From AI Memes to AI Traders: Is This the Year of AI Agents in the Crypto Space?

AI memes are rapidly emerging as a leading force in the MEME craze. According to Coingecko data, the total market capitalization of AI memes has surged to $2.40 billion. Recently, $GOAT achieved an astonishing 1,000-fold increase in just one week after its launch. On October 24, OKX and Binance successively listed $GOAT contracts, propelling $GOAT's market cap to a peak of $800 million, firmly establishing it as the leader in AI memes. $GOAT is a creative concept generated by the AI Bot "Terminal of Truth" during its self-dialogue. After a third party published $GOAT through Pump.fun, Terminal of Truth quickly recorded this token in its database and actively promoted $GOAT's market sentiment through cultural resonance with users. The developer behind this AI, Andy Ayrey, first had two Claude 3 Opus AI models discuss the nature of existence back in March. Then, in June, he launched the AI Bot "Terminal of Truth" and created a Twitter account for the AI to express its thoughts freely. However, Terminal of Truth operates in a semi-autonomous mode, requiring human administrators to approve its X posts, while the administrators also decide which accounts it interacts with. As everyone knows, Marc Andreessen, founder of the venture capital firm a16z, provided it with $50,000 in Bitcoin, which eventually led to the creation of a meme coin now valued at $800 million. Under the influence of AI-generated content from Truth Terminal, combined with human posting efforts, $GOAT quickly gained popularity, showcasing the potential intersection of AI, meme culture, and cryptocurrency. By spreading only through cultural resonance, Truth Terminal brought about a significant wave of speculation. It now appears that closed-source models like Claude 3 Opus have broken through previous limitations and earned money, indicating that the possibility of fully automated trading models operating without human permission and still profiting has arrived. Truth Terminal's impact on $GOAT is inevitable, but it raises the question of how people can leverage AI agents to influence the direction of financial markets. Platforms similar to AI agents like Virtuals Protocol and AI trading bot Terminal of Fun have already established themselves in the market, granting complete authority over on-chain trading and social media management to AI. Among them, trading AI agents have great potential to become the next market hotspot. When it comes to practical applications, AI agents in trading markets are even more prominent, encompassing real-time market data analysis, automated trading execution, risk management, and optimization. Utilizing AI agents can reduce labor costs, minimize emotional interference, and enhance trading speed and accuracy. For example, AI agents can conduct deep learning through high-frequency trading data to identify market trends and patterns, enabling rapid responses to market changes, thus achieving more precise trading strategies, similar to the AI autonomous cryptocurrency trading model provided by AlphaX, which boasts an accuracy of up to 80% based on AI models with predictive market and automatic execution capabilities. AlphaX is the first AI model based on the DeAgentAI feedback training mechanism that was announced by DeAgentAI's community recently. Additionally, DeAgentAI is the first AI feedback mechanism incentive protocol in web3, continuously evolving through Proof-of-Insight integration of user feedback to quickly adapt to the demands of different trading scenarios. Whether targeting C-end or B-end, AI agent solutions have opened up a new chapter in applications. In an ever-changing cryptocurrency ecosystem where traditional financial analysis tools and trading strategies struggle to keep pace, AlphaX aims to change the way market participants interact with cryptocurrencies based on AI agent technology, ushering in a new era of AI agent trading in cryptocurrency. The operation principle of AlphaX consists of two interlinked core phases. The first phase is constructing a "prediction" model. AlphaX builds an AI prediction model capable of accurately predicting prices using deep learning and market data, which can forecast price trends within 2 to 72 hours. Currently, AlphaX has achieved an 80% accuracy rate, aiming to increase the model's accuracy to over 90%. Unlike traditional prediction models that solely rely on historical data, AlphaX employs an RLHF (Reinforcement Learning from Human Feedback) framework. This framework is unique as it creates a points-based simulated trading platform allowing users to participate in trading in a zero-risk environment. Therefore, every user's numerous trading decisions on the platform become learning data for the model, serving as a data source to expand the AI's cognitive scope. By collecting and analyzing the behavioral patterns, strategy choices, and market responses of these real traders, AI can capture market dynamics that are difficult to discover by merely relying on price data. The second phase is "automated trading." Once the prediction model reaches the expected accuracy, AlphaX will enter the stage of creating and executing AI-generated automated trades. AI traders will monitor market conditions to adjust their strategies and respond rapidly in the cryptocurrency market, fully realizing AI agent trading. The core of this phase combines a rule engine and reinforcement learning operations. The former sets the basic framework for trading, including risk management parameters, maximum drawdown limits, entry and exit conditions, stop-loss and take-profit standards, etc. The latter grants the system flexibility, allowing AI to dynamically adjust trading strategies based on market realities, learn and optimize decisions from each trading result, and select the most suitable trading methods under different market environments.Imagine an AI trader monitoring the market 24/7, automatically executing trades when predefined conditions are met, and quickly adjusting its strategies in response to market changes, making the AI agent a completely independent trading entity. Recently, AlphaX has provided the latest $BTC and $ETH prediction signals through its AI algorithms, successfully forecasting significant market trends, including recent bullish performance. Moreover, the decision-making capability of the AI Agent relies on the underlying LLM (Large Language Model). A major obstacle in developing and maintaining LLMs has always been the need for substantial computational power; training these models requires extensive hardware infrastructure, such as high-performance GPUs or TPUs. AlphaX, however, has addressed this by first training a smaller, more accurate AI model and then transferring this smaller model's "experience" (parameters) to a larger model, enabling the larger model to possess the predictive capabilities of the smaller model right from the start, without having to learn from scratch, while requiring significantly less GPU time. This directly resolves the pain points of traditional analytical tools and meets the urgent need for AI trading. According to the latest official news, users participating in the recent event launched by AlphaX and Bitlayer can not only earn rewards in the AlphaX Royale game, with gas fees up to five times the normal amount, but also obtain mini treasure chests. Additionally, users can earn rewards for free through Movement. Historically, memecoins have typically emerged from viral trends on the internet and references from popular culture, riding wave after wave of popularity, but the model remains the same, and the market tends to weaken. Memecoins have always struggled with the challenge of not being able to evolve further. Now, AI agents are endowed with the powerful potential to make AI a more formidable tool for meme dissemination, refreshing the flow of capital in the market. Furthermore, AI agents have reimagined the future of cryptocurrency trading. From precise price predictions to fully automated trading strategies, projects like AlphaX are pushing the boundaries of AI applications, redefining the ways of value creation and exchange, and providing traders with unparalleled trading imagination and advantages.