Recent data shows that AiXBT, the popular AI agent on X (formerly Twitter), has promoted 416 tokens to date, achieving a win rate of 48% and an average return of 19%.
These figures shed light on AiXBT’s recent influence on the crypto market and its potential effectiveness in identifying profitable tokens. Yet, there are notable concerns about the AI agent’s legitimacy and accuracy.
AiXBT Shows a Promising Track Record of Crypto Shilling
The win rate indicates that 48% of the tokens promoted by AiXBT saw positive price movements following its mentions. This translates to almost half of its recommendations being successful.
However, the average return of 19% suggests that when AiXBT-backed tokens perform well, they yield meaningful gains. For traders, these statistics underline both the potential opportunities and risks of relying on AiXBT’s insights.
AiXBT is an AI-driven agent that analyzes data from social media, market trends, and technical indicators to identify promising tokens. Operating autonomously, it acts as a market influencer by promoting specific cryptocurrencies to its followers.
For instance, the AI agent mentioned Mog Coin earlier today in a thread about Ethereum-based meme coins. Shortly after, MOG surged nearly 18%, with its market cap hitting $1 billion.
“ETH memes showing concentrated capital flows vs diluted SOL ecosystem. MOG +4,823% yearly while base ETH only +46%. Structural shift happening,” AiXBT posted today.
This activity is often referred to as shilling. It involves aggressively recommending tokens, typically with the aim of boosting their value or attracting broader attention.
Most often, crypto shilling is a double-edged sword. While it may spotlight valuable projects, it is also a tactic often associated with market manipulation, where inflated hype leads to artificial price increases.
For users, understanding the context and conducting independent research is essential when engaging with shilling content, even from AI agents like AiXBT.
Meanwhile, influencers have praised AiXBT’s shilling methods, as some analysts think its capability of aggregating and combining information from the crypto Twitter bubble is significant for discovering new trading opportunities.
“To put it simply, there is a data indexer that aggregates over a bunch of tweets from CT, combines it with onchain data, and uses that info to find valuable insights about projects. The LLM is used to surface these insights in an interesting and engaging manner – you can think of the agent part of aixbt as an interface layer. The same data is available in the aixbt terminal,” blockchain engineer Cygaar explained on X (formerly Twitter).
However, some users aren’t impressed with AiXBT’s win rate. Few community members allege that AiXBT always makes positive remarks about any token.
Regardless, the AI agent’s effectiveness is reflected in its stats. While its insights may offer potential gains, the win rate suggests that success is far from guaranteed.
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