Introduction

Osmosis is a sophisticated automated market maker (AMM) protocol that enables developers to design bespoke AMMs with sovereign liquidity pools. In order to facilitate cross-chain transactions, Osmosis, which was built with the Cosmos SDK, makes use of Inter-Blockchain Communication (IBC). It is possible to think of Osmosis as a way to integrate all of Cosmos' many dApps together.

Validators who construct blocks for the blockchain and earn block rewards in exchange for performing these services are the backbone of Osmosis' PoS network. Let's take a look at the most recent changes in the amount wagered.

Method

In this dashboard I tried to investigate OSMO users by classified them base on LPing and nonLPing OSMO token holders, and for this I used ***osmosis.core.fact_transfers ***table, to find user addresses taht hold $OSMO and filter these addreeses by LPing/non-LPing by joint of ***osmosis.core.fact_liquidity_provider_actions ***table. and also investigate those users behavior on swapping activity and voting actions since 2022.

Analysis

Part I:

Swap Behavior of non-LPing VS. LPing OSMO users To/From $OSMO since 2022

Part II:

Users in incentivized pools behaving

Part III:

Users in VOTING behaving

Discord:0xHaM☰d#8391

Q21. How are users in incentivized pools behaving vs. non-LP OSMO token holders?

\n The aims of current dashboard:

• What about versus stakers?
• Create an analysis that shows activity for the various types of OSMO holders and chart out some additional activities they’re undertaking.
• Are users LPing or staking more likely to increase their amount staked?
• What group is receiving the most IBC transfers into Osmosis? 

Conclusion

Using the current flipside osmosis tables:

• We've been able to investigate LPing behaving VS. non-LPing.
• We've been able to calculate daily and cumulative swap transactions to/from $OSMO, where we've seen an increase up until May, followed by a decreasingly trend to date, But this metric behavior are most common on LPing users in contract to non-LPing.
• We also investigate staking behavior in incentivized pools of this two OSMO users groups and observed that LPing users have had most interaction in this metric.
• By accessing the voting behavior can observed that most of LPing users was participate in voting activity than non LPing.