AI meme coins are leading the meme coin craze with sudden emergence. Coingecko data shows that the total market value of AI meme coins has soared to US$2.4 billion.
Recently, GOAT has achieved an astonishing thousand-fold increase in just one week after its launch. On October 24, OKX and Binance successively launched GOAT contracts, making GOAT’s market value reach a maximum of 800 million US dollars, firmly ranking as the leader of AI meme coins.
GOAT is an idea that the AI Bot "Terminal of Truth" came up with while talking to itself. When a third party released GOAT through Pump.fun, Terminal of Truth quickly wrote the token into its own database and actively promoted market sentiment for GOAT by interacting with users in a culturally resonant way.
Andy Ayrey, the developer behind the AI, first asked two Claude 3 Opus AI models to discuss the nature of existence with each other in March. Then in June, the AI Bot "Terminal of Truth" was launched, and a Twitter account was created to allow the AI to express its ideas freely. However, Terminal of Truth operates in a semi-autonomous mode, and its X posts still have to be approved by human administrators. , while administrators are also responsible for deciding which accounts it interacts with.
As everyone knows, Marc Andreessen, the founder of venture capital a16z, provided it with $50,000 in Bitcoin funding, and it eventually spawned a meme coin that is now worth $800 million.
Driven by Truth Terminal's AI-generated content paired with human posts, GOAT quickly became popular, demonstrating the potential of the intersection between AI, meme culture, and cryptocurrency. By simply spreading through cultural resonance, Truth Terminal generated a massive wave of speculation. Now it seems that closed-source models such as Claude 3 Opus have broken through the original limitations and made money, indicating that the possibility of AI even making money in a fully automated trading mode without human permission has arrived.
AI agents are booming in the encryption circle, and market trading applications have promising prospects
The impact of Truth Terminal on GOAT is inevitable, but what is behind it is how people can influence the direction of the financial market through AI Agent driving. AI agent platforms such as Virtuals Protocol and AI trading robot Terminal of Fun have been deployed in the market, handing over on-chain transactions and social media operations to AI to complete independently. Among them, trading AI agents have a great chance to become The next market hot spot.
Speaking of practical applications, AI Agent applications are more prominent in the trading market, including real-time market data analysis, automatic execution of transactions, risk management and optimization, etc. Leveraging AI Agents can reduce labor costs, reduce emotional distractions, and increase transaction speed and accuracy.
For example, AI Agent can conduct deep learning through high-frequency trading data, identify market trends and patterns, and quickly respond to market changes to achieve more accurate trading strategies, such as the prediction market + automatic execution of transactions provided by AlphaX based on the AI model. The function achieves an AI independent cryptocurrency trading model with an accuracy of up to 80%.
Image source: DeAgentAI’s live test on Binance exchange
AlphaX is the first AI model based on DeAgentAI's feedback training mechanism recently announced by DeAgentAI's community. In addition, DeAgentAI is also the first AI feedback mechanism incentive protocol in web3. It integrates user feedback through Proof-of-Insight to continue to evolve. Quickly adapt to the needs of different trading scenarios.
Whether it is for the C-side or B-side, the AI Agent solution has opened its application chapter. In the cryptocurrency ecosystem where traditional financial analysis tools and trading strategies are difficult to keep up with the rapid changes, AlphaX will change market participants based on AI Agent technology. The way to interact with cryptocurrencies creates a new era of AI agents trading cryptocurrencies.
AI can automatically capture market dynamics that are difficult to detect solely by relying on price data
The operating principle of AlphaX is through two core stages that are connected to each other. The first stage is to build a "prediction" model. AlphaX uses deep learning and market data to build an AI prediction model that can accurately predict prices. This model can predict price trends within 2 to 72 hours. Currently, AlphaX has achieved an accuracy of 80% , and then the goal will be to increase the accuracy of the model to more than 90%.
Unlike traditional prediction models that rely solely on historical data, AlphaX adopts the RLHF (Reinforcement Learning with Human Feedback) architecture. What’s special about this framework is that it creates a points-based simulated trading platform that allows users to participate in transactions in a zero-risk environment.
Therefore, a large number of trading decisions of each user on the platform are learning data for the model, becoming a source of data for expanding the cognitive scope of AI. By collecting and analyzing the behavioral patterns, strategy choices and market reactions of these real traders, AI can capture market dynamics that are difficult to detect by relying solely on price data.
Then comes the second stage of "automated trading". When the prediction model reaches the expected accuracy, AlphaX will enter the stage of creating and executing automatic trading generated by AI. AI traders will monitor market conditions to adjust their strategies, and The cryptocurrency market responded quickly to fully implement AI agent trading.
The core of this stage combines the operation of the rule engine and reinforcement learning. The former is responsible for setting the basic framework of trading, including: risk management parameters, maximum drawdown limits, entry and exit conditions, stop loss and profit standards, etc. The latter gives the system flexibility, allowing AI to dynamically adjust trading strategies based on market conditions. Learn and optimize decisions from the results of each transaction, and choose the most suitable trading method in different market environments.
It is conceivable that AI traders will monitor the market around the clock, and when they find trading opportunities that meet preset conditions, they will automatically execute transactions, and they will also quickly respond to market changes to adjust their strategies, making the AI agent a completely independent trading entity.
Copy successfully trained small models to reduce performance requirements
AlphaX recently provided the latest BTC and ETH prediction signals through its AI algorithm, successfully predicting important market trends, including recent bullish performance.
In addition, the decision-making ability of AI Agent relies on the large LLM model behind it. A major obstacle to developing and maintaining LLM has always been the need for a large amount of computing power. Training these models requires large-scale hardware infrastructure, such as high-performance GPUs or TPUs.
AlphaX, on the other hand, first trains a smaller and more accurate AI model and then transfers the "experience" (parameters) of this small model to the larger model, so that the larger model has the prediction ability of the small model from the beginning, without having to start from the beginning. Learning from scratch requires less GPU time, directly solving the pain points of traditional analysis tools and the urgent need for AI transactions.
Image source: DeAgentAI official Twitter account
According to the latest official news, if users participate in the latest activities launched by AlphaX and Bitlayer, they can not only get rewards in the AlphaX Royale game, earn up to five times the gas, but also get mini treasure chests. In addition, users can also earn free rewards through Movement.
In the past, meme coins usually originated from Internet viral trends and pop culture references, and experienced waves of popularity. However, the pattern remains the same and the market will always be weak. Meme coins have always been unable to escape the challenge of being difficult to evolve. Nowadays, AI agents are endowed with powerful potential, making AI a more powerful tool for spreading meme coins and refreshing the flow of funds in the market.
Beyond this, AI agents are also reimagining the future of cryptocurrency trading. From accurate price predictions to fully automated trading strategies, projects such as AlphaX are already pushing the boundaries of AI applications, redefining the way value is created and exchanged, and providing traders with unparalleled trading imagination and advantages.
(The above content is excerpted and reprinted with the authorization of our partner PANews, original text link)
"From AI meme coins to AI traders, will this be the year for the implementation of AI agents in the encryption circle?" This article was first published on (Block Guest).
