On July 1, Bitget launched the AI-driven smart trading assistant 'GetAgent'. Currently, GetAgent has been opened to users with invitation codes, which can be applied for through official channels of Bitget.

According to Bitget's official introduction, GetAgent has the following core features:

● Integration of AI algorithms and real-time data: Combining more than 50 professional-grade MCP tools, providing market analysis, trading strategies, and execution suggestions.

● Personalized service: Provides customized technical indicators, sentiment analysis, and data insights based on user trading history, preferences, and assets of interest.

● All-weather market monitoring: Real-time tracking of price fluctuations, reducing the time cost of switching between multiple platforms.

● Self-evolution ability: Constantly optimizing through each interaction, providing more precise decision support.

● User-friendliness: Obtain professional support through simple conversations, enhancing trading efficiency.

Although since last year, with the improvements of AI like ChatGPT and Deepseek, many traders have started creating and training their own AI trading assistants, an AI assistant embedded within an exchange is more attractive. On one hand, it offers the convenience of one-stop monitoring, analysis, executing strategies, and one-click trading. On the other hand, GetAgent accesses real-time trading data from the Bitget exchange, making the reference data more comprehensive and usable, inherently more accurate and timely than third-party tools.

Furthermore, GetAgent, as an important part of Bitget's AI strategy, was deployed earlier than other crypto exchanges. Currently, among mainstream exchanges, only Bybit launched a similar AI trading assistant last year, but it is more focused on market analysis and technical indicators and cannot yet provide customized and personalized services for users.

What is the user experience of GetAgent? To what extent can it help users trade? This article will conduct a comprehensive evaluation of GetAgent based on several core features listed by the official sources, assessing different dimensions.

Evaluation 1: Integration of professional tools and technical analysis capabilities.

Testing question 1: Please analyze the current ETH price trend in real-time and predict its movement in the next 4 hours. (Testing time: July 9, 17:41)

GetAgent's response is shown in the image:

GetAgent provides a price analysis for a certain currency by giving the current market overview, technical indicators (including EMA, MACD, KDJ, RSI, MACD, Bollinger Bands, etc.), clear support and resistance levels, and finally provides take-profit and stop-loss points based on conservative and aggressive styles, along with relevant risk operation suggestions.

Compared to the vague judgments offered by other AI tools, GetAgent is very friendly towards beginners and short-term traders. It is important to remind that any external advice carries certain risks, and it is recommended that traders, especially beginners, test their win rate with small amounts before going for larger positions. However, based on my personal testing results over the past few days, GetAgent's win rate is higher than my personal judgment based purely on intuition. For example, on July 7, I asked about the trading direction of BTC contracts, and this is the advice given by GetAgent:

Testing question 2: What are the reasons for BTC rising and breaking new highs, and what are the positive news on the information front? (Testing time: July 10)

The following image shows GetAgent's response:

GetAgent comprehensively lists the reasons from an informational perspective and provides further analysis and supplements from a technical breakthrough. The presented information is very clear and concise, saving a lot of time in searching for information. Additionally, in this dialogue regarding the testing question, I further asked about the current long-short ratio data of BTC, and GetAgent helped me retrieve the latest contract holding data from the Bitget platform, providing sentiment shifts and historical comparison analysis, helping users see the essence through data and providing more comprehensive suggestions.

Evaluation 2: Intelligence and personalization capabilities.

(This testing dimension is somewhat personalized, and the answers provided by GetAgent may vary from person to person, so specific answers are not displayed in this section.)

GetAgent can access users' cryptocurrency asset holding information, selected currency list, trading history, risk preferences, and other data. Based on this, there is much that GetAgent can do, such as:

● Analyze the current asset portfolio and provide specific insights and suggestions for take-profit and stop-loss.

● Recommend a short-term or long-term trading strategy suitable for the current market based on past trading habits.

● Analyze selected cryptocurrencies and provide recent news dynamics and related investment strategy suggestions for the currencies in the observation list (will specifically provide the price range for buying and identify undervalued currencies suitable for adding positions now).

● Customize an investment portfolio based on risk preferences.

● One-click generation of a personalized position daily report, analyzing the proportion of currencies and providing reallocation suggestions based on market conditions.

● ...

In addition to the above questions, you can develop more. Simply put, GetAgent can combine the trader's own habits and positions to provide relatively professional market analysis and trading advice, saving the hassle of monitoring and collecting information, especially friendly for beginners.

Evaluation 3: Interactive experience and ease of use.

GetAgent takes the form of a conversational interactive AI, residing in the 'Common Functions' area of Bitget, making it convenient for users to access. Additionally, there are corresponding entries on the asset page, spot K-line page, and Onchain currency page, allowing usage in different scenarios.

Image source: https://x.com/m51720/status/1941346873639567471/photo/1

Moreover, compared to other AI assistants, GetAgent's understanding of context is more intelligent. By analyzing conversation history and understanding context, it can more accurately provide answers based on user needs.

GetAgent's advantage lies in rapid trading. Because it is embedded within the trading app, after quickly analyzing a currency, traders do not need to switch to other interfaces; they can have GetAgent directly buy or sell. For example, you can send 'Spend 20 USDT to buy BTC', and GetAgent will create an order through a flash exchange. Users only need to verify and confirm the trade on the current page, vastly improving trading efficiency.

However, it is worth noting that currently, GetAgent can only assist users with spot trading and cannot handle requests related to contract trading.

Evaluation 4: Self-evolution and learning ability.

Testing question: Based on the question about 'Evaluation 1' on 'ETH's price trend', I asked GetAgent to adjust the ETH trading strategy 24 hours later, and its response was as follows:

GetAgent conducted historical analysis compared to yesterday's inquiries and verified and corrected itself in yesterday's tests, providing corresponding adjustment suggestions. It is evident that GetAgent can basically optimize its suggestions through multiple interactions with users and gradually provide more accurate and tailored decision support.

Summary:

Based on existing evaluations, GetAgent is very professional in technical analysis and informational analysis, with a win rate higher than manual judgment, and ensures higher accuracy and timeliness through embedded exchange data; in terms of intelligence, it combines users' trading habits and risk preferences to generate customized investment portfolios and position daily reports, greatly facilitating novice traders; in terms of interactive experience, the interface is user-friendly and supports one-click trading, with efficiency superior to third-party tools.

GetAgent is currently in the Beta stage, and in the future, as an AI assistant, it will continue to iterate and evolve. I believe GetAgent will launch more functional modules and personalized configurations. As an important part of Bitget's AI strategy, GetAgent will continue the concept of 'intelligent trading', helping to build a more complete and intelligent AI + Crypto ecosystem.