Dividend Data vs Fere AI

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

Dividend Data instantly delivers stock dividends, prices, and financials directly into your Google Sheets or Excel spreadsheets.

Last updated: March 11, 2026

Fere AI empowers you with autonomous agents that research and execute crypto trades 24/7 for maximum investment.

Last updated: February 28, 2026

Visual Comparison

Dividend Data

Dividend Data screenshot

Fere AI

Fere AI screenshot

Feature Comparison

Dividend Data

Extensive Custom Spreadsheet Functions

Dividend Data provides a specialized library of 16+ custom functions, such as DIVIDENDDATA_DIVIDENDS and DIVIDENDDATA_RATIOS, that act as direct conduits to live financial data. Users simply type these formulas into any cell, referencing a stock ticker and desired metric, and the platform instantly populates the cell with accurate, updated information. This transforms static spreadsheets into dynamic, auto-updating financial dashboards, covering everything from forward dividend yields and ex-dates to P/E ratios and diluted EPS.

Deep Historical & Fundamental Data Library

The platform grants users access to a vast repository of over 30 years of historical market data. This is not limited to price history but extends deeply into fundamental analysis, including decades of dividend payments, annual and quarterly financial statements, and hundreds of key financial ratios. This long-term perspective is crucial for conducting thorough trend analysis, assessing a company's financial resilience through cycles, and building robust valuation models based on historical performance.

Multi-Platform Spreadsheet Integration

A key operational feature is its seamless compatibility with both Google Sheets and Microsoft Excel. Users are not locked into a single ecosystem; they can leverage Dividend Data's capabilities within their preferred spreadsheet environment. The add-ins are officially available on the Google Workspace Marketplace and Microsoft AppSource, ensuring easy installation, secure operation, and smooth performance whether working in the cloud with Sheets or locally with Excel.

AI-Powered Research & Portfolio Tools

Beyond spreadsheets, Dividend Data offers a web-based Terminal featuring advanced tools like an AI Analyst. This assistant can answer complex investment questions, generate research reports, and provide insights based on the platform's extensive dataset. Coupled with automated portfolio tracking that aggregates holdings, calculates projected income, and visualizes performance, it creates a holistic research and management suite for the modern investor.

Fere AI

Execution Agent

The Execution Agent is a powerful feature that allows users to automate their trading strategies. It independently monitors market conditions and executes trades based on predefined parameters, ensuring that users never miss out on profitable opportunities, even while they are away.

Market Pulse

Market Pulse provides real-time sentiment analysis across various cryptocurrency markets. This feature aggregates data from multiple sources to deliver insights on market trends, helping users make informed decisions based on current market sentiment.

Recipe Engine

The Recipe Engine is designed for users who prefer a more hands-on approach to trading. It allows traders to create and customize their trading strategies by selecting different parameters, thus enabling a tailored experience that aligns with individual trading styles and risk appetites.

Cross-Chain Compatibility

Fere AI’s Cross-Chain feature enables seamless interaction across multiple blockchain networks. This functionality allows users to trade tokens from different chains without worrying about the complexities of cross-chain operations, making it easier to diversify their portfolios.

Use Cases

Dividend Data

Building a Dividend Growth Screening Model

Investors focused on dividend growth can use Dividend Data to create a powerful screening spreadsheet. By using functions to pull dividend growth rates, payout ratios, and earnings history for thousands of stocks, they can instantly filter for companies with a history of consistent, sustainable dividend increases. This automates the initial discovery phase, allowing for rapid identification of candidates that meet specific criteria for further due diligence.

Automating Monthly Portfolio Income Reports

For income-focused investors, manually tracking dividend payments across a portfolio is tedious. With Dividend Data, users can build a master portfolio sheet where each holding's ticker automatically pulls the next ex-dividend date, payment date, and declared dividend amount. This sheet can then forecast monthly and annual income, update live, and provide a clear, always-current view of cash flow expectations without any manual data entry.

Conducting Comparative Fundamental Analysis

Analysts and serious investors can perform deep-dive comparisons between companies. By using functions to pull side-by-side data on metrics like ROE, debt-to-equity, profit margins, and valuation multiples, they can build comprehensive comparison tables. The 30+ years of data allow for analyzing how these metrics have evolved over time, providing context that is essential for determining relative strength and long-term operational efficiency.

Creating Dynamic Financial Dashboards

Financial educators, bloggers, or investment club leaders can use Dividend Data to create interactive dashboards. They can build sheets that display key real-time stats for a watchlist, such as current price, dividend yield, and P/E ratio, which refresh automatically. This turns a simple spreadsheet into a live monitoring tool, perfect for presentations, educational content, or keeping a group informed with up-to-the-minute data.

Fere AI

Retail Trader Empowerment

Retail traders can leverage Fere AI to gain insights and execute trades autonomously. By utilizing the platform's AI capabilities, individual traders can enhance their decision-making processes and trade effectively, even with limited experience.

Institutional Trading Strategies

Institutions can utilize Fere AI to implement complex trading strategies at scale. The platform's data-driven insights and execution capabilities allow institutional players to manage large portfolios efficiently while minimizing risks associated with market volatility.

Sentiment Analysis for Market Timing

Traders can use the Market Pulse feature to gauge market sentiment and time their entries and exits effectively. By understanding how market sentiment shifts, users can make more strategic decisions that align with current trends.

Automated Portfolio Management

Fere AI can serve as an automated portfolio manager, continuously monitoring assets and executing trades based on user-defined strategies. This feature ensures that users can maintain an optimized portfolio without constant manual intervention.

Overview

About Dividend Data

Dividend Data is a powerful financial data platform designed to democratize access to institutional-grade stock market information. At its core, it is a spreadsheet add-in that seamlessly integrates over 30 years of historical and real-time data for more than 80,000 tickers directly into Google Sheets and Microsoft Excel. The product eliminates the traditional barriers of complex APIs, coding requirements, and manual copy-pasting, delivering data through simple, custom formulas. Built specifically by and for dividend and fundamental investors, it provides instant access to a comprehensive suite of metrics including dividend histories, yields, payout ratios, growth rates, complete financial statements, earnings reports, valuation ratios, and price action. Its unique value proposition lies in its unparalleled ease of use combined with deep, reliable data, offering a professional analysis toolkit at a fraction of the cost of institutional terminals. With a generous free tier and robust paid plans, it serves both individual retail investors and professional analysts who seek to make informed, data-driven investment decisions without the steep learning curve or exorbitant price tag.

About Fere AI

Fere AI represents a revolutionary advancement in the cryptocurrency trading ecosystem, serving as an AI-powered platform tailored for autonomous research and trading. It seamlessly integrates the conversational capabilities of ChatGPT with the sophisticated market analytics typical of a Bloomberg Terminal, but specifically designed for the fast-paced environment of Web3. Fere AI caters to a wide array of users, from individual retail traders aiming to gain a competitive advantage to institutional investors requiring robust, scalable insights grounded in data. The platform’s core proposition enhances every stage of the crypto trading process—from initial token discovery and comprehensive research to real-time sentiment analysis and on-chain execution. By simplifying multi-chain operations and substituting opaque algorithms with cryptographically-verified intelligence, Fere AI empowers its users to navigate the often volatile cryptocurrency markets with unmatched precision. It transcends the concept of a traditional trading dashboard, acting as an autonomous trading machine capable of identifying lucrative opportunities and executing strategies 24/7, allowing users to seize the future before it fully materializes.

Frequently Asked Questions

Dividend Data FAQ

How does the free tier work and what are credits?

The free tier provides 2,500 credits per month that never expire, with no credit card required to start. Each data request made via a spreadsheet function consumes a small number of credits (typically 1-2 per call). This generous allowance allows users to perform substantial analysis and automation for free. It's designed to let investors fully test the platform's capabilities in their real-world workflows without a time-limited trial.

What kind of data can I access with the spreadsheet functions?

You can access a vast array of data points spanning dividends, quotes, fundamentals, and ratios. Specific examples include forward and historical dividend amounts/yields, ex-dividend and payment dates, current stock price, 30+ years of price history, complete financial statement items (revenue, EPS, cash flow), and over 100 pre-calculated financial ratios like P/E, P/B, and ROIC. The documentation provides a full list of all available metrics for each function.

Do I need to know how to code or set up an API?

Absolutely not. Dividend Data is built specifically to require zero coding or technical setup. There are no API keys to manage. After installing the add-in from the Google Workspace or Microsoft AppSource store, you simply use the provided custom formulas directly in your spreadsheet cells as you would any native function like =SUM(). The complexity of data sourcing and management is handled entirely in the background.

Is my data and portfolio information secure?

Yes. Dividend Data takes security seriously. The connection between your spreadsheet and their servers is secure. When using the portfolio tracking features in the Pro Terminal, your holdings data is stored privately. The company has a clear privacy policy and terms of use. Furthermore, as an official add-in listed on Google and Microsoft's marketplaces, it adheres to these platforms' security and compliance standards.

Fere AI FAQ

What types of users can benefit from Fere AI?

Fere AI is designed for a diverse audience, including individual retail traders seeking insights and institutional players needing data-driven strategies. Its versatility makes it suitable for anyone interested in cryptocurrency trading.

How does Fere AI ensure the accuracy of its market data?

Fere AI employs advanced algorithms that aggregate and analyze data from multiple reliable sources. By leveraging cryptographically-verified intelligence, it provides users with accurate and actionable insights.

Can I customize my trading strategies on Fere AI?

Yes, Fere AI features a Recipe Engine that allows users to create and customize their trading strategies based on their preferences. This flexibility ensures that traders can align their approach with their risk tolerance and market outlook.

Is Fere AI capable of executing trades on multiple blockchains?

Absolutely. Fere AI’s Cross-Chain feature enables users to trade tokens across various blockchain networks seamlessly. This capability simplifies the trading process and allows for greater portfolio diversification.

Alternatives

Dividend Data Alternatives

Dividend Data is a specialized financial data tool that provides extensive dividend and fundamental stock information directly within spreadsheet applications like Google Sheets and Excel. It falls into the category of self-service investment research platforms, designed to empower individual investors with deep, historical data sets. Users often explore alternatives for various reasons. Some may have specific budget constraints or require a different pricing model, while others might need features tailored to different investment strategies, such as technical analysis or real-time alerts. Platform compatibility is another key factor, as some investors prefer web-based dashboards, mobile apps, or integration with other software beyond spreadsheets. When evaluating other options, consider the depth and historical range of the data offered, the ease of access and integration into your existing workflow, and the overall cost relative to the value provided. The ideal solution should align with your primary investment methodology, whether it's dividend growth, value investing, or broader market analysis, without unnecessary complexity or expense.

Fere AI Alternatives

Fere AI is an innovative platform that utilizes autonomous agents to conduct research and execute cryptocurrency trades around the clock. Positioned at the intersection of cutting-edge artificial intelligence and advanced market analytics, it serves a wide range of users, from individual traders to institutional investors. The demand for alternatives often arises due to factors such as pricing, specific feature sets, or the need for tailored solutions that align more closely with unique trading strategies or platform requirements. When searching for alternatives to Fere AI, users should consider several key aspects. These include the robustness of AI capabilities, the transparency of trading operations, the variety of supported cryptocurrencies, and the overall user experience. It's essential to choose a platform that not only meets budgetary constraints but also provides the functionality and security required to navigate the ever-evolving crypto landscape effectively.

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