Open Analytics Bounty: ETH (October 2)- Livepeer Token (LPT)

    Open Analytics (OA) bounties are bounties without specific prompts, just a direction and a reward. It’s your chance to have your brain follow your heart — got a spark of interest, or a loose thread, or a weirdly-specific question gnawing at the back of your mind? Follow it as far as you can!

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    in this dashboard I want to analysis the LPT.

    for first step as you see I check the total number of the transaction and you see that total number of transaction is not so more and at the same time not low and transaction number is in their normal range.

    after this part I want to check the total transaction number that divide by day. with analysis that part we can say that when the whale come to buy and when they sell and how the impact to the price of the LPT

    in this graph for the better understand the LPT, divide the number of the transaction by day.

    so look at the chart as you see in 28 Jul 2018 users for the first time increase the transaction number and this act continue until 4 Oct and after this part number of the transaction decrease extremely and when you see the chart of the price you can see that at that time price of the LPT decrease and after this date transaction number were in their normal range until 8 Mar 2022 and as you see in this date transaction number pump and after that decrease and again stay at the same range.

    after this date I want to analysis the amount of the swap that input to LPT and output from LPT.

    in this part I analysis the input token to LPT as you see over than 95% swap to LPT is WETH and after that RNG by the about 3% and after that FALCON, UNI, STORJ, AMPL, 3MY, WBTC and finally DAI that totally have low than 2% that swap to LPT

    the interesting thing is that there is no transaction that swap USDT and USDC to LPT.

    by analysis this part we see that a large number of the users prefer to swap WETH to the LPT.

    after this part I want to check the opposed of this. ( number of the transaction that output from LPT ).

    in this part I analysis the output amount from LPT.

    as you see the total order are stable but just the amount of them change. as you see the change is:

    WETH 93.5 %, RNG 5.61 % and other low than 1%.

    again in this part we see that user of the LPT prefer to swap their LPT to WETH and we see this act in the previous part. and again the same interesting thing in the previous part repeat in this part, as yo see users do not swap their LPT to the USDC or USDT.

    in the previous part I analysis the total number of the transaction and in this part I want to check the amount of the USD that input to LPT.

    as you see the most amount is related to the WETH and we expected this from previous part and we see that transaction number of the RNG is larger than others but we see that amount of the DIA and WBTC that swap to LPT is more than RNG this show this point that middle users swap the DAI and WBTC to the LPT.

    lets analysis the output of the LPT.

    again in this part we see the same result of the previous part as you see amount of the USD that output from LPT swap to the WETH, DAI , WBTC , AMPL , STORJ and UNI.

    as you know we expected this result from previous part but the interesting point is that just transaction number of the RNG was more than WBTC and DAI you see that amount of the DAI and WBTC is more than RNG.

    in this graph I want to analysis the event type by number of the transaction.

    as you see the most number of the transaction is related to the transfer that this result is expected result, and after this most transaction related to the Mint and Approval and we know that this number should be more than burn.

    transfer transaction is normal but I think transaction of the mint is too large and in this point we can say that LPT’s performance in the mint is very good.

    at the end I want to analysis the speed of the token.

    I think speed is one of the most important part of the token, and because of that I hold this graph for the end to see the result.

    my definition from speed is number of the transaction per minute.

    as you see in the upper graph speed of the LPT is in their normal range except in the 8 Mar 2022 that as you know from the second graph that I analysis them transaction number increase in that date nd you see that speed of the LPT increase again in this date.

    conclusion

    in this dashboard I check the LPTs performance and get this result.

    we see that:

    • 1- number of the transaction in the LPT is normal.
    • 2- transaction number of the LPT increase in 2 range first one in 28Jul - 4 Oct 2018 and the second one on the 8 Mar and in the both time the price of the LPT increase.
    • 3- the tokens that amounts swap to the LPT as transaction number is WETH and RNG and others with low than 2 % and the WETH has the most percentage ( more than 95 %)
    • 4- LPTs amount swap to the WETH by more than 93 % and after that RNG and other by the low than 1%. (analysis depend on transaction number)
    • 5- transaction number of the RNG in the swap part do not have coincidence with the amount. amount of the WBTC and DAI in the input and output of the USD to and from LPT is more than RNG.
    • 6- most of the transaction number related to the transfer and after that mint and Approvol.
    • 7- performance of the LPT in the mint is very good.
    • 8- speed of the LPT by the time are at the same range just increase in the 8 mar and at that time transaction number of the LPT increase.
    • 9- there is no swap to USDT or USDC from/to LPT.

    What Is Livepeer? (LPT)

    The Beginner’s Guide to LPT

    Livepeer is a network built on Ethereum for transcoding live and on-demand video. 

    Livepeer differentiates itself from traditional video streaming services like YouTube by not hosting, storing or distributing video. Rather, Livepeer is building a technology that utilizes excess computing power to more efficiently share video from broadcasters to consumers.  

    Video streaming is the main source of internet bandwidth use worldwide, with some reports suggesting that it accounts for up to 80 percent of global internet usage. The biggest cost for video broadcasters lies in transcoding, which is the process of converting and reformatting raw video to ensure it can be played across multiple devices and networks, from pocket size smart phones to larger than life billboards.

    Livepeer aims to disrupt the video transcoding market by giving broadcasters access to thousands of distributed processors, allowing app developers to create videos within a secure, efficient and affordable architecture. 

    Central to its ecosystem is the Livepeer Token (LPT) which is used to secure the Livepeer network and coordinate the work responsibilities of those supporting the video encoding process.

    Who Created Livepeer?

    Livepeer was created in 2017 by Doug Petkanics and Eric Tang. 

    The Livepeer team did not conduct a token sale to distribute its LPT token. Instead, an initial amount of LPT was distributed between the community, the founders and the early team members, as well as a long term development fund.

    How Does LivePeer Work?

    Livepeer’s distributed architecture for delivering video content centers around its key role of “orchestrators.” Participants with enough computing power can become orchestrators by dedicating resources to transcode and distribute video on behalf of paying broadcasters and developers.

    For example, take an app developer who has created a platform using the Livepeer protocol dedicated to live streaming high school basketball games on demand. The team’s coach who is looking to broadcast the game would simply go into the app and press record, never having to worry about the technical intricacies Livepeer handles behind the scenes.

    Meanwhile, Livepeer’s orchestrators, those with excess computer resources, transcode the event for different networks and devices. Orchestrators must first stake Livepeer tokens (LPT) to ensure they perform quality work. It is important to note that while LPT is the protocol token that coordinates how work is distributed on the network, it is not the medium of exchange token to pay for services within the Livepeer protocol.

    Livepeer recognizes that not all LPT holders may have the expertise or computing power needed to fulfill the role of an orchestrator. Thus, the “delegator” role was created. Delegators choose to stake their LPT with orchestrators they believe are contributing quality, honest work towards the video transcoding process.

    Both orchestrators and delegators earn fees paid by the video broadcasters for their role in ensuring a high quality and secure network. These earned fees, payable in ether, or a stablecoin, such as DAI , are directly proportional to the amount of LPT orchestrators and delgators have staked in the Livepeer protocol. Livepeer also mints new tokens that are shared between delegators and orchestrators every 5760 Ethereum blocks, which Livepeer refers to as a round.

    Why Does LPT Have Value?

    As the native token of the Livepeer network, LPT is critical for a variety of use cases across its network. 

    Users may find the censorship resistant nature of decentralized architectures such as Livepeer holds value and stands in contrast to incumbent, centralized services such as Youtube, Twitch and Vimeo. The Livepeer team notes that these services could be subject to pressure from corporations or governments to modify, remove or deny certain videos from being published. However, as a backend technology, Livepeer leaves this responsibility to the broadcasters and application developers that utilize their system.Additionally, Livepeer’s pay-as-you-go content consumption ethos means that users do not need to pay regular subscription fees towards services they do not use. The Livepeer system also allows content creators to earn more on their creations, as the need for costly intermediaries while sharing videos from broadcasters to end consumers is reduced.

    Application developers may also enjoy the benefits of Livepeer. The distributed nature of the network allows them to more efficiently handle network usage spikes on their applications and reduce the need for more expensive transcoding services while scaling videos for a variety of devices and networks.

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