Overview

Gnosis (GNO) is a cryptocurrency that corresponds to the platform of Gnosis Olympia, a company that is working in the world of predictions, it offers individuals a series of possible and real facts, in which they can speculate on the outcome, in case of getting it right, users are rewarded with Gnosis tokens. \n \n It has the necessary structure to improve the world of predictions, this is because it works with blockchain technology, in which it is possible to describe a series of data and information, which when found in the blockchain, this will provide a variety of possible results, which fit the variables. Results that will be found by the users, in which they will be able to visualize the reason for these, the variables that affected, etc. Also, the Gnosis Olympia system allows individuals to create new events and assign the corresponding variables. \n \n Gnosis first appeared in May 2017 with the aim of revolutionizing the digital market of predictions, the platform was founded by two young entrepreneurs Martin Köppelmann and Stefan George, accompanied by 26 other members, who make up the Gnosis Olympia team.

Methods

Days ago, the Gnosis network experimented some sudden changes in its main activity, reaching higher volume than expected.

In this dashboard, we are gonna explore what happened and how users reacted to this. To do so, we will take a deep dive into recent activity on Gnosis, especially recent rapid rises in the number of active users, transactions, and transfers.

The main metrics analyzed are:

• Daily and average transactions
• Daily and average fees
• Daily active and new users
• Daily active users to different receivers
• Daily transactions to wallets
• Distribution of users and transactions to wallets
• Hourly metrics on the top wallet

In this first charts, we can see how the anomaly took place during October 5th day, when all the activity suddenly spiked. Looking at the data from September 1st, we can see how the daily number of transactions reach its ATH on those day, with more than 360k transactions. However, if we consider the average transactions per user, we can see how the average dramatically decreased from a constant average above 20 per user to around only 6. It seems then that the major of the transactions could be done by the same wallets.

Another important aspect to observe are the daily fees and the average fees per transaction. In this case, we can see how the amount of fees decreased during the end of September and in October. Concretely, during the abnormal day, the average transaction per fee reach its all time low, passing from above 0.001 to below 0.0005.

The amount of active users also increased considerably, passing from below 3k to above 50k. A curious data is that the major of these active users were new users on the platform interacting for the first time those day.

Finally, another important fact is that the major of these new wallets that makes the platform jumps in activity, also interacted with the same wallet. For this reason, the next analysis is about the receptors wallets.

Global Gnosis chain metrics evolution

Metrics evolution for the wallet receptors

If we focus on the found wallet, we can see how it received transfers only during 4 hours during October 5th, and sent transfers only one time after receiving the transfers.

Looking at the volume, we can see how all the amount received during those 4 hours were sent out in a single transactions after that.

All of the transfers received from this wallet was with an average of 0.01, while the transfer out has a volume over 500.

Key insights

• The anomaly took place during October 5th day, when all the activity suddenly spiked.
• The average transactions per user dramatically decreased from a constant average above 20 per user to around only 6. It seems then that the major of the transactions could be done by the same wallets.
• The amount of fees decreased during the end of September and in October. Concretely, during the abnormal day, the average transaction per fee reach its all time low, passing from above 0.001 to below 0.0005.
• The amount of active users also increased considerably, passing from below 3k to above 50k. A curious data is that the major of these active users were new users on the platform interacting for the first time those day.
• Regarding the receptors activity, we can see the huge increase on the transactions received over the first week of October.
• The 0x37… wallet received almost 50% of the users interactions, but only received the 3% of the total transactions since September 1st.
• The 0x37… wallet received transfers only during 4 hours during October 5th, and sent transfers only one time after receiving the transfers. The amount received during those 4 hours were sent out in a single transactions after that. All of the transfers received from this wallet was with an average of 0.01, while the transfer out has a volume over 500.

Regarding the receptors activity, we can see the huge increase on the transactions received over the first week of October. It seems that not only the previous aforementioned wallet received a lot of transactions. However, in green we can see a rpeviously active wallet that jumped in interactions. But the 0x37… wallet only received transactions on October 5th.

In fact, if we take a look at the donut charts, we can see how the wallet that received almost 50% of the users interactions, only received the 3% of the total transactions since September 1st.

Specific top wallet receptor analysis