Bebop Exchange
Bebop is a decentralized trading platform that delivers a breakthrough in user experience for trading in DeFi that are going to offer the most accurate prices with no slippage or unexpected fees [1].
Bebop differs from other DeFi trading platforms in a number of ways. In the other word, it offer multiple token trades, no slippage, and network fees included in the quoted price.
Multi-token trades: In addition to being able to trade one token for another, Bebop allows users to perform multiple token trades, all in one transaction. Trade one token for a portfolio of up to 5 tokens or several tokens for one - these are our signature “one-to-many” and “many-to-one” functionalities.
No slippage: Bebop offers superior execution. Bebop’s users get no slippage, which means that they can trade exactly at the price they see and that the price does not change once trade has been initiated.
Fees included: Bebop delivers full transparency into how quotes are calculated. Network fees are also included in the price that is quoted, so our users do not encounter any unexpected network fees [2].
It would be helpful to know more about how Bebop achieves these features and how it differs from other DeFi trading platforms in terms of its underlying technology and architecture. It would also be important to understand how Bebop ensures the security and integrity of its platform, as well as how it manages liquidity and market-making.
To figure out how well Bebop Exchange's decentralized trading platform works, we made a dashboard with several pages that looks at swap metrics for the three chains it works with: Ethereum, Polygon, and Arbitrum.
Using Flipside's core.ez_decoded_event_logs tables on Ethereum and Polygon and the core.fact_event_logs table on Arbitrum, we tracked Bebop's contract address to gather relevant data on trades.
On the first page of the dashboard, we give an overview of all three chains by showing the number of transactions, the number of active users, and the number of new users over time. The time interval parameter is set to "day" by default, but can be easily changed to "week" or "month" by changing the Time_Interval parameter as shown above.
The subsequent pages provide a detailed analysis of swap metrics for each chain over time, as well as in a cumulative state.
The sixth page of the dashboard features visualizations that allow users to track activities for a specific wallet address, displaying the number of trades, traded volume in USD, and fees spent by putting the desired address in the above parameter.
Overall, our method gives a full picture of Bebop's performance, so users can make decisions based on real-time data that are well-informed.
It's important to know that our queries are live and that the visuals are updated every 24 hours. This makes sure that our analysis is always based on the most recent data.