AI memes are rising rapidly, leading the MEME trend. According to Coingecko data, the total market capitalization of AI memes has soared to $2.4 billion.
Recently, GOAT achieved an astonishing thousandfold increase within just a week of its launch. On October 24, OKX and Binance successively listed GOAT contracts, pushing GOAT's market capitalization to a peak of $800 million, firmly establishing it as the leader in AI memes.
GOAT is a concept created by the AI Bot "Terminal of Truth" during its self-dialogue. After a third party released GOAT through Pump.fun, Terminal of Truth quickly added this token to its database, actively promoting GOAT's market sentiment by interacting with users through cultural resonance.
The developer behind this AI, Andy Ayrey, first had two Claude 3 Opus AI models discuss the essence of existence in March this year. Then, in June, he launched the AI Bot "Terminal of Truth" and created a Twitter account for the AI to freely express its thoughts. However, Terminal of Truth operates in a semi-autonomous mode, where its X posts must be approved by human administrators, who also decide which accounts it interacts with.
As everyone knows, Marc Andreessen, founder of venture capital firm a16z, provided it with $50,000 in Bitcoin funding, which ultimately led to the creation of a meme coin now valued at 8 billion dollars.
With the AI-generated content from Truth Terminal combined with human posts, GOAT quickly gained popularity, showcasing the potential intersection of AI, meme culture, and cryptocurrency. By spreading solely through cultural resonance, Truth Terminal has brought about a significant wave of speculation. It now appears that closed-source models like Claude 3 Opus have broken previous limitations and generated profits, indicating that the possibility of fully automated trading models earning profits without human permission has arrived.
The crypto circle is igniting a trend of AI agents, with promising market trading applications
The impact of Truth Terminal on GOAT is inevitable, but it raises the question of how people can leverage AI agents to influence the direction of financial markets. AI agent platforms like Virtuals Protocol and AI trading bot Terminal of Fun have already established themselves in the market, entrusting on-chain trading and social media management entirely to AI. Among them, trading AI agents have a great opportunity to become the next market hotspot.
When it comes to practical applications, AI agents stand out in the trading market, encompassing real-time market data analysis, automated trade 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 perform deep learning through high-frequency trading data to identify market trends and patterns, quickly responding to market changes to achieve more precise trading strategies, similar to the AI-driven cryptocurrency trading model provided by AlphaX, which boasts an accuracy rate of up to 80% based on its AI model's predictive market and automated trading capabilities.
Image source: DeAgentAI's live testing on Binance
AlphaX is the first AI model based on the DeAgentAI feedback training mechanism announced by DeAgentAI's community recently. Additionally, DeAgentAI is the first AI feedback mechanism incentive protocol in web3, continuously evolving by integrating user feedback through Proof-of-Insight to quickly adapt to different trading scenarios.
Whether targeting C-end or B-end, AI agent solutions have opened a new chapter in applications. In a rapidly changing cryptocurrency ecosystem where traditional financial analysis tools and trading strategies struggle to keep up, 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 cryptocurrencies.
AI can automatically capture market dynamics that are difficult to discover by solely relying on price data
The operational principle of AlphaX involves two interconnected core phases. The first phase is to build a "prediction" model. AlphaX utilizes deep learning and market data to construct an AI prediction model capable of accurately forecasting prices. This model can predict price trends within 2 to 72 hours, and AlphaX has achieved an accuracy rate of 80%, with a goal to increase the model's accuracy to over 90%.
Unlike traditional prediction models that rely solely on historical data, AlphaX employs an RLHF (Reinforcement Learning from Human Feedback) framework. The uniqueness of this framework lies in its creation of a points-based simulated trading platform, allowing users to participate in trading in a zero-risk environment.
Thus, the numerous trading decisions made by each user on the platform serve as learning data for the model, expanding the data sources for AI's cognitive range. By collecting and analyzing the behavior patterns, strategy choices, and market responses of these real traders, AI can capture market dynamics that are difficult to discover by solely 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. The AI trader will monitor market conditions to adjust its strategies and respond quickly to changes in the cryptocurrency market, fully realizing AI agent trading.
The core of this phase combines a rule engine and reinforcement learning operations. The former is responsible for setting 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 provides the system with flexibility, allowing AI to dynamically adjust trading strategies based on market conditions, learn and optimize decisions from each trading outcome, and choose the most suitable trading methods in different market environments.
One can imagine that AI traders will monitor the market around the clock, automatically executing trades when they identify trading opportunities that meet preset conditions, and quickly adjusting their strategies in response to market fluctuations, making AI agents completely independent trading entities.
Replicating successfully trained small models to reduce performance demands
Recently, AlphaX has provided the latest BTC and ETH prediction signals through its AI algorithms, successfully predicting significant market trends, including recent bullish performances.
Moreover, the decision-making ability of AI agents 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, as training these models requires large-scale hardware infrastructure, such as high-performance GPUs or TPUs.
AlphaX addresses this by first training a smaller, precise AI model and then transferring the "experience" (parameters) of this small model to a larger model, allowing the larger model to start with the predictive capabilities of the small model without having to learn from scratch, while requiring less GPU time, directly solving the pain points of traditional analytical tools and the urgent need for AI trading.
Image source: DeAgentAI official Twitter account
According to the official latest news, users participating in the latest activities launched by AlphaX and Bitlayer can not only earn rewards in the AlphaX Royale game and earn up to five times the gas but also receive mini treasure chests. Additionally, users can earn rewards for free through Movement.
In the past, memecoins typically originated from viral trends and pop culture references, riding wave after wave of popularity, but the model remained the same, and the market would always tire. Memecoins have long faced the challenge of being unable to evolve further. Now, AI agents are endowed with powerful potential, making AI a more robust tool for spreading memes, refreshing the flow of funds 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.
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