https://github.com/steemit/steem
Like it or not, bid-bots are now a widely used part of Steemit.
For some, they are a tool of promotion to get their post out of the "noise" and for some, it is a way of profit.
The general action of a bid-bot is :
As the ROI ( the upvote user will receive / the money user sent ) totally depends on the total bids collected ( vote value of the bot is constant) there should be a more profitable time frame, where there are fewer users sending bids to use these bots.
In this analysis, it is searched, if such a timeframe really exists.
Analysis date: 15 May 2018
Analysis timeframe: 07 May 2018 00:00 to 13 May 2018 24:00
Bots analyzed:
All times are in UTC.
For this analysis the tool SteemBotAnalysis GitHub is used.
I have mainly built this tool to analyze the voting behaviors ( vote date-post date) of the users but it is very suitable for such analysis with the added properties like :
for his recommendations on the added properties)
Selecting the bot and the time frame, all the upvote data of the bot is received.
For the bid sent, two methods should be chosen.
1- Write a script to actually take the transfer from block-chain data
2- Put the data to a spreadsheet
's SteemBotTrackerI have taken the second approach and validated that it works perfectly unless the minimum bid changes within the analysis week.
The gross ROI is basically (SBD Value of upvote received) / (Bid Sent as SBD)
Since we have all the data, it is just spreadsheet calculation.
The Gross-ROI findings for 3 bots during 1 week are as follows :
Looking at the 1 week data we can conclude that :
As a final word, I really would like to see if Hawthorne Effect ( observation changes behavior) will work on this analysis.
Just because we have determined a "stable timeframe" and "max ROI date" can change the voting behavior of people and a new study would be required.
