Analytical Power at HIVE

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Sometimes we may take paths that prove difficult in the future, convinced that we are currently on the right track. What is required is rigorous, honest, analytical, scientific criticism—if you will.

I am interested in hearing different people’s opinions to reach a conclusion. But when opinions diverge and are varied, I prefer to base my strategies on my interpretation of the available statistics.

Statistical analysis on HIVE is largely divided between monitoring each user’s financial performance and analyzing the dApp ecosystem (games and social networks).

That’s why I’ve divided it into two groups: 1- User Performance: account statistics and rewards. 2- HIVE Performance: dApp and network statistics, and raw data extraction (for developers).

Before giving a brief overview of each, I want to apologize to everyone who is identified. The purpose is simple: to authenticate the creators of each tool presented here.

Other options available:

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The creator drew inspiration from Matt Rosen’s SteemDash. Although it’s a simple interface, it lets you change the theme and colors, use a pop-out widget, and switch to classic mode. This is where I want you to go now—to classic mode.

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The numbers here tick by more slowly, which allows for a different kind of reflection. So, when you’re feeling down because your account is running low, focus on this tool. Watch the numbers rise at the pace of your heart rate.

I suggest a mantra to heal your discomfort: focus on this tool for one minute before falling asleep. When you wake up, do the same—watch it for one minute. After 21 days, you’ll be healed. 😀 You’ll wake up to HIVE with more energy than you’ve ever had. 💪 Give it a try.

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Here you can monitor your rewards and activity, pending rewards, transaction history, delegation management, and many more analytical features. For Witnesses (network validators), you also have the ability to monitor node status and check for missing blocks.

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It is a very comprehensive tool—perhaps one of the most comprehensive—because it offers a wide variety of metrics to analyze your performance. Among them, the ones I highlight are Readability Distribution and Engagement by Readability Level.

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Here you can see your performance when it comes to curation. You can even compare yourself with other users or curation groups. It has a very user-friendly and simple interface where you can track all the votes you’ve cast and your voting power.

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It is a useful tool for public auditing and financial transparency. It can be used to verify DHF payments, track whale activity, confirm Hive-Engine operations, and analyze account activity.

It also displays HIVE/HBD prices, blockchain statistics, transaction history,
block production, and witness activity.

Every month, the Hive Statistics community releases detailed analyses by Hive account@arcange and Hive account@dalz. Hive account@steevc, Hive account@demotruk, Hive account@holoz0r, and Hive account@fullcoverbetting have also been contributing to the community since the beginning of this year with more specific, yet very interesting, statistics.

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Others available:

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Behind this project lie pertinent questions about the HIVE blockchain, which formed the basis for this analytical product:

• Are on-chain prices aligned with the market?
• Is block production running smoothly?
• Has the network been stable recently?
• What do current inflation and issuance look like?
• Is HBD approaching any risk thresholds?

It has a very pleasant and dynamic interface. The available data updates in real time, with the option to pause for a more detailed analysis. This ability to pause time is a brilliant feature. It is also possible to check the dynamics and work of the witnesses, and it displays all DHF proposals in a well-organized manner.

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It allows for viewing by time periods and amount filters. In practice, this tool is useful for gauging sentiment and confidence in the HIVE ecosystem. It enables users to identify whales or active accounts accumulating HP, track events such as Hive Power Up Day, analyze the network’s economic behavior, and detect investment or accumulation patterns.

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It offers a variety of features and can be useful for studying demand cycles for HBD versus HIVE, as well as for analyzing systemic risk.

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HiveSQL is a publicly available Microsoft SQL Server database that contains all data from the Hive blockchain. Before accessing HiveSQL, you will need to create an account.

The data is structured and easily accessible from any application capable of connecting to an MS-SQL Server database. It allows you to easily access the data contained in the Hive blockchain and perform analyses or find valuable insights.

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Simply put, HAF transforms the “raw” data from the Hive blockchain into an organized, easy-to-query SQL database.

Many modern tools in the ecosystem use HAF directly or indirectly, including explorers, dashboards, analytics, social APIs, financial tools, Hivemind, reputation systems, indexers, and curation applications.

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The DHF (Decentralized Hive Fund) receives a portion of all new HIVE created. This dashboard shows who controls those funds, how much is being minted, and where it flows.

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The tools I’m presenting here are the ones I’m familiar with, and they’re available online. I don’t know if the list is complete—I’m not sure about that. If you know of any others that aren’t listed here, please leave a comment, and I’ll make sure to update the post.