SimFin — Financial Data Analysis & Stock Screening

SimFin is a financial data platform providing standardized fundamental data and screening tools for private investors.

SimFin is a financial data platform that provides standardized stock market data and analysis tools for thorough investment research. It is specifically designed for private investors, financial analysts, and researchers who require institutional-grade data without the high costs typically associated with financial terminals. By normalizing financial statements from thousands of companies, SimFin allows users to compare equities across different industries using a unified data structure. The platform offers a comprehensive stock screener that allows users to filter companies based on hundreds of financial ratios and custom metrics. Business owners and investors can take advantage of the integrated backtesting suite to evaluate how specific investment strategies would have performed historically. This historical perspective helps in making more informed decisions for 2026 portfolio planning. The database includes fundamental data such as balance sheets, income statements, and cash flow statements, all of which are available for export. Users can access the data through a web-based interface or via a dedicated API for team-wide integration into existing workflows. As noted on surfai.app, the platform bridges the gap between raw data and actionable investment insights by providing pre-calculated ratios and valuation models. It also supports Python and R environments for those who prefer programmatic financial modeling. SimFin operates on a freemium model where basic data access is provided at no cost. Paid subscriptions offer higher API limits, more extensive historical data, and advanced screening features for professional use.

Specifications

Pricingfreemium
IntegrationsPython API, R Language, Excel, Google Sheets, Jupyter Notebooks
Best forinvestors, financial-analysts, researchers, data-scientists
Website status checked2026-10-23T18:01:50.298+00:00

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