Overtime Markets - Volume
This dashboard here gives a total idea about the over time markets in the Optimism since the last two weeks especially looking into the bets, the games, the sports as well as the users who are the betters in this context in detail.
INTRODUCTION
Overtime Markets, a Thales-based automated market maker (AMM) venue for the sports market, announced that it had connected with Chainlink oracles on the Optimism mainnet. In terms of decentralization, the very integration enables Overtime to get the best sports data from the largest oracle network worldwide, enabling the team to provide the genuine on-chain odds and maintain the Overtime sports markets. Regarding networks of oracles, Chainlink is regarded as the industry leader. It provides blockchain-based venues with a decentralized and safe avenue that includes Price Feeds (pricing data), VRF (randomization), keepers (automation), among many other features. The Chainlink group indicated that smart contracts will be built and improved by oracles in June 2021 and would be used to extend the reach of the sports markets.
You may engage in several positional markets using simple-to-understand derivatives on the Thales Market, which is both a protocol and a platform.
Thales, along with the products built on top of it, are proving to be not only a great complement to perpetual futures and vanilla options, but also a world unto itself full of possibilities for those who value decentralization, innovation, and simple but effective design. Thales has over $5 million in volume and thousands of traders.


METHODOLOGY
Initially the total transactions and the users involved in transacting in the past two weeks are charted .Then the popular sports and the users, volume and the bets are also charted by aggregating with the sport.Also the unique users and the transactions are charted over time to analyze the trend.Then as we know the sports the total number of betters, the volume as well as the count of the transactions involved are also considered.Then the volume over different stable coins with the dates are also accounted.Next, the top 25 Gainers in the protocol with the volume of gain is charted.Then the gain and the loss of the users are accounted to see the users who got profit or loss in betting.Also the cumulative number of bets, the betting games are also counted.Now with the users, the bets and the gain or loss occurred to the users are also charted.Then the average profit, the average sell as well as the totals are also accounted for the users for Games and sports.Then the users with the average bets and the average gain and loss are also accounted and finally the users with different categories of the gain or the loss is charted for here with different categories representing the volume of the gain or the loss that the users had made with their betting. As a summary this is variety of views over the same idea.
The pie diagrams here represent the total number of users and the total transactions that have indulged in the overtime betting events since the past two weeks.It is noted that the all period mentioned here correspond to the dates greater than 14 days from the day of analysis.
The scatter chart here represents the sport events and the volume that is betted for each event and it is seen that baseball has the highest volume betted than others.
This representation indicates the chart that shows the sports and the total bets that happened in each sports and it follows the same trend as the volume.
This is a follow up chart of the above given scattered plots where it displays the total users in the network with the baseball having 216 bidders in the past 14 days.
The transactions and the users who have placed their bets in the overtime protocol in the past 14 days are charted here with the trend line and the area plot and it is seen that the transactions have a different trend in the chart when on comparison with the unique users.
The charts here displays the distinct count of the values that corresponds to the total transactions that contributed for the bet and the distinct users and the total volume of the bet transactions.All these corresponds to just the users with the users indulged in bidding.
The chart here shows the volume that has been betted over the past 14 days and it is seen that the trend do not seem to be a linear one. Also the chart displays the influence of the stable coins and it is seen that SUSD has been the most used stable coin.
The top 25 users who had gained the most profit by bidding and the volume is charted here.
On an overall consideration it is seen that the loss percentage is higher than the profit percentage.
The total games that are involved in the betting and the total bets that have been made for these games are charted here.
The overall gains and the losses happened to the users are charted here and it is clear to identify that the negative values are the loss and the positive values as the profits.
The total bets and the users who made the transactions are charted here .
The total buys and sells happened in the overtime protocol over the users are charted here.
The total profit and the loss happened with the users are charted here with the cumulative, average and the percentage of the profit which got for all the users.
As mentioned in the top, the average buy and sell over the distinct users are charted here.
The games and the sports that are involved in the bidding and the users who have indulged are also charted here.
The profit over the three games are shown in the left and the buy of the bets over the three sports are charted with the users here on the right and it indicates that the baseball has made the highest.
The users , the claim and the sport are charted here along the users in the x axis and to see the popularity of the sport among the users.
In general, the average bets that is done by the users are charted here by accounting the total bets and the users.
The final chart here shows the different category who has made gains and loss with the bidding in the overtime protocol is charted here and it is seen that the most users have made between 0 and 1500$ loss and only 9 users has made more than 1500$ gain and 27 having less than 1500$ as gain.