Bridge Analysis (Flow)

    Introduction

    Flow is a blockchain platform that is quick, decentralized, and user-friendly for developers. Its purpose is to facilitate the creation of a new generation of games, apps, and the digital assets that power them. It is scalable without sharding because to the incorporation of several roles into a single platform, and it nevertheless manages to maintain an ACID-compliant environment that is pleasant to developers.

    Method

    • In this dashboard I used flow.core.fact_bridge_transactions and joint it with flow.core.fact_prices and ethereum.core.fact_hourly_token_prices to find Volume of bridged base on Price in USD on each blockchains.

    • I found two types of tokens bridged from /To Flow to another Blockchains (base on Direction column on flow.core.fact_bridge_transactions table). Non-Natives and Natives alike make up the majority of the group. The Flow pricing table had native token prices, and the Ethereum price table included non-native token prices.

    Analysis

    Section I:

    In this section you can see the following metrics analysis base on directions (from/to flow):

    1. Daily and total count of bridged transactions

    2. Daily and total count of unique users for bridged transactions

    3. Daily and total Volume of bridged tokens in USD

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    Section II:

    In this section you can see the following metrics analysis in base on Native Tokens (from/to flow):

    1. Daily and total count of bridged transactions
    2. Daily and total count of unique users for bridged transactions
    3. Daily and total Volume of bridged tokens in USD

    Section III:

    In this section you can see the following metrics analysis in base on Blockchain (from/to flow):

    1. Daily and total count of bridged transactions
    2. Daily and total count of unique users for bridged transactions
    3. Daily and total Volume of bridged tokens in USD

    Discord:0xHaM☰d#8391

    Q18. What tokens and blockchains are users interacting with when bridging to and from Flow? \n

    In this dashboard I trying to look at the following questions:

    1. what protocols users are leveraging after bridging TO Flow from another chain?
    2. what chains contribute to the most bridge volume?

    Or could be done the reverse,

    1. where are users going from Flow to another chain going?
    2. What were they interacting with on Flow before bridging out? 
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    Section IV:

    In this section you can see the Volume bridged analysis in base on Native Tokens & destination Network (from/to flow)

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    Section V:

    In this section you can see the following metrics analysis in base on Native Tokens & destination Network (from flow):

    1. Daily and total count of unique users for bridged transactions
    2. Daily and total Volume of bridged tokens in USD
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    Section VI:

    In this section you can see the following metrics analysis in base on Native Tokens & Origin Network (To flow):

    1. Daily and total count of unique users for bridged transactions
    2. Daily and total Volume of bridged tokens in USD
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    Findings

    **Bridged From Flow:**
    
    1. The destination of More than 71% of the bridging volume was Solana network.

    2. $Blacto Token is responsible for more than 72% of the volume that is bridged from the Flow network to other network.

    3. More than 46% of all unique users have utilized Ethereum to connect from Flow. Solana comes in second, followed by BSC.

    4. More than 49% of the bridged volume was for connecting Blacto Token from the Flow network.


      Bridged To Flow:

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    5. More than 86% of the bridging volume was generated by Ethereum.

    6. $RLY is responsible for more than 78% of the volume that is bridged to the Flow network.

    7. More than 40% of all unique users have utilized Solana to connect to Flow. BSC comes in second, followed by Ethereum.

    8. More than 54% of the bridged volume was for connecting Blacto Token to the Flow network.

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