Hodler, academic researcher, or suspicious act investigator, we are all facing the ever-increasing transaction data problem no matter who you are. Therefore, a capable DeFi data analytic tool can empower us in three ways:
With all these undertakings in mind, using our proprietary algorithms, EigenPhi set out to discover the wisdom of DeFi.
We start with the big picture of arbitrage/#MEV on Ethereum and BSC and layered structure data regarding specific arbitrage contracts.
Let’s take a brief tour of EigenPhi to unearth gems that might benefit you.
Open our website: https://eigenphi.io/.
This page has three sections: top, overall arbitrage status, and complementary information.
The top section determines the data shown in the overall status part. You can switch between Ethereum and BSC. Choosing the time period is essential in presenting the long-time winner and the shooting star. You can dig them deeper with EigenPhi’s structure analysis feature.
The upper right corner displays, under the current time period, the overall #MEV profit and the corresponding transaction number. On EigenPhi, all the profit, revenue, and cost are US dollars; unless marked in a specific Token.
There are 4 data areas in the overall status section.
Please be advised that the data you read on the page when reading the article could be different in the figures. As time moves forward, the transaction data filtered into the chosen period of time would be variant.
Next, the complementary section contains three tables independent of the chosen time period.
New Liquidity Pools brings up the latest LPs in descending order of time.
Frequently Used Pools shows the most used LPs and the amount they have made during the last seven days in descending order of amount.
Malicious Tokens helps you identify the tokens with bad intentions and risk types they are carrying.
All three tables have a More button and URL link, which take you to the corresponding list pages to show much more data for you to research.
With the broad view in mind, let us zoom in on one BSC contract.
No one joins the DeFi world to learn less and earn less. To accomplish more, like pinpointing behaviours and dissecting interrelation among participants, you have no choice but to establish the structure inside the contract.
Using EigenPhi, you will be able to find out the general information about a contract, dive into the detailed transaction, and bring to light ways of profitmaking.
Take a look at this contract. The detail page of it is more or less like the homepage.
Current Contract Overview section also calculates the ROI, cost, and profit. The cost includes gas and transaction fees.
Next, let’s crack wide open the best performance transaction of the current contract.
In Current Transaction Flow Overview section, you can read its earnings and share them via Twitter, Telegram, and Reddit.
The most exciting part is Token Flow Chart, in which is all the money. It should be read from the user’s perspective, who kicked off the transaction.
To help you get a basic idea, this is the tokens transfer records captured from BscSCAN:
This graph clarifies the interactions among the hodlers and liquidity pools.
For clarity, the token amount in the text below is rounded.
First, LP 0x61eb received 1599.93 WBNB from Hodler 0x62bc.
In Hodler 0x62bc’s viewpoint, it lost 1599.93 WBNB. But it received 21.37 BTCB from LP 0x61eb, which shows in the second step. So although these BTCB did not transfer directly to Hodler 0x62bc, you can treat them as the asset increasing in terms of the interaction between Hodler 0x62bc and LP 0x61eb. That’s what EigenPhi present it.
Next, LP 0x61eb sent 21.37 BTCB to LP 0xc7e9. And in the third step, LP 0xc7e9 sent 1722.63 WBNB back to Hodler 0x62bc.
Regarding the interaction between LP 0xc7e9 and Hodler 0x62bc, in the Hodler’s eyes, its asset received 1722.63 WBNB at the cost of 21.37 BTCB. Hence the way EigenPhi shows it:
In the end, by implementing the spatial transaction, Hodler 0x62bc’s net gain is 122.699779 WBNB, which shows in the red rectangle below.
Without a doubt, Token Flow Chart simplifies the complexity of the addresses and tokens interweaving, discloses the structures hidden in the contracts, and extracts the critical activities for your consideration.
Sandwich attacks in DeFi have significant consequences, such as marketing manipulation. You can find a more elaborate explanation here.
A sandwich attack is difficult to monitor and detect due to its complex nature. To help investors to identify such malicious transactions, using our in-house algorithms, EigenPhi provides the Sandwich transactions discovering feature.
you can examine the Arbitrage Transaction Profit Leader Board and Arbitrage Transaction(Real-Time Stream). The Type columns in both lists indicate what kind of transaction the row of data is.
Click the row marked as Sandwich, and you can open the particular page of the transaction.
Let’s dig into the details of this one in the Token Flow Chart section.
As it’s a sandwich attack, the victim’s transaction is between the attackers’. So the green row is the poor guy’s address and his deal. The pink rows belong to the attacker. For the sake of clarity, only the last four digits of the address are used for indication.
we can split the whole process as below:
In the long run, EigenPhi aims at unveiling the new structures and behaviours of arbitrage/MEV/attacking in the existing and emerging DeFi protocols. Discovering the wisdom of DeFi is EigenPhi’s mission.
To find out how we achieve the goal, please feel free to follow us on Discord, Medium, Revue, Substack, and Twitter.
Interested in receiving the latest MEV alert? Follow EigenPhi MEV🤖 Alert.