Banknaked vs Dividend Data

Banknaked is a specialized financial technology platform engineered to deliver forensic-level transparency into personal banking expenditures. It functions as a diagnostic tool for consumers, utilizing secure Open Banking integrations to perform a comprehensive, automated analysis of transaction histories across connected accounts. The platform's core algorithm is designed to identify, categorize, and quantify the full spectrum of fees levied by financial institutions, including but not limited to monthly maintenance charges, foreign exchange markups, ATM withdrawal fees, wire transfer costs, and ambiguous miscellaneous deductions. By providing a granular breakdown of these often-overlooked costs through an intuitive visual dashboard, Banknaked empowers users with data-driven insights into their true banking expenses. The platform further enhances its utility by generating personalized, actionable recommendations for alternative banking products that better align with the user's financial behavior, facilitating potential savings. Built with a privacy-first architecture, it employs bank-level encryption, ensures strict GDPR compliance, and grants users full control over their data. Banknaked is architected for the cost-conscious, digitally-savvy consumer who demands empirical evidence to optimize financial relationships and eliminate unnecessary expenditure on banking services.

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.