GetAgent: How AI is Reshaping the "Game Rules" of Crypto Trading?

When GPT-4o refreshes cognition with multi-modal interaction, and when AI painters emerge in the field of digital art, the trillion-dollar market of cryptocurrencies finally ushered in an intelligent assistant that can truly "reconstruct transaction logic" - GetAgent. As the world's first all-round crypto trading agent released by Bitget, it does not only do functional superposition like traditional tools, but solves the three core pain points of traders from the bottom: "information overload, cumbersome operation, and cognitive barriers", and is even called "AI weapon for retail investors against institutions" by some industry insiders. The most important thing is that GetAgent can be used for free by registering directly, there is no need to pay to the institution to subscribe to data information services, and hire professional analysts, GetAgent provides users with a one-stop solution for crypto trading for free.

Today, we will disassemble the game-breaking way of this new AI product in the field of crypto trading.

1. The pain points of the industry are directly hit: the "triple shackles" of the traditional trading model

Before entering the technical analysis of GetAgent, we can take a look at the current status of the crypto trading industry:

• The information whirlpool dilemma: more than 100,000 pieces of on-chain data, thousands of research reports, and million-level social media discussions flow on different platforms every day, and ordinary traders need to repeatedly jump between exchanges, DApps, and information websites, and the information screening efficiency is 80% lower than that of institutions (data from Chainalysis research).
• Operational anti-human design: It is found that to complete the whole process from looking at the market, checking information, analyzing indicators, and placing orders, it is necessary to switch between more than 5 pages, and more than 30% of short-term opportunities are lost due to operation delays.
• Solidified cognitive gap: Coinbase user research shows that 82% of novices exit the market within 6 months because they don't understand technical indicators and on-chain data, and the high threshold for professional tools has become a natural threshold for crypto trading.

The emergence of GetAgent is like installing an "intelligent operating system" on the traditional transaction mode of crypto trading, using AI to open up the whole link from information processing to transaction execution.

2. Dismantling of core advantages: redefine the three dimensions of "transaction efficiency".

The interactive revolution of conversation-as-transaction: putting professional tools into the chat box

Unlike traditional platforms that need to learn trading slang such as K-lines and indicator parameters, GetAgent translates all functions into natural language interactions. Here's a typical scenario:

• Ordinary user operation: Open platform A to see the BTC market→ switch to platform B to check institutional positions→ go to community C to see KOL views→ go back to the exchange to place an order (it takes 10 minutes)
• GetAgent user operation: Directly ask "Is BTC suitable to buy now?" → AI synchronously completes network-wide data retrieval + technical analysis + on-chain tracking→ Directly gives suggestions with points and risk warnings→ Users directly execute transactions with one click

The underlying logic of this chat-style trading is to integrate 30+ professional tools (such as on-chain analysis, public opinion monitoring, and quantitative strategy modules) into the AI brain, so that users do not need to care about the technical details behind them, and only need to use colloquial questions to obtain results. Measurements show that the time for ordinary users to complete transaction decisions with GetAgent has been shortened from an average of 25 minutes to less than 3 minutes.

Full-link intelligent service closed-loop: automatic processing from information to policies

While most AI tools on the market are assisted by a single function (such as simple market alerts or indicator analysis), GetAgent builds a complete trading ecosystem:

• Information processing layer: 7× 24 hours to automatically capture the data sources of major information media in the whole market, filter noise through NLP model, and refine effective information into "trading opportunities";
• Strategy generation layer: based on the user's position and risk preference, automatically call 30+ preset tools for processing, and generate trading strategies;
• Execution optimization layer: support conversational rebalancing, AI will automatically calculate the buy and sell points of the optimal transaction, and even avoid illiquid coins;
• Learning Evolution Layer: Deep learning algorithm capabilities continuously optimize user portraits through every interaction of users;

The value of this one-stop service agent is that non-professional traders can also have a research team + trader + risk controller configuration team of similar institutions, while the cost is almost negligible.

Thousands of people and thousands of faces: know your trading habits better than you

The most subversive thing about GetAgent is not the technology itself, but the logic of growth services. Here are two typical cases:

• Case 1: A conservative investor asks "how to reduce risk" at the initial question, and the AI automatically recommends and matches [cross-currency hedging strategy] for the user based on the user's position, and automatically pushes [defensive rebalancing advice] before each market crash;
• Case 2: Another user of the hot spot tracker frequently asks about the "new meme coin", and the AI gradually learns to prioritize the analysis of indicators such as narrative popularity, on-chain transfer growth rate, and social media interaction.

This kind of personalization is not a simple label classification, but a continuous learning based on dynamic data, which truly realizes the more you use it, the smarter it becomes.

3. Scenario measurement: How does GetAgent rewrite the daily transaction situation?

Scenario 1: Smart Money Tracking – Institutional Trend Equalization

When the user asks "what is Grayscale buying recently", the AI will analyze it in real time:

• Grayscale wallet's BTC/ETH increase data
• Trends in large-value transfers on the chain;
• long-short signals of institutional research reports;

It allows retail investors to simultaneously access information that was originally only available to institutions for payment.

Scenario 2: Meme hot spot prediction - from following the trend to predicting

In the traditional model, retail investors tend to chase higher after the Meme coin skyrockets, but using GetAgent, they can find opportunities in advance through a multi-dimensional data model:

• Track the inflow rate of funds on the chain;
• Analyze the KOL mention frequency and interaction rate (if recommended by 50+ influencers at the same time);

When the metric reaches the threshold, the AI will actively push an alert.

Scenario 3: Position Diagnostics – Dynamically optimize portfolios

Enter "Help me see my position", and the AI will analyze it from multiple dimensions, such as:

• Risk dimension: check whether there is a high concentration risk;
• Opportunity dimension: Compare the fit between the currency of the position and the hot spot in the market (such as missing the recent increase 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 from multiple dimensions, users are finally given specific rebalancing suggestions.

4. Industry impact: AI is reshaping the underlying logic of the trading ecosystem

The democratization of transactions is accelerating

In the traditional model, institutions invest more than $1 billion a year in data services and quantitative tools, and GetAgent "equalizes" these capabilities through AI. Both smart analysis and strategy generation are available in the form of conversations for free or at a low price, which means that for the first time, retail investors have the possibility of "tool equality" with institutions.

Leaps in market efficiency

When GetAgent is used by more and more users, we believe that the user information processing efficiency, decision-making accuracy and average transaction frequency of the crypto trading market will usher in a huge increase. This efficiency gain will be transmitted from the average trader to the entire crypto trading market - as more traders can quickly digest information, the speed of price discovery will be accelerated, irrational volatility will be reduced, and the market maturity will be expected to move closer to the traditional financial market.

A new paradigm of human-machine collaboration

GetAgent is not positioned to replace traders, but rather a personal super assistant for every crypto trader. While AI handles 90% of repetitive work, traders will be more focused on 10% of creative decisions. This division of labor has been proven in traditional finance (such as Bridgewater's human-robot collaboration system), and GetAgent brought it to the crypto trading market for the first time.

5. Conclusion: What is the future of trading in the era of AI?

If the core of Web3 is "decentralization", then GetAgent is using AI to achieve another dimension of equality — so that professional trading capabilities are no longer monopolized by resources. Instead, through the full-link solution of "interactive reconstruction + full-link intelligence + personalized learning", it truly solves the core pain points of ordinary traders.

For the industry, the significance of GetAgent will go far beyond an AI product itself: it proves that the application of AI in the field of crypto trading should not stop at the surface function, but go deep into the underlying transformation of trading logic. When AI can understand transaction intent like humans, and even better at processing data than humans, the rules of competition in the crypto market will be redefined - the future trading king may not be the most tech-savvy, but the most collaborative with AI.

If you are still anxious about the massive amount of information and worried about complex operations, maybe you can try to open the Bitget App and say "how is the market today" to GetAgent — maybe the moment you start the conversation, the future of your trading has arrived, and you can give yourself a chance to skyrocket your wealth, and it is in your hands.