When GPT-4 o refreshes cognition with multimodal interaction, and when AI painters emerge in the field of digital art, the trillion-dollar cryptocurrency market has finally welcomed an intelligent assistant that can truly reconstruct transaction logic - GetAgent.
As an all-round crypto trading agent released by Bitget, it does not simply add functions like traditional tools, but solves the three core pain points of traders: information overload, cumbersome operations, and cognitive barriers from the bottom up. It is even called the AI weapon of retail investors against institutions by some industry insiders.
The most important thing is that GetAgent is free to use after registration. There is no need to pay institutions to subscribe to data information services or hire professional analysts. GetAgent provides users with a one-stop solution for crypto trading for free.
Today we will analyze how this new AI product breaks through in the field of crypto trading.
1. Industry pain points: the triple shackles of the traditional trading model
Before we get into GetAgent’s technical analysis, let’s take a look at the current state of the crypto trading industry:
Information vortex dilemma: more than 100,000 pieces of on-chain data, thousands of research reports, and millions of social media discussions flow across different platforms every day. Ordinary traders need to jump back and forth between exchanges, DApps, and information websites, and their information screening efficiency is 80% lower than that of institutions (data from Chainalysis research).
The operation is designed against human nature: It was found through actual testing that to complete the entire process from viewing the market - checking information - analyzing indicators - placing an order, one needs to switch between more than 5 pages, and more than 30% of short-term opportunities are lost due to operation delays.
The cognitive gap is solidified: Coinbase user survey shows that 82% of novices exit the market within 6 months because they do not understand technical indicators and cannot understand on-chain data. The high threshold of professional tools has become a natural threshold for crypto transactions.
The emergence of GetAgent is like installing an intelligent operating system on the traditional trading model of encrypted transactions, using AI to open up the entire link from information processing to transaction execution.
2. Core Advantage Analysis: Redefining the Three Dimensions of “Transaction Efficiency”
The interactive revolution of conversation as transaction : putting professional tools into the chat box
Different from traditional platforms that require learning trading jargon such as K-line and indicator parameters, GetAgent converts all functions into natural language interaction. Here is a typical scenario:
Ordinary user operation: open platform A to view BTC market → switch to platform B to check institutional holdings → go to community C to view KOL opinions → return to the exchange to place an order (takes 10 minutes)
GetAgent User operation: directly ask Is BTC suitable for buying now? → AI simultaneously completes the whole network data retrieval + technical analysis + on-chain tracking → directly gives suggestions including points and risk warnings → users can directly execute transactions with one click
The underlying logic of this chat-based transaction is to integrate 30+ professional tools (such as on-chain analysis, public opinion monitoring, and quantitative strategy modules) into the AI brain. Users do not need to care about the technical details behind them, but only need to ask questions in colloquial language to get results. Actual tests show that the time it takes for ordinary users to complete transaction decisions using GetAgent has been reduced from an average of 25 minutes to less than 3 minutes.
Full-link intelligent service closed loop: automated processing from information to strategy
Most AI tools on the market only provide single-function assistance (such as simple market reminders or indicator analysis), while GetAgent has built a complete trading ecosystem:
Information processing layer: Automatically capture all major information media data sources in the market 24/7, filter noise through NLP models, and extract effective information into trading opportunities;
Strategy generation layer: Based on user positions and risk preferences, it automatically calls 30+ preset tools for processing and generates trading strategies;
Execution optimization layer: supports interactive position adjustment, AI will automatically calculate the optimal trading points, and even avoid currencies with poor liquidity;
Learning evolution layer: Deep learning algorithm capabilities, continuously optimizing user profiles through every user interaction;
The value of this one-stop service agent lies in that it allows non-professional traders to have a team configuration similar to that of an institutions research team + trader + risk control officer, while the cost is almost negligible.
Customization capabilities for thousands of people: Know your trading habits better than you do
The most disruptive aspect of GetAgent is not the technology itself, but the logic of growth-oriented services. Here are two typical examples:
Case 1: A conservative investor initially asks How to reduce risk? The AI automatically recommends a cross-currency hedging strategy based on the users holdings, and automatically pushes a defensive position adjustment suggestion before each market crash.
Case 2: Another user of the hot spot tracker frequently asked about new meme coins. AI gradually learned to prioritize the analysis of narrative heat, on-chain transfer growth rate, social media interaction volume and other indicators. Once it found that the heat index fluctuated, it would give users prompts in advance to help users find trading opportunities.
This kind of personalization is not a simple label classification, but continuous learning based on dynamic data, which truly makes it smarter with use.
3. Scenario testing: How does GetAgent change daily trading?
Scenario 1: Smart Money Tracking - Equalization of Institutional Trends
When users ask What is Grayscale buying recently, AI will analyze in real time:
Grayscale wallet’s BTC/ETH accumulation data
Large transfer trends on the chain;
Long and short signals from institutional research reports;
Allow retail investors to simultaneously obtain information that was originally only available to institutions after paying a fee.
Scenario 2: Predicting Meme Hotspots — From Following the Trend to Predicting
In the traditional model, retail investors often chase high prices after Meme coins have skyrocketed, but using GetAgent can discover opportunities in advance through multi-dimensional data models:
Track the speed of funds flowing into the chain;
Analyze KOL mention frequency and interaction rate (such as being recommended by 50+ influencers at the same time);
When the indicator reaches the threshold, AI will actively push a signal warning.
Scenario 3: Position Diagnosis - Dynamically Optimizing Investment Portfolio
Enter Help me check my holdings and AI will analyze from multiple dimensions, such as:
Risk dimension: Check whether there is high concentration risk;
Opportunity dimension: Compare the compatibility of holding currencies with market hot spots (such as missing out on the recent gains in the AI sector)
Cost dimension: Calculate the deviation between the average holding cost of each currency and the current market price;
Through professional analysis in multiple dimensions, we will ultimately provide users with specific suggestions for adjusting their portfolios.
GetAgent invitation code event link: https://www.bitget.com/events/bitget-getagent
IV. Industry Impact: AI is Reshaping the Underlying Logic of the Trading Ecosystem
Accelerating the democratization of trading
In the traditional model, institutions invest more than $1 billion in data services and quantitative tools each year, and GetAgent uses AI to equalize these capabilities. Both intelligent analysis and strategy generation are provided in the form of dialogue for free or at a low price, which means that for the first time, retail investors have the possibility of equalizing tools with institutions.
Market efficiency leap
As GetAgent is used by more and more users, we believe that the user information processing efficiency, decision-making accuracy and average transaction frequency in the crypto trading market will be greatly improved. This efficiency improvement will be transmitted from ordinary traders to the entire crypto trading market - when more traders can quickly digest information, the speed of price discovery will be accelerated, irrational fluctuations will be reduced, and the market maturity is expected to move closer to the traditional financial market.
A new paradigm for human-machine collaboration
GetAgent is positioned not to replace traders, but to be a personal super assistant for every crypto trader. When AI handles 90% of repetitive tasks, traders will focus more on 10% of creative decisions. This division of labor model has been verified in the traditional financial field (such as the human-machine collaboration system of Bridgewater Fund), 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 - professional trading capabilities are no longer monopolized by resources. Instead, it truly solves the core pain points of ordinary traders through the full-link solution of interactive reconstruction + full-link intelligence + personalized learning.
For the industry, GetAgent proves that the application of AI in the field of crypto trading should not stop at superficial functions, but go deep into the underlying transformation of trading logic. When AI can understand trading intentions like humans, and even process data better than humans, the competition rules of the crypto market will be redefined - the future trading king may not be the one who understands technology the most, but the one who can collaborate with AI the best.
If you are still anxious about the massive amount of information and troubled by the complicated operations, you may try to open the Bitget App and say to GetAgent, How is the market today? Perhaps the moment you start the conversation, the future of your trading has arrived.
GetAgent invitation code event link: https://www.bitget.com/events/bitget-getagent
