Tesseract Analytics
A Bloomberg Style App for Research
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What is Tesseract Analytics?
Open Terminal by Tesseract Analytics is a professional financial research platform designed for individual investors, bringing the depth of research that institutional investors have always had access to and making it available to everyone. The tool pulls together real SEC financial data, live market news, company summaries, and an AI powered analysis system that users can ask direct questions, presenting everything in a way that doesn't require a finance background to navigate.
The platform offers six core tools built around questions real investors actually ask: Financials for charting revenue, operating income, and R&D spend across watchlisted companies; Companies for researching 10,000+ public companies with plain-English business summaries and SEC filings; Quadrant for comparing companies across two metrics simultaneously; News with automatic classification and sentiment scoring; AI Playground for plain-English questions that return data-backed answers with charts; and SQL Explorer for power users who want direct access to the underlying financial database.
Open Terminal is built for the everyday investor who feels working with incomplete information, the careful researcher who wants to compare options properly before investing, and the numbers person who likes working with data directly to form their own view. The tool is open source and available on GitHub, allowing users to view the code, self-host, or contribute to the project.
Tesseract Analytics pricing
Pricing model: Freemium
The website indicates Open Terminal is accessible without explicit paid tiers - it appears to be free for visiting users with basic access including weekly updated financial data and monthly average stock prices. Account login (via Google or email) unlocks live stock prices and watchlist sync across devices. AI features require account access but users must contact the team to enable them on their account. The tool is open source and available on GitHub for self-hosting.
Tesseract Analytics pros
- Real SEC financial data from institutional-grade sources
- Live market news with automatic sentiment scoring
- AI-powered analysis for plain-English to SQL queries
- 10,000+ public companies searchable by name, ticker, or sector
- Quadrant tool for visual comparison across two metrics at once
- Custom formula builder for creating personalized financial metrics
- Stock price charting with percentage change normalization
- Merge feature combining price and fundamentals on one chart
- News articles classified as directly relevant or broadly related
- Watchlists with portfolio back-testing capabilities
- SQL Explorer for direct database queries with schema panel
- Annual and quarterly financial data options
- Light and dark theme toggle
- Data tab linking to original SEC filings for verification
- Open source code available on GitHub for self-hosting
Tesseract Analytics cons
- No explicit paid pricing tiers mentioned on website
- AI features require account access and contact to enable
- Visiting users see monthly averages not live stock prices
- Account holders get live prices but login required
- Only up to 10 tickers for charting (more for Quadrant)
- Search is fuzzy so ticker matches rank highest
- Formulas require manual creation with no presets
- Model selector defaults to Claude Sonnet 4.5 only
- Data refresh is weekly not daily for financial statements
- No mobile app mentioned for on-the-go research
Frequently asked questions about Tesseract Analytics
What data sources does Open Terminal use?
Open Terminal pulls real SEC financial data directly from SEC public filings - the same source institutional investors use. Financial statements like Revenue and Net Income are updated weekly from SEC filings. Stock price data depends on account status: account holders see live prices while visiting users see monthly averages from the built-in historical archive.
How many companies can I research?
You can search and research 10,000+ public companies by name, ticker symbol, or sector. The platform allows up to 10 tickers for charting in Financials, but more can be selected for Quadrant and Companies tabs for broader comparison analysis.
Can I create my own financial metrics?
Yes, the Formulas tab lets you build custom metrics by combining existing concepts using simple math. For example, you can calculate Profit Margin by typing NetIncomeLoss / Revenues. Built-in variables include stock_price_avg, market_cap, and shares. Your formulas are saved and available every time you return.
What's the difference between visiting and account users?
Visiting users get basic access with financial statements updated weekly and stock prices shown as monthly averages. Account users (who log in with Google or email) unlock live stock prices and can sync watchlists across devices. AI features also require account access but need contact to enable on your account.
How does the News sentiment scoring work?
News articles are automatically classified as directly about your stock or just broadly related industry coverage, then scored for sentiment from negative to positive. Hovering over the sentiment score shows a one-sentence explanation of why it received that rating, helping you focus on articles actually relevant to your investment.
What is Quadrant and how do I use it?
Quadrant plots any two financial metrics against each other where every dot is a company. This is the fastest way to screen large groups and spot outliers. You can put Net Income on X axis and Market Cap on Y axis to find profitable but low market cap companies in the bottom right (potentially undervalued). Color by formula adds a third metric to turn the chart into a heat map.
Can I query the raw financial database?
Yes, the SQL Explorer tab allows power users to write any SQL query directly against the financial database. The main table is financial_data containing one row per company, per month, per financial concept. Template variables like {{ selected_tickers }} and {{ selected_concepts }} are substituted automatically when you run queries.
How often is data refreshed?
Financial statements (Revenue, Net Income, etc.) are updated weekly from SEC filings for both visiting and account users. Stock prices are monthly averages for visiting users but live prices for account holders. The date range control filters the date range for charts and data across all tabs.
What AI models are available for the AI Playground?
The AI Playground uses Claude Sonnet 4.5 as the default and recommended model option. The model selector lets you choose which AI model powers the chat. The AI remembers your conversation so you can follow up with refinements like filtering to tech companies or sorting by market cap.
Is Open Terminal open source?
Yes, Open Terminal is open source and you can view the code, self-host, or contribute on GitHub. This means you have access to the underlying code and can run your own instance if you prefer, with financial data sourced from the same SEC filings.