Defilama moves to raise a flag on Aster and set the listing due to suspected trade volume data -

Key takeout

Defillama has listed Aster’s permanent volume data due to concerns about suspicious trading patterns.
Aster’s trading volume closely reflects that of Binance, raising questions about potential washing transactions.

Defillama is removing Aster’s permanent trading statistics from the platform following a study that found that the data was nearly identical to Binance’s permanent futures volume, Defillama’s pseudonym founder, 0xngmi, said in a recent post on X.

According to 0xngmi, trading pairs such as Aster’s Xrusdt and Ethusdt correlated almost 1:1 with Binance’s trading patterns.

However, without access to low-level execution data, Defillama’s team cannot determine whether the mirror volume is the result of a wash transaction or synthetic replica.

Until such data is available, Defillama will list Aster’s Perp volumes from the list to maintain data integrity.

“What I’m interested in is the integrity of our data,” said 0xngmi, noting that he does not retain position or affiliation to either Aster or high lipids.

Aster, a competitor of decentralized permanent permanent exchange hyperliquid, saw native token aster fall from $2 to $1.8 following 0xngmi’s comments, according to on-chain data.

The token was released in mid-September and had reached $2.4 for a short time by the end of the month. Last month, Aster became a major dispersed permanent exchange with daily fees exceeding high lipids.

Defilama’s decision to list Aster’s permanent trading volume data has sparked a wave of community complaints. In response, 0xngmi reiterated that the move was about data integrity rather than favor.

“Our users trust the data and make investment decisions based on it. They report data that is incorrect to make the wrong decision, said 0XNGMI in a follow-up thread.

0xngmi added that the team quietly deleted Astor’s revenue data previously, but repeatedly found that there was a risk of fueling “conspiracy theory.” He also explained that future changes could make this possible, but adding warnings is not supported by Defilama’s API.

Rejecting the bias claim, 0xngmi noted that Defillama took similar steps against other PARP DEXs on data irregularities.