea.

      The quality of insight has never depended on how much someone spent on data. It depends on how they think about it. Nivvuro's position is simple: the data should get out of the way so the thinking can happen.

      03

      No paywall. No login.
      No exceptions.

      The Nivvuro analytics platform is free. Not "free tier with 5 requests" free. Not "free for 14 days" free. Free — because the analysis tools are built on public data, and charging for access to public data dressed up as a product is something we decided not to do.

      You don't need an account to run a DCF screener. You don't need a subscription to check a company's free cash flow trend. You open the dashboard and use it. That's the entire policy.

      A paywall is a statement about who you think deserves information. We've made a different statement.

      04

      We sell the work,
      not the access.

      The datasets we sell are different. Parsing EDGAR's raw XBRL output, normalizing inconsistent field names across thousands of filings, aligning fiscal years, computing ratios, packaging it all into something you can open in Excel or load into Python in five minutes — that is real work. We charge for that work. Once.

      No subscription. No monthly fee. No access revoked if you cancel. You buy the dataset, you own it. If the data updates and you want the new version, you buy the update. That's the deal — honest and explicit.

      05

      What we refuse
      to become.

      We won't introduce a "Pro" tier that locks features behind a paywall that used to be free. We won't sell advertising. We won't sell usage data. We won't raise prices and call it "value alignment." We won't become the thing we were built against.

      These aren't promises made lightly. They're constraints we've set on ourselves deliberately — because the easiest path for any data product is to gradually become another Bloomberg for people who can't afford Bloomberg. We're not interested in that path.

      The measure of a data platform isn't what it charges. It's what it refuses to charge for.

      If this resonates —
      you're who we built this for.

      Students, independent analysts, developers, researchers. People who think carefully about markets and don't have $24,000 to spend on a terminal. Nivvuro exists because of you, and for you.

      Written by the Nivvuro team · 2025 · Schmitten, Germany