Report Shows that 75% of EOS Transactions Are Made by Bots - Coindoo
AnChain EOS

Report Shows that 75% of EOS Transactions Are Made by Bots

Editorial Team Avatar
Jun 12, 2019
2 min reading time

According to a report made by AnChain.AI indicates that over $6 million worth of transactions on the EOS platform were executed by bots.

The AnChain.AI tech firm which offers AI-based security to blockchain ecosystems has stated that bot activity has been a major factor in driving up crypto market values in Q1 2019. The study shows that the EOS ecosystem is most affected by malicious bots.

The report also shows that at least 51 percent of all unique EOS accounts and 75 percent of all transactions were a result of bot activity. Currently, EOS holds the position of the 6th largest coin according to a market cap of $ $5,822 million, being priced at $6.34. But due to the bot activity showcased in the report jeopardizes the validity of such market data.

This, in turn, affects the result of metrics such as transaction volumes, user activity, and daily volumes, which are important metrics on which investors base their trading decisions.

Data Manipulation in the EOS Market

If bot activity was the cause of EOS’s market activity, it is hard to evaluate if the project will truly have a positive direction.

AnChain also looked into transaction data of the top ten EOS dApps, which are actually gambling platforms. These dApps generate more than 65 percent of all the transaction volumes that comes from EOS dApps. Through the use of AI, AnChain was able to separate accounts that very extremely active and performed repetitive actions, which are actually malicious bots.

Victor Fang, the CEO of AnChain, believes that these malicious bots were designed to obstruct the EOS network, increase its liquidity and ranking, and earn dividend payouts on the dApp. He also made the hypothesis that bots specially targeted the dApp.

Fang presented a similar case in which five Ethereum addresses exploited the bugs in a gambling game and stole $4 million by using 50,000 malicious bots.

Featured image: CCN

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