Alfafrens Guide for staking based on gas fees

Your ultimate guide

For the past ten days I have been tracking gas prices on the Alfafrens platform in order to validate some things I wanted to such as:

• Gas fees on different times

• Network traffic based on different continents

• Best time to stake, claim, sub and unsub on the platform.

• Number of subscriptions – gas fees on claiming.

Before I start with the analysis I want to remind people that Gas fees regarding Claiming $Alfa is directly correlated with the number of active subscriptions a user have. So be careful on the number of subscriptions you make in order to gain More and Faster $Alfa. It can ruin your strategy if you can't afford the quick Degen loss.

I had two sources to use on my advantage, so I used two approaches.

Approach #1

I manually tracked gas prices in different intervals in order to create a graph simulating the gas fees throughout the whole week. As midweek days were similar and found significant differences on weekends I just measured different periods for different days. Monday and Tuesday were the “morning days” and Thursday to Saturday was the “night days”. Wednesday followed the same pattern with Monday and Tuesday.

The pdf includes times on EEST, EDT, GMT and SGT as well as gas fees for claim, stake, sub, unsub for those times. The link is here: https://dune.com/pounf/pounf-alfafrens-gas-fees

Of course, as you can understand from the basic principles of conducting experiments, human can make mistakes. So, thanks to @ahhaa for writing a query that automatically calculates the gas fees. (I wish I could, in the future will be!)

With that said let's move to the number two approach.

Approach #2

By leveraging ahhaa’s query on dune that you can find here by the way https://dune.com/ahhaa/af-toolbox i verified most of my measurements about my experiment and concluded in different periods throughout the day to make transactions inside the Alfafrens platform. Recorded and suggested times for making transactions on Alfafrens.

Period 1:

02:00 – 04:00 EEST / 00:00 – 02:00 GMT / 19:00 – 21:00 EDT / 07:00 – 09:00 SGT

*There is key braking point at 08:00 – 09:00 EEST / 06:00 – 07:00 GMT / 01:00 – 02:00 EDT / 13:00 – 14:00 SGT which the fees are lower but doesn’t occur always and if it happens expect a ± 1 hour delay. *

Period 2:

12:00 – 14:00 EEST / 10:00 – 12:00 GMT / 05:00 – 07:00 EDT / 17:00 – 19:00 SGT.

**This Period can be shifted almost 1-2 hours later depending on the day. Still haven’t figured out the factor that causing this.**

Period 3:

***This period is not as standard as the rest of the periods, but it happens with a ± 1 hour delay and a little bit higher fees but still acceptable in comparison with HIGH GAS FEES TIMES.***

23:00 – 01:00 EEST / 21:00 – 23:00 GMT / 16:00 – 18:00 EDT / 04:00 – 06:00 SGT.

Fine imprint for the consideration of the gas fees and high network usage.

Above results are all part of an experiment with so many variables that cant not even be more 60-70 % correct. You will need data from over 2 months in order to validate the results more precisely.

Considered factors about that times may be

• How many people using Alfafrens at a time

• From where that people used Alfafrens (different continents, serious factor is the high usage of eastern countries using Alfafrens at similar time zones resulting in high volume of transactions)

• Day of the week. Weekends people are more likely to use technology in order to “spend their time off” so consider this factor as well.

With that been said, my research concludes here. Any imperfections MUST be noted in order to provide a more accurate model for the users.

REMEMBER TO ALWAYS DO YOUR OWN RESEARCH.

Thank you for your time dear reader.

Kindest regards,

Pounf

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