AI meme is leading the MEME craze with its rising momentum. Coingecko data shows that the total market value of AI meme has soared to US$2.4 billion.
Recently, GOAT achieved an astonishing thousand-fold increase in just one week after its launch. On October 24, OKX and Binance successively launched GOAT contracts, allowing GOAT's market value to reach a maximum of US$800 million, firmly maintaining its position as the leader in AI meme.
GOAT is an idea that 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, actively promoting the market sentiment of GOAT by interacting with users in a culturally resonant way.
In March this year, Andy Ayrey, the developer behind the AI, first let two Claude 3 Opus AI models discuss the nature of existence with each other. Then in June, he launched the AI Bot "Terminal of Truth" and created a Twitter account to allow AI to freely express its thoughts, but Terminal of Truth operates in a semi-autonomous mode, and its X posts still have to be approved by human administrators, who are also responsible for deciding which accounts it interacts with.
As we all know, Marc Andreessen, the founder of venture capital a16z, provided it with $50,000 in Bitcoin funding, and it eventually spawned a meme coin that now has a market value of $800 million.
Driven by Truth Terminal's AI-generated content and human posts, GOAT quickly became popular, demonstrating the potential of the intersection between AI, meme culture, and cryptocurrency. Truth Terminal brought a large wave of speculation simply through cultural resonance. 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 fully automated trading models without human permission and even making money has arrived.
AI agents are gaining popularity in the crypto industry , and the prospect of market trading applications is promising
Truth Terminal’s impact on GOAT is inevitable, but what is behind it is how people can influence the direction of the financial market through AI Agents. AI agent platforms such as Virtuals Protocol and AI trading robots Terminal of Fun have already been deployed in the market, giving AI full autonomy over on-chain transactions and social media operations. Among them, trading AI agents have a great chance of becoming the next market hotspot.
When it comes to practical applications, AI Agent is more prominent in the trading market, including real-time market data analysis, automatic transaction execution, risk management and optimization, etc. Using AI Agent can reduce labor costs, reduce emotional interference, and improve transaction speed and accuracy.
For example, AI Agent can conduct deep learning through high-frequency trading data, identify market trends and patterns, and respond quickly to market changes, thereby implementing more accurate trading strategies, just like the market prediction + automatic transaction execution functions provided by AlphaX based on the AI model, which has achieved an AI-autonomous cryptocurrency trading model with an accuracy rate of up to 80%.
Image source: DeAgentAI's real-time test on Binance Exchange
AlphaX is the first AI model based on the DeAgentAI 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 continuously evolve and quickly adapt to the needs of different trading scenarios.
Whether it is for the C-end or the B-end, AI Agent solutions have opened a new chapter of application. In the context of traditional financial analysis tools and trading strategies that are difficult to keep up with the rapidly changing cryptocurrency ecosystem, AlphaX will use AI Agent technology to change the way market participants interact with cryptocurrencies and create a new era of AI agent cryptocurrency trading.
AI can automatically capture market dynamics that are difficult to detect by relying solely on price data
AlphaX operates through two core stages that are interconnected. 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 rate of 80%, and will then aim to increase the accuracy of the model to more than 90%.
Unlike traditional forecasting models that rely solely on historical data, AlphaX uses the RLHF (Reinforcement Learning with Human Feedback) framework. The special thing 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 data source 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 discover by relying solely on price data.
Next is the second stage of "automatic trading". When the prediction model reaches the expected accuracy, AlphaX will enter the stage of creating and executing automatic transactions generated by AI. AI traders will monitor market conditions to adjust their strategies and respond quickly in the cryptocurrency market, fully realizing AI agent trading.
The core of this stage combines the operation of rule engine and reinforcement learning. The former is responsible for setting the basic framework of the transaction, including risk management parameters, maximum retracement limit, entry and exit conditions, stop loss and take profit standards, etc. The latter gives the system flexibility, enabling AI to dynamically adjust trading strategies according to market conditions, learn and optimize decisions from each transaction result, and choose the most suitable trading method in different market environments.
It can be imagined that AI traders will monitor the market around the clock, and when they find trading opportunities that meet the preset conditions, they will automatically execute transactions and quickly adjust their strategies in response to market changes, making the AI agent a completely independent trading entity.
Copy a successfully trained small model 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 depends on the LLM model behind it. A major obstacle to developing and maintaining LLM has always been the large computing power required. Training these models requires large-scale hardware infrastructure, such as high-performance GPUs or TPUs.
AlphaX first trains a smaller and more accurate AI model and then transfers the "experience" (parameters) of the small model to a larger model, allowing the large model to have the predictive capabilities of the small model from the beginning, without having to learn from scratch. At the same time, it only requires less GPU time, directly solving the pain points of traditional analysis tools and the rigid needs of AI trading.
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 rewards for free through Movement.
In the past, memecoins were often derived from viral trends and pop culture references, and they became popular one after another, but the pattern remained the same and the market was always weak. Memecoin has always been unable to escape the challenge of being difficult to evolve. Now AI agents are endowed with powerful potential to make AI a more powerful tool for spreading memes, refreshing the capital flow of a wave of the market.
In addition, AI agents have reimagined the future of cryptocurrency trading. From precise price predictions to fully automated trading strategies, projects such as AlphaX are pushing the boundaries of AI applications, redefining the way value is created and exchanged, and providing traders with unparalleled trading imagination and advantages.
