NEAR - 4. Free Square

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    ❓Ref finance

    Analyze Ref finance swap activity

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    πŸ“ Introduction

    Ref Finance is a community-led, multi-purpose DeFi platform built on the NEAR Protocol.

    Ref takes full advantage of NEAR’s low fees, one-to-two second finality, and WebAssembly-based runtime (hello, Rust smart contracts!).

    In addition to the advantages of being built on top of NEAR, Ref Finance provides:

    • Multiple pools in one contract
    • Atomic transactions
    • Customisable pool fee

    Features

    ↔️ Trade

    Trade tokens with our automated market maker (AMM) exchange

    πŸ’° Pool

    Provide liquidity and earn revenue from swap fee

    🌾 Farm

    Stake LP tokens into farms and earn rewards in return

    πŸš€β€‹ Boost Farm

    Stake LOVE tokens to get boosted incentives on multiple farms

    🌈 Stake

    Stake REF tokens to earn more REF tokens, by earning fees generated by the protocol

    πŸ—³β€‹ Vote

    Lock your REF<>NEAR LP tokens to get veTokens and participate in the governance of the protocol and the allocation of liquidity incentives

    πŸ“ƒ Purposes of dashboard

    In this dashboard, Ref finance protocol is analyzed :

    • Total and Daily / weekly / monthly count of swaps (totally & at each pool).
    • Total and Daily / weekly / monthly count of swappers (totally & at each pool).
    • Total and Daily / weekly / monthly volume (USD) of swaps (totally & at each pool).
    • User categorize by count / volume of swaps in Ref finance protocol.
    • Top 10 pool on Ref finance protocol by count of swaps.
    • Top 10 pool on Ref finance protocol by count of swappers.
    • Top 10 wallet on Ref finance protocol by volume (USD) of swaps .
    • Top 10 wallet on Ref finance protocol by count of swaps .

    ✍🏻 Methodology

    • In this dashboard, i use 2 table:
      • near.core.fact_receipts β†’ used for checking swappers activity in Ref finance protocol.
      • near.core.dim_token_labels β†’ used for checking token names that are tradable in Ref finance protocol .

    🟑 Part(1).Total and Daily / weekly / monthly count of swaps (totally & at each pool).

    🟑 Part(2).Total and Daily / weekly / monthly count of swappers (totally & at each pool).

    🟑 Part(3).Total and Daily / weekly / monthly volume (USD) of swaps (totally & at each pool).

    🟑 Part(4).User categorize by count & costing volume (USD) of swaps in Ref finance protocol.

    🟑 Part(5).Top 10 token by count of swaps / swappers in Ref finance protocol.

    🟑 Part(6).Top 10 seller by count & costing volume (USD) of swaps in Ref finance protocol.

    πŸ“ƒContact Data

    Discord : Abolfazl#2441

    Email : Abolfazl.yeganeh77@gmail.com

    Twitter : profile

    Twite of this analyze : Link

    thanks for MetricsDao and Flipsidecrypto team

    πŸ‘€ Observation ( part(1) , part(2) , part(3))

    • The count of swaps was in ==Aug==, ==May== and ==Jun== 2022 was more than other months.
    • The maximum count of swaps was ==2.47 M== in one day is related to ==20 Aug== of 2022.
    • The maximum count of swaps was in one week is related to ==third week== of Aug 2022. (==4.73 M== in Aug and ==4.62 M== at third week of Aug).
    • Total count of swaps was ==6.76 M== .
    • The count of swappers was in ==May==, ==April== and ==March== 2022 was more than other months.
    • The maximum count of swappers was ==3697== in one day is related to ==8 Apr== of 2022.
    • The maximum count of swappers was in one week is related to ==third week== of Apr 2022. (==63.8 K== in Apr and ==17.63 K== at third week of Apr).
    • Total count of swappers was ==29.7 K== .
    • The volume (USD) of swaps was in ==Nov==, ==Jan== 2021 and ==Mar== 2022 was more than other months.
    • The maximum volume (USD) of swaps was ==6.95 T== in one day is related to ==7 Now== of 2021.
    • The maximum volume (USD) of swaps was in one week is related to ==first week== of Now 2022. (==6.958 T== in Jan and ==6.957 T== at first week of Now).
    • Total volume (USD) of swaps was ==7.02 T== .

    πŸ‘€ Observation ( part(4))

    • Most of the swap volume (USD) of Ref finance protocol was ==less than 10 USD==, ==8985== (==30.3%==)

    • After ==less than 10 USD== most of the swap volume (USD) of Ref finance protocol was ==less than 100 -500 USD==, ==4404== (==14.8%==)

    • Most of the usage platform was ==2 - 5 time== , ==11.19 K== (==37.7%==)

    • After ==2 - 5 time== most of the usage platform was ==just once time==, ==8993== (==30.3%==)

    πŸ‘€ Observation ( part(5))

    πŸ† $META - STNEAR Pool

    which have the most count of swap at Ref finance protocol.

    Count = ==2.536 M== (==42.3%== of all count of swap)

    πŸ† USDT - wNEAR Pool

    which have the most count of swapper at Ref finance protocol.

    Count = ==12.66 K== (==16%== of all count of swap)

    πŸ‘€ Observation ( part(6))

    πŸ† pizzamaker.near

    which have the most volume (USD) of swap in Ref finance protocol. (==33 B USD==)

    πŸ† pizzamaker.near

    which have the most count of swap in Ref finance protocol. (==4.998 M==)