AI memes are rapidly leading the meme coin trend, with Coingecko data showing that the total market cap of AI memes has soared to $2.4 billion.

Recently, GOAT, after being launched, saw an incredible 1000x increase within just one week. On October 24, GOAT contracts were listed on both OKX and Binance, pushing its market cap to a peak of $800 million. This firmly established it as the leader in the AI meme space.

GOAT was an idea that came to life through the AI Bot “Terminal of Truth” during its self-reflections. After a third party released GOAT through Pump.fun, the Terminal of Truth quickly added the token to its database and began engaging with users in a way that resonated culturally, proactively driving the market sentiment for GOAT.

The AI’s developer, Andy Ayrey, initially had two Claude 3 Opus AI models discuss the nature of their existence back in March. Then in June, he launched the AI Bot “Terminal of Truth,” creating a Twitter account where the AI could freely express its thoughts. However, Terminal of Truth operates in a semi-autonomous mode, where its posts on X still require approval from human administrators, who also determine which accounts the AI interacts with.

As is well known, Marc Andreessen, co-founder of venture capital firm a16z, provided $50,000 worth of Bitcoin to the project. It eventually led to the creation of a meme coin with a current market cap of $800 million.

With the autonomous content generation by Truth Terminal, combined with human-driven posts, GOAT quickly became a sensation, showcasing the potential convergence of AI, meme culture, and cryptocurrency. Through the cultural resonance alone, Truth Terminal sparked a significant speculative wave. It now seems that AI, with models like Claude 3 Opus, has broken its original limits and even managed to earn funds, signalling the possibility of fully automated trading systems that could generate profits without human approval.

AI Agents Spark Crypto Revolution, with Bright Market Trading Prospects

While Truth Terminal’s impact on GOAT is clear, the real story lies in how AI agents are shaping and influencing the direction of financial markets. Platforms like Virtuals Protocol and AI trading bots such as Terminal of Fun have already made their mark in the market, fully entrusting on-chain trading and community media operations to AI for autonomous completion. Among these, AI-powered trading agents are likely to be the next big trend in the market.

In terms of practical applications, the use of AI agents in trading markets is especially prominent, covering real-time market data analysis, automated trade execution, risk management, and optimization. By utilizing AI agents, firms can reduce labor costs, eliminate emotional interference, and increase trading speed and accuracy.

For example, AI agents can use high-frequency trading data for deep learning, recognizing market trends and patterns, and quickly responding to market changes to implement more precise trading strategies. This is akin to the AlphaX project, which provides market predictions and automated trade execution based on AI models, achieving an accuracy rate of up to 80% for autonomous cryptocurrency trading.

Image Source: DeAgentAI’s Live Testing on Binance Exchange

AlphaX is the first AI model based on DeAgentAI’s feedback training mechanism, announced by DeAgentAI as part of its community launch. Additionally, DeAgentAI is the first AI feedback mechanism incentive protocol in Web3, using Proof-of-Insight to integrate user feedback, continuously evolving to quickly adapt to the needs of different trading scenarios.

Whether aimed at the consumer (C-end) or business (B-end) market, AI Agent solutions have opened the application chapter. In the 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 by utilizing AI Agent technology, paving the way for a new era of AI-driven cryptocurrency trading.

AI Can Automatically Capture Market Dynamics That Price Data Alone Cannot Uncover

AlphaX operates through two interconnected core stages. The first stage is to build the “prediction” model. AlphaX uses deep learning and market data to create an AI prediction model that accurately forecasts price trends over a period of 2 to 72 hours. Currently, AlphaX has achieved an 80% accuracy rate, with a goal to increase this to over 90%.

Unlike traditional predictive models that solely rely on historical data, AlphaX uses an RLHF (Reinforcement Learning with Human Feedback) framework. The uniqueness of this framework lies in its creation of an integral-based simulated trading platform, allowing users to participate in trading within a zero-risk environment.

As a result, the extensive trading decisions made by users on the platform become valuable learning data for the model, expanding the AI’s cognitive range. By collecting and analyzing the behavior patterns, strategy choices, and market reactions of real traders, AI can uncover market dynamics that price data alone cannot reveal.

The second stage is “automated trading.” Once the prediction model reaches the expected accuracy, AlphaX will enter the phase of creating and executing AI-generated automated trades. The AI trader will monitor market conditions to adjust its strategies and quickly react to changes in the cryptocurrency market, fully realizing AI-driven trading.

The core of this phase combines rule engines and reinforcement learning. The former is responsible for setting up the basic framework of the trade, including risk management parameters, maximum drawdown limits, entry and exit conditions, and stop-loss and take-profit standards. The latter provides flexibility, enabling the AI to dynamically adjust trading strategies based on real-time market conditions, learn from the results of each trade, optimize decision-making, and choose the most appropriate trading method under different market environments.

One can imagine that the AI trader will monitor the market 24/7. When a trade opportunity meeting preset conditions is identified, it will execute the trade automatically and quickly adjust its strategy in response to market changes, making the AI agent a fully autonomous trading entity.

Copy Successful Trained Small Models, Reducing Performance Demands

Recently, AlphaX used its AI algorithm to provide the latest BTC and ETH prediction signals, successfully forecasting key market trends, including recent bullish performance.

Additionally, the decision-making capability of the AI Agent relies on the large LLM (Large Language Model) behind it. A major obstacle in developing and maintaining LLMs is the immense computational power required. Training these models demands large-scale hardware infrastructure, such as high-performance GPUs or TPUs.

AlphaX solves this by first training a smaller and more accurate AI model and then transferring the “experience” (parameters) from this smaller model to the larger model. This allows the larger model to start with the prediction ability of the smaller model, without needing to learn from scratch, and requires significantly less GPU time. This directly addresses the pain points of traditional analysis tools and the growing demand for AI-powered trading.

Image Source: DeAgentAI Official Twitter Account

According to the latest official announcement, users who participate in the new activity launched by AlphaX and Bitlayer can not only earn rewards in the AlphaX Royale game and up to five times the gas fees but also receive mini treasure chests. Additionally, users can earn rewards for free through Movement.

In the past, memecoins typically emerged from viral internet trends and popular cultural references, rising to fame in waves. However, the model remained the same, and the market eventually became stagnant, with memecoins facing the ongoing challenge of lacking evolution. Today, AI agents are being endowed with the powerful potential to turn AI into a stronger tool for spreading memes, redirecting the flow of capital in the market.

Moreover, 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 offering traders unparalleled trading possibilities and advantages.

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