Hey All,
Its been a time that I did not explore the #HIVE Blockchain data. Since today is HPUD [Hive Power Up Day], I thought it would be nice to see explore and see my Hive Power Neighbors i.e. who has HP in the range of 140K – 200K+. The idea here was to sense their account activity and see if I could get their account activity, compare engagement levels, and see if I could get insights into how active and consistent they are with their Hive Power growing or are delegating more i.e. what the pattern is. The intention here purely is for analysis and help me benchmark my own growth but also give me a clearer picture of where I stand within the broader Hive ecosystem. So lets go with first with the quering that I triggered and is a running query with the following output that I captured in my DBeaver application.
Query to get users with 140k–200k HP with effective HIVE POWER
WITH globals AS (
SELECT
total_vesting_fund_hive,
total_vesting_shares
FROM DynamicGlobalProperties
)
SELECT
a.name AS account_name,
-- Own HP
CAST((a.vesting_shares / g.total_vesting_shares) * g.total_vesting_fund_hive AS DECIMAL(20,3)) AS own_hp,
-- Effective HP (own - out, no delegations in)
CAST(((a.vesting_shares - a.delegated_vesting_shares) / g.total_vesting_shares) * g.total_vesting_fund_hive AS DECIMAL(20,3)) AS effective_hp
FROM Accounts a
CROSS JOIN globals g
WHERE
a.received_vesting_shares = 0 -- exclude accounts with delegated-in HP
AND (a.vesting_shares / g.total_vesting_shares) * g.total_vesting_fund_hive
BETWEEN 140000 AND 200000 -- filter by OWN HP range
ORDER BY own_hp DESC;
Now that I have the data the big question was, what do I do with it? Do I plot some graphs here and look at delegation patterns, curation activity, or maybe compare posting frequency? Or perhaps identify potential collaboration opportunities with peers in this range? Any guesses? Well here is what I did with the data. Plotted the following different graphs...remebere I am comparing peers which are close to my #hive power range.
- Bar Chart - Top Accounts by Own HP
- Bar Chart - Own HP vs Effective HP
- Scatter Plot - Own HP vs Effective HP
Distribution of Own HP (140k–200k) with
Highlighted
Delegated Out vs Retained Hive Power account 
As you can see users that are having HP close to my range or above most of them have effective HP meaning they are not delegating their Hive Power which is a very good sign. All this time I had 40% of my Hive power delegated. This was something wrong that I was doing when compared to my peers. I have now got that deelgated HP removed and made it effective HP in the similar lines as of my peers. The other thing that I noticed was how keeping HP effective not only strengthens individual accounts but also reflects a healthier, more consistent on-chain presence. It’s like compounding your own influence instead of letting it dilute elsewhere. And I can see it being reflected in my curation rewards which is more then #hive power being delegated. Ok I guess this should be it for todays post on - "My Hive Power Circle: Who’s Around 140K–200K+ HP - Lets Explore..." Let me know what you guys were able to spot on these trend analysis for my hive power circle users with HP in the range of 140K to 200K Hive Power.. I hope I was able to explain things clearly. If you have any follow-up questions or doubts, please feel free to share them in the comments below. Happy Learning with HiveSQL....Cheers...
My Hive Power Circle: Who’s Around 140K–200K+ HP - Lets Explore...
#Hive #hivepower #hivepoweridle #blockchain #crypto #HiveSQL #hpidle #HiveCommunity #Web3 #Decentralization #HiveBlog
Best Regards
Paras
Image Courtesy:: pro canva license, hiveblocks, DBeaver
PS:- None of the above is a FINANCIAL Advice. Please DYOR; Do your own research. I've have an interest in BlockChain & Cryptos and have been investing in many emerging projects.
Recent Top 5 Hive Blockchain Data Query Blogs
📚 My Earlier HiveSQL - Hive Blockchain Data Related Blogs
- Hive Reputation Explained: Part2 - HIVE POWER & HIVE REPUTATION - Analysis
- Hive Reputation Explained: Step-by-Step Conversion Guide
- HiveSQL - Current - Hive Token Supply Distribution Numbers... Liquid HIVE, HIVE POWER & HBD Supply
- My Daily Hive Earnings Breakdown — July 2025 - Hive Power & HBD - ALL #HIVE Earnigs Powered UP
- Hive Blockchain Explained: What Are "Delayed Votes" on HiveBlocks? - Explained with an EXAMPLE
- HiveSQL - Top 50 #HIVE Reputable Users - HIVE POWER & #HBD in Savings they #HODL
- HiveSQL - Querying Json_metadata with App = "Ecency"
- HiveSQL - Querying to find out HIVE Coming IN [Users] & Going OUT [Exchanges]
- Started using HiveSQL and my FIRST Simple query - Top 50 accounts #HOLDING Liquid HIVE - Eliminated Accounts having more than a Million #HIVE
Ok I guess this should be it for todays post on - "Hive Power Sitting IDLE - Trends, Insights, and Analysis...." Let me know what you guys were able to spot on these trend analysis for hive power sitting idle for top20 users. I hope I was able to explain things clearly. If you have any follow-up questions or doubts, please feel free to share them in the comments below. Happy Learning with HiveSQL....Cheers...
Hive Power Sitting IDLE - Trends, Insights, and Analysis...
#Hive #hivepower #hivepoweridle #blockchain #crypto #HiveSQL #hpidle #HiveCommunity #Web3 #Decentralization #HiveBlog
Best Regards
Paras
Image Courtesy:: pro canva license, hiveblocks, DBeaver
PS:- None of the above is a FINANCIAL Advice. Please DYOR; Do your own research. I've have an interest in BlockChain & Cryptos and have been investing in many emerging projects.
Recent Top 5 Hive Blockchain Data Query Blogs
📚 My Earlier HiveSQL - Hive Blockchain Data Related Blogs
- Hive Reputation Explained: Part2 - HIVE POWER & HIVE REPUTATION - Analysis
- Hive Reputation Explained: Step-by-Step Conversion Guide
- HiveSQL - Current - Hive Token Supply Distribution Numbers... Liquid HIVE, HIVE POWER & HBD Supply
- My Daily Hive Earnings Breakdown — July 2025 - Hive Power & HBD - ALL #HIVE Earnigs Powered UP
- Hive Blockchain Explained: What Are "Delayed Votes" on HiveBlocks? - Explained with an EXAMPLE
- HiveSQL - Top 50 #HIVE Reputable Users - HIVE POWER & #HBD in Savings they #HODL
- HiveSQL - Querying Json_metadata with App = "Ecency"
- HiveSQL - Querying to find out HIVE Coming IN [Users] & Going OUT [Exchanges]
- Started using HiveSQL and my FIRST Simple query - Top 50 accounts #HOLDING Liquid HIVE - Eliminated Accounts having more than a Million #HIVE