Avalanche Swaps vs Transfers (Redux)

    ==Introduction==

    Avalanche is a platform developed by Ava Labs that allows anyone to easily produce their own multifunctional blockchains and decentralised applications (dApps).

    It is designed to address some of the limitations of older blockchain platforms, such as slow transactions, centralisation and scalability, and uses several innovations to do so. These include its unique Avalanche consensus protocol, which promises low latency, high throughput and 51% attack resistance. By providing an alternative to networks like Ethereum, platforms like Avalanche work to combat centralisation within the cryptocurrency space.

    Avalanche's main benefits lie primarily in the way it was built. The founders of Avalanche found a way to address the common problems of blockchains through the unique structure of the network. On the other hand, it was built to be scalable and features sub-second transaction times and incredible processing power.

    ==Methods==

    In this analysis we will focus on Avalanche swaps and transfers. More specifically, we will analyze the following data:

    • Number of USDX swaps vs transfers
    • Number of USDC swaps vs transfers users
    • Volume of USDC swaps vs transfers
    • Average volume of USDC swaps vs transfers
    • Distribution of Number of USDC swaps vs transfers
    • Distrobution of Number of USDC swaps vs transfers by volume
    • Number of mints vs burns
    • Number of mints vs burns users
    • Volume of Number of mints vs burns
    • Average volume of mints vs burns
    • Distribution of Number of mints vs burns
    • Distribution of mints vs burns by volume
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    In the first graph we can see the number of USDC swaps vs transfers. We can see that since July there is a stable trend in both swaps and transfers of Avalanche. If we look at the values of the two actions we can see that, in general, there are slightly more swaps than transfers. From November onwards the values of the two actions went up. There are a few quite important peaks. After a few days, the values have returned to the same as before.

    If we look at the number of USDC swaps vs transfers users, we see that there is also a very stable trend, with a few peaks. The first one was in August, with 550 swaps and 508 transfers and on 18 November, with 1206 transfers and 1037 swaps. In general, we can see that there are more swaps than transfers.

    In the following graphs we have analysed the volume and its average. First of all, if we look at the values, we can see that there is a very similar amount of swaps than transfers. In the volume we can see that there are two important peaks. The mid-November peak reached a brutal amount, with more than 1.5B swaps. In the average volume we see that at the end of July transfers rose radically, reaching more than 2.5M. During the other months there are many peaks.

    In the last graphs we can see, on the one hand, the distribution of Number of USDC swaps vs transfers. We can see that the values of swaps and transfers are quite similar, even so, swaps predominate. From mid-November onwards there are more transfers than swaps and we can see that today there is a distribution of approximately 43% of swaps versus 57% of transfers. Secondly, we have analysed the distribution of Number of USDC swaps vs transfers by volume. We see that from July to the beginning of September there is a higher amount of volume in swaps. Even so, there are many continuous rises and falls in the volume of transfers and swaps. From September onwards, there is a higher volume of transfers than swaps. The number of swaps drops radically.

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    In the first graph we have analysed the number of mints vs burns. We can clearly see that in general there are more burns than mints. Even so, they rise and fall steadily. In the number of mints vs burns users we see that there are only 1 or 2 mints or burns per user.

    In the volume of number of mints vs burns we see that there is a radical peak of burns in August, reaching almost 300M. This figure is much higher than the rest. The volume of burns is more predominant than that of mints. There are constant peaks during all months. In the average volume of mints vs burns we see that during the months of September and October there has been a very low average volume, both in burns and mints. We see that there are different peaks throughout the months.

    Finally, we have analysed the distribution of number of mints and burns and the distribution of mints vs burns by volume. We see that in the two graphs they are very uneven. They go up and down constantly. During the months of September and October burns were more predominant than mints, while during the month of November we see that mints are more predominant than burns.

    ==Key insight==

    • Since July there is a stable trend in both swaps and transfers of Avalanche.
    • In the number of USDC swaps vs transfers users, there is also a very stable trend, with a few peaks.
    • The first peak was in August, with 550 swaps and 508 transfers and on 18 November, with 1206 transfers and 1037 swaps.
    • There is a very similar amount of swaps than transfers in the volume.
    • In the average volume, at the end of July transfers rose radically, reaching more than 2.5M. During the other months there are many peaks.
    • The distribution of Number of USDC swaps vs transfers, the values of swaps and transfers are quite similar, even so, swaps predominate.
    • Today there is a distribution of approximately 43% of swaps versus 57% of transfers.
    • There are many continuous rises and falls in the volume of transfers and swaps.
    • In general there are more burns than mints. Even so, they rise and fall steadily.
    • In the number of mints vs burns users there are only 1 or 2 mints or burns per user.
    • In the volume of number of mints vs burns we see that there is a radical peak of burns in August, reaching almost 300M.
    • The volume of burns is more predominant than that of mints.
    • In the average volume there are different peaks throughout the months.
    • In the distribution of number of mints and burns, They go up and down constantly.

    Thanks to alik110

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