Banknaked vs Dividend Data

Banknaked is a revolutionary financial transparency tool designed to solve a pervasive and costly problem: hidden banking fees. The average person unknowingly pays over €250 in unnecessary charges each year, with costs buried in complex statements and vague descriptions. Banknaked tackles this challenge head-on by connecting securely to your bank accounts via Open Banking protocols. It provides a clear, concise, and comprehensive breakdown of every single fee you pay, from monthly account maintenance and foreign exchange markups to ATM and wire transfer charges. The platform is built for anyone with a bank account who wants to take control of their finances, stop overpaying, and make informed decisions. Its core value proposition is empowerment through transparency. With read-only access and bank-level security, Banknaked analyzes your transactions to not only reveal your total fees but also offer plain-language explanations, annual projections, and personalized recommendations for cheaper account alternatives. The mission is simple: to strip away the banking industry's veils and give you the clarity needed to switch, negotiate, or eliminate unnecessary costs, putting money back in your pocket.

Dividend Data brings 30+ years of stock market data for 80,000+ tickers directly into your Google Sheets and Microsoft Excel spreadsheets — no API keys, no coding, no copying and pasting.

Built for dividend & fundamental investors, it gives you instant access to dividends, yields, payout ratios, growth rates, financial statements, earnings, ratios, price history, and 100+ metrics through simple custom formulas.

Just type a formula. The data appears live.

What makes it different:

• Free tier with 2,500 monthly credits — no trial expiration
• 16 custom functions covering everything dividend investors need
• 30+ years of historical data
• Works in both Google Sheets and Microsoft Excel
• Built by a dividend investor, for dividend investors

Used by fundamental investors who want institutional-grade data without the institutional price tag.