ClearMind AI vs Dividend Data

Side-by-side comparison to help you choose the right product.

Fix thinking patterns for better decisions.

Get data & 30+ yrs history in Sheets/Excel fast.

Visual Comparison

ClearMind AI

ClearMind AI screenshot

Dividend Data

Dividend Data screenshot

Overview

About ClearMind AI

ClearMind AI helps you identify distorted thinking, challenge irrational beliefs, and replace them with rational perspectives that lead to better decisions and better outcomes.

Built around the powerful method of Rational Self-Analysis, ClearMind guides you through a structured process to examine the situations that trigger emotional reactions, uncover the thoughts driving those emotions, and reframe them with clear, objective reasoning.

Instead of vague journaling or motivational advice, ClearMind uses proven psychological principles similar to those used in cognitive behavioral therapy to help you think more clearly and respond more effectively to life’s challenges.

Over time, the system trains you to recognize irrational thinking patterns before they control your emotions or behavior.

The result is greater clarity, emotional control, stronger relationships, and better decision making in everyday life.

About Dividend Data

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.

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