If the core of Web3 is "decentralization," then GetAgent is using AI to achieve another dimension of equality — allowing professional trading capabilities to no longer be monopolized by resources.
As GPT-4o refreshes cognition with multimodal interaction and AI artists emerge in the digital art field, the trillion-dollar cryptocurrency market has finally welcomed a true intelligent assistant that can "reconstruct trading logic" — GetAgent. As the world's first all-in-one crypto trading agent launched by Bitget, it does not merely stack functions like traditional tools but addresses the three core pain points of traders: "information overload, cumbersome operations, and cognitive barriers." It has even been referred to by some industry insiders as the "AI weapon for retail investors against institutions." Most importantly, GetAgent can be used for free upon direct registration, eliminating the need to pay institutions for data subscription services or hire professional analysts. GetAgent provides users with a one-stop solution for crypto trading at no cost.
Today, let's break down how this new AI product is disrupting the crypto trading field.
1. Directly Addressing Industry Pain Points: The "Triple Shackles" of Traditional Trading Models
Before delving into the technical analysis of GetAgent, let's first look at the current state of the crypto trading industry:
￮ Information Vortex Dilemma: Over 100,000 on-chain data points, thousands of research reports, and millions of social media discussions flow across different platforms daily. Ordinary traders must jump between exchanges, DApps, and news websites, with information filtering efficiency 80% lower than that of institutions (data sourced from Chainalysis research).
￮ User-Unfriendly Design: Practical tests show that completing the entire process from checking market trends to researching information, analyzing indicators, and placing orders requires switching between more than five pages, with over 30% of short-term opportunities lost due to operational delays.
￮ Cognitive Gap Solidification: A Coinbase user survey revealed that 82% of newcomers exit the market within six months due to not understanding technical indicators or on-chain data, with the high threshold of professional tools becoming a natural barrier to crypto trading.
The emergence of GetAgent is like equipping the traditional trading model in crypto with an "intelligent operating system," using AI to streamline the entire process from information processing to trade execution.
2. Core Advantages Breakdown: Redefining "Trading Efficiency" Across Three Dimensions
The Interactive Revolution of Dialogue as Trading: Embedding Professional Tools into Chat Interfaces
Unlike traditional platforms that require learning trading jargon like candlestick charts and indicator parameters, GetAgent transforms all functions into natural language interactions. Here’s a typical scenario:
￮ Ordinary User Operation: Open Platform A to check BTC trends → Switch to Platform B to check institutional holdings → Go to Community C to see KOL opinions → Return to the exchange to place an order (takes 10 minutes)
￮ GetAgent User Operation: Directly ask, "Is it a good time to buy BTC?" → AI simultaneously completes a comprehensive data search + technical analysis + on-chain tracking → Directly provides suggestions with price points and risk warnings → User executes the trade with one click.
The underlying logic of this chat-based trading is integrating over 30 professional tools (such as on-chain analysis, sentiment monitoring, quantitative strategy modules) into the AI brain, allowing users to obtain results through conversational queries without worrying about the technical details behind it. Practical tests show that ordinary users can reduce the time to make trading decisions with GetAgent from an average of 25 minutes to under 3 minutes.
A Full-Link Intelligent Service Loop: Automated Processing from Information to Strategy
Most AI tools on the market remain at the level of single-function assistance (such as simple market alerts or indicator analysis), while GetAgent constructs a complete trading ecosystem:
￮ Information Processing Layer: Automatically captures data from major news media sources across the market 24/7, filtering noise through NLP models and distilling effective information into "trading opportunities";
￮ Strategy Generation Layer: Automatically calls upon over 30 preset tools based on user holdings and risk preferences to generate trading strategies;
￮ Execution Optimization Layer: Supports conversational portfolio adjustments, with AI automatically calculating optimal buy and sell points, even avoiding illiquid cryptocurrencies;
￮ Learning Evolution Layer: Deep learning algorithms continuously optimize user profiles through each interaction.
The value of this one-stop service agent lies in enabling non-professional traders to have a configuration team similar to that of institutional research teams + traders + risk managers, with costs that are almost negligible.
Tailored Capabilities for Everyone: Understanding Your Trading Habits Better Than You Do
The most disruptive aspect of GetAgent is not the technology itself, but the logic of growth-oriented service. Here are two typical cases:
￮ Case 1: Conservative Investor A user initially asks, "How can I reduce risk?" The AI automatically recommends a matching [cross-asset hedging strategy] based on the user's holdings and pushes [defensive portfolio adjustment suggestions] before each market crash;
￮ Case 2: Trend Follower Another user frequently inquires about "new meme coins." The AI gradually learns to prioritize analyzing narrative heat, on-chain transfer speed, social media interaction volume, etc. Once it detects fluctuations in these heat indicators, it will proactively alert the user, helping them discover trading opportunities.
This personalization is not merely a simple tagging classification but a continuous learning process based on dynamic data, truly achieving greater intelligence with increased usage.
3. Scenario Testing: How Does GetAgent Rewrite Daily Trading?
Scenario 1: Smart Money Tracking — Equalizing Institutional Movements
When a user asks, "What has Grayscale been buying recently?" the AI will analyze in real-time:
￮ Grayscale wallet's BTC/ETH accumulation data
￮ On-chain large transfer movements;
￮ Bullish and bearish signals from institutional research reports;
Allowing retail investors to access information that was previously only available to institutions for a fee.
Scenario 2: Meme Trend Prediction — From Following to Anticipation
In traditional models, retail investors often chase meme coins after they surge, but using GetAgent allows for early detection of opportunities through a multidimensional data model:
￮ Tracking the speed of on-chain capital inflow;
￮ Analyzing KOL mention frequency and interaction rates (e.g., being recommended by over 50 influencers simultaneously);
When indicators reach a threshold, the AI will actively push signal alerts.
Scenario 3: Portfolio Diagnosis — Dynamic Optimization of Investment Compositions
Input "Help me review my portfolio," and the AI will analyze from multiple dimensions, such as:
￮ Risk Dimension: Checking for high concentration risk;
￮ Opportunity Dimension: Comparing the alignment of held assets with market hotspots (e.g., missing out on recent AI sector gains);
￮ Cost Dimension: Calculating the average holding cost of each asset and its deviation from the current market price;
Through professional analysis across multiple dimensions, the AI ultimately provides users with specific portfolio adjustment suggestions.
GetAgent invitation code event link: https://www.bitget.com/events/bitget-getagent
4. Industry Impact: AI is Reshaping the Underlying Logic of Trading Ecosystems
Accelerating Trading Democratization
In traditional models, institutions invest over $1 billion annually in data services and quantitative tools, while GetAgent democratizes these capabilities through AI. Whether for intelligent analysis or strategy generation, these services are provided in a conversational format for free or at low cost, meaning retail investors now have the potential for "tool equality" with institutions for the first time.
Market Efficiency Leap
As GetAgent is adopted by more users, we believe that the efficiency of user information processing, decision accuracy, and average trading frequency in the crypto trading market will see significant improvements. This efficiency boost will transmit from individual traders to the entire crypto trading market — as more traders can quickly digest information, the speed of price discovery will accelerate, irrational fluctuations will decrease, and market maturity is expected to align more closely with traditional financial markets.
A New Paradigm of Human-Machine Collaboration
GetAgent is positioned not to replace traders but to serve as a personal super assistant for every crypto trader. When AI handles 90% of repetitive tasks, traders can focus more on the 10% of creative decisions. This division of labor has been validated in traditional finance (such as the human-machine collaboration system at Bridgewater Associates), and GetAgent brings it to the crypto trading market for the first time.
5. Conclusion: What is the Future of Trading in the AI Era?
If the core of Web3 is "decentralization," then GetAgent is using AI to achieve another dimension of equality — allowing professional trading capabilities to no longer be monopolized by resources. Instead, through "interactive reconstruction + full-link intelligence + personalized learning," it truly addresses the core pain points of ordinary traders.
For the industry, the significance of GetAgent will far exceed that of an AI product itself: it proves that the application of AI in the crypto trading field should not remain at superficial functions but should delve into the underlying transformation of trading logic. When AI can understand trading intentions like humans, and even excel at data processing, the competitive rules of the crypto market will be redefined — the future trading champions may not be the ones who understand technology best, but those who collaborate best with AI.
If you are still anxious about the vast amount of information or troubled by complex operations, perhaps you can try opening the Bitget App and asking GetAgent, "How's the market today?" — perhaps the moment you start the conversation, the future of your trading has already arrived, giving you an opportunity for wealth growth right in your hands.
GetAgent invitation code event link: https://www.bitget.com/events/bitget-getagent
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