AI memes are leading the MEME trend with a remarkable rise. According to Coingecko, the total market capitalization of AI memes has soared to $2.4 billion.
Recently, GOAT achieved an astonishing thousand-fold 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 an idea generated by the AI Bot "Terminal of Truth" in its musings. After a third-party published GOAT through Pump.fun, Terminal of Truth quickly wrote this token into its database, actively promoting GOAT's market sentiment through cultural resonance with users.
The developer behind this AI, Andy Ayrey, first allowed two Claude 3 Opus AI models to discuss the nature of existence in March this year. In June, he launched the AI Bot "Terminal of Truth" and created a Twitter account for AI to freely express its thoughts. However, Terminal of Truth operates in a semi-autonomous mode, and its X posts still need to be approved by human administrators, who also decide which accounts it interacts with.
As everyone knows, Marc Andreessen, the founder of venture capital a16z, provided $50,000 in Bitcoin funding, which ultimately led to the creation of a meme coin now valued at $800 million.
Under the AI-generated content of Truth Terminal, combined with human posting efforts, GOAT quickly rose to fame, showcasing the potential intersection of AI, meme culture, and cryptocurrency. By spreading solely through cultural resonance, Truth Terminal has brought a significant wave of speculative frenzy. It now seems that the closed-source model Claude 3 Opus has broken through previous limitations and earned funds, indicating that the possibility of fully automated trading models without human permission, which can even earn money, has arrived.
The AI agent craze has swept the crypto circle, and the market trading application prospects look promising.
The influence of Truth Terminal on GOAT is inevitable, but what it raises is how people can drive and influence the direction of financial markets through AI Agent. Platforms like Virtuals Protocol and AI trading robot Terminal of Fun have already laid out in the market, entrusting the sovereignty of on-chain trading and social media operations entirely to AI to autonomously complete, among which trading AI agents have a great opportunity to become the next market hotspot.
Speaking of practical applications, the application of AI Agent in the trading market is more prominent, including real-time market data analysis, automated execution of trades, risk management, and optimization. Using AI Agent can reduce labor costs, minimize emotional interference, and increase trading 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, achieving more precise trading strategies. Like the AI autonomous cryptocurrency trading model provided by AlphaX, which has an accuracy rate of up to 80% based on its AI model's predictive market + automated execution trading functionality.
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 also the first AI feedback mechanism incentive protocol in web3, continuously evolving by integrating user feedback through Proof-of-Insight to quickly adapt to the needs of different trading scenarios.
Whether targeting the C-end or B-end, the AI Agent solution has opened the chapter of application. 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, creating a new era of AI agency trading in cryptocurrencies.
AI can automatically capture market dynamics that are difficult to discover by purely relying on price data.
The operation principle of AlphaX is through two interconnected core stages. The first stage is to build a "predictive" model. AlphaX uses deep learning and market data to construct an AI predictive model that can accurately predict prices. This model can forecast price trends within 2 to 72 hours and has currently achieved an accuracy rate of 80%, with the goal of raising the model's accuracy to above 90%.
Unlike traditional predictive models that rely solely on historical data, AlphaX adopts the RLHF (Reinforcement Learning with Human Feedback) framework. What makes this framework special is that it creates a point-based simulated trading platform, allowing users to participate in trading in a zero-risk environment.
Therefore, the large number of trading decisions made by each user on the platform serves as learning data for the model, becoming a source of data to expand the cognitive range of AI. 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 purely relying on price data.
Next is the second phase of "automated trading". When the predictive model reaches the expected accuracy, AlphaX will enter the stage of creating and executing AI-generated automated trading. AI traders will monitor market conditions to adjust their strategies and respond quickly in the cryptocurrency market, fully realizing AI agency trading.
The core of this stage combines the operation of rule engines and reinforcement learning. 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 endows 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.
It can be imagined that AI traders will monitor the market around the clock. When they find trading opportunities that meet preset conditions, they will automatically execute trades and quickly adjust their strategies in response to market changes, making the AI agent a completely independent trading entity.
Successfully replicate the trained small model to reduce performance requirements.
Recently, AlphaX provided the latest BTC and ETH prediction signals through its AI algorithms, successfully predicting important market trends, including recent bullish performances.
Additionally, the decision-making capability of the AI Agent relies on the underlying LLM large model. One major obstacle to developing and maintaining LLM has always been the need for substantial computational power; training these models requires large-scale hardware infrastructure, such as high-performance GPUs or TPUs.
AlphaX operates by training a smaller and more precise AI model first and then transferring the "experience" (parameters) of this small model to a larger model, allowing the large model to start with the predictive capabilities of the small model without having to learn from scratch, while also requiring less GPU time, directly solving the pain points of traditional analytical tools and the pressing needs of AI trading.
Image source: DeAgentAI official Twitter account
According to the latest official news, users participating in the activities recently launched by AlphaX and Bitlayer can not only earn rewards in the AlphaX Royale game, earning 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 usually originated from viral trends and pop culture references, riding wave after wave of popularity, yet the pattern remains the same, and the market always weakens. Memecoins have always faced the challenge of being difficult to evolve further. Now, AI agents are endowed with great potential to make AI a more powerful tool for spreading memes, refreshing the flow of funds in the market.
In addition, the AI agent has 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 way value is created and exchanged, and providing traders with unparalleled trading imagination and advantages.
