Relying on Bitget GetAgent to buy the bottom of BTC, my friend said that I acted like an investment bank

Author: OneShotBug

Written on the front: research background and motivation for assessment

The information density and strategy complexity of the crypto market are increasing day by day, and even users who are familiar with candlesticks, understand fundamentals, and can read on-chain data often feel overloaded.

That's why I've always been highly interested in the combination of AI and crypto trading. In recent years, more and more platforms have begun to integrate AI functions, but most of them still stay at the functional layer or simple information aggregation, and Bitget's promotion point for launching GetAgent is "the world's first all-round cryptocurrency trading assistant" to help users obtain information, strategy analysis, and place orders.

This article evaluates GetAgent's daily trading scenarios, mainly verifying two specific questions: "whether it can simplify the decision-making process" and "whether it can bring higher returns", and the evaluation results are for readers' reference and communication.

1. Product positioning and basic function combing

GetAgent is actually an AI trading assistant embedded in the Bitget App. It is positioned like an "AI personal investment advisor", and completes information processing, strategy generation, position diagnosis, and simple trading suggestions through natural language interaction. The biggest highlight is the chat interaction + more than 50 professional-grade MCP tools.

At present, after testing, there are many scenarios that can be used, including market analysis, position suggestions and even automated trading:

• Market analysis and trend interpretation: You can directly ask "how is the BTC market today", and the system will return a comprehensive interpretation combining K-line indicators, on-chain data, and market sentiment;

• Strategy Advice and Risk Warning: For example, "Is it suitable for me to increase my ETH position now?" GetAgent will combine technical signals and personalized risk appetite to give range reference and take-profit and stop-loss suggestions;

• Smart Money Tracking and Hot Spot Deduction: In a sense, it simulates a hot spot warning by tracking on-chain funds, whale transfers, and the frequency of KOL social mentions;

• Position analysis and rebalancing recommendations: based on the currency composition, concentration and correlation of your account, you can give rebalancing suggestions;

• Conversational learning AI: supports basic question answering, such as "what is an AMM" and "who is suitable for the regular investment strategy";

• Automated trading: Support direct trading through dialogue, such as "buy 1 ETH", "add 100 BGB", and directly place orders through instructions.

From the perspective of functional logic, GetAgent tries to cover the complete closed loop from information input to the execution of recommendations, acting as a real "AI personal investment advisor".

2. Hands-on experience: The interactive flow from input to output

The most direct feeling is that as an "AI personal investment advisor", you can use natural language conversations with GetAgent like ChatGPT, without switching interfaces or consulting chart data, and the overall user experience is relatively smooth.

For example, in the test, the author asked, "Is it a good time to buy BTC?" GetAgent will enter a state of thinking, and in the UI you can click on it to see his thought process:

• "Understanding user needs and in-depth analysis of the best solution"

• Now that the strategy is in place, start a step-by-step professional analysis process, which is broken down into sub-steps, including:

• According to the user's investment needs, now get the fear index trend and gain insight into the pulse of market sentiment

• The exchange data source is being linked to present you with a complete overview of BTC

• Analyze the user's query intent, and call up the daily candlestick data for the user's interpretation

• Understanding that users need technical analysis, now do a multi-indicator in-depth analysis of BTCUSDT

Different from the thinking process of DeepSeek, which has been often ridiculed recently, the above is obviously a standard thinking process defined by developers in order to make GetAgent do a good job of vertical services, which is in line with the basic analysis path.

Finally, GetAgent gave a more detailed analysis, including:

• Price trend and volume changes in the past month;

• The status of key indicators such as RSI/MACD/Bollinger Bands;

• Whether there is an inflow of funds into BTC in the changing market hotspots;

• the range of technical support and resistance at the current point;

• external sentiment references (e.g., community sentiment and V-mentioned frequency);

The format of this output text is highly structured, and it can basically be used as a direct reference for decision-making.

In terms of interactive experience, the author believes that its most successful point is to translate complex quantitative and fundamental analysis into popular language to users. Novices can lower the learning threshold, and veterans can improve decision-making efficiency.

However, when a question like the one above requires analysis of a specific currency, GetAgent's response time generally takes 30 seconds or more, which is a bit long for the experience of mobile products, which is where the author thinks should be optimized.

3. Three core functional tests: the actual capabilities of GetAgent

Market interpretation

The first thing to test is the fundamental market analysis. The author asks a similar question for BTC, ETH, PEPE: "Is the current point suitable for buying?" "The information returned by the system includes price ranges, support and resistance levels, the status of major technical indicators, and changes in sentiment indicators. The data integrity of this part is good, especially the triple dimension that combines technology + on-chain + sentiment.

Compared to the traditional method, where I need to use multiple different platforms to obtain this information, GetAgent uses a text summary to do this, which saves a lot of switching time.

Smart Money Tracking

This feature is the highlight that the author focuses on. After trying to ask "does PEPE have any recent big moves for reference", GetAgent provides information such as on-chain large-value address data, DEX inflow and outflow trends, and hot KOL mentions. When asked "what have whales been buying lately", GetAgent gives some references to the token and related data (24-hour gains, current trading volume, and market cap). When asked about "Sister Wood's recent actions", it gave an analysis of investment trends, investment logic analysis, investment references, and market impacts.

The content of the reply given by this function is actually a little thin for experienced traders, but on the whole, it is close to the analysis depth of the professional investment research team, and it is very easy to use and understand for retail investors, especially newcomers, and bridges the information gap between professional traders at a very low cost.

Position diagnostics

This is also a small feature that surprises the author. GetAgent analyzed the position structure of the author's account, pointed out the author's risks such as excessive concentration of ETH, lack of hedging coins, and failure to use stablecoin position opportunities, and also suggested the establishment of a "market value balancing mechanism" to reduce the weight of altcoins.

This third perspective, which is different from the user, is obviously extremely valuable in trading decision aids. In particular, the system provides detailed reasons and thought processes, rather than mechanically dictating what you do. This kind of "explainability" has greatly strengthened the author's trust in the proposal itself.

4. So does it bring "excess returns"?

This is a question that concerns all readers. During the test, the author used GetAgent to do a few small strategies, and the position increase point was completely implemented according to the recommendation, but I didn't expect to really catch up with BTC all the way up, the buying point and the position of the increase were accurately stuck, and the spot ate 8 points of increase in 1 day, but unfortunately I didn't listen to the suggestion to open a contract, and missed a wave of contract income!

So in my opinion, GetAgent is a valuable decision optimization tool that can help you make better decisions and earn money. Its main advantages are:

• Save time on information sourcing and integration;

• Output structured entry recommendations;

• Indicate risk points that may be overlooked;

• Improve your data base when making decisions;

• Finally, based on your judgment, you will operate and place an order for you.

Of course, it doesn't directly predict the top and bottom, you still need to make your own judgments, make decisions, and be responsible for risks. The author's attitude towards it is the same as that of autonomous driving, AI cannot and should not replace the subjective judgment of traders.

5. What decision-making behaviors does it change?

Before using GetAgent, the author usually relied on data cross-confirmation in three dimensions: technical indicator charts, on-chain trends, and community sentiment; This means that the author has to switch between at least three platforms, and manually annotate and summarize. Since the introduction of GetAgent into daily use, the author has found that the process of integrating information and making quick judgments has become more efficient.

Compress the decision-making process and improve decision-making efficiency

It took less than 20 seconds from the author's input of a vague question "is BGB suitable for short-term entry" to the author's acquisition of the recommended range, stop-loss reference point and support and resistance range. More importantly, this information does not require the author to cut the chart and verify the MACD/EMA values, and directly gives a credible way to think about it.

This makes the author's daily decision-making rhythm change from "collecting→ inducting→judging → action" to "screening → judging → action".

Changes in the perspective of decision-making

In the past, the author relied heavily on the shape logic of graphical patterns or technical indicators, such as "triangle breakout", "golden cross", etc.; Now the author will pay more attention to the "cross-validation given by the system", such as whether the sentiment indicator and the inflow of funds diverge? Has the narrative popularity of a currency declined?

This is actually a kind of transition from "indicator thinking" to "system perspective", and GetAgent can help me sort out the logic instead of just telling the author the values.

Dimension expansion of perceptual information

GetAgent also has a subtle effect: it makes you aware of certain important data points that you have never paid attention to, such as the increase or decrease of active addresses on the chain, the frequency of social mentions in the meme board rotation, the behavior trend of whale wallets moving into exchanges, and so on.

The structured organization of this type of information, which used to be the preserve of institutions, is now clear at a distance through dialogue. Over time, the dimensions that the author pays attention to when trading have become more diverse, and the probability of avoiding pitfalls has naturally increased.

6. Recommendations for different types of traders

AI tools aren't for everyone, and they don't work best at all stages. In the author's test, the author tries to analyze the adaptability of GetAgent from the perspective of several typical users.

Novice users: Provide friendly hands-on guidance

For users who don't understand charts at all and are not familiar with on-chain logic, the core value of GetAgent is "beginner-friendly". For example, it can help users plan regular investment plans, explain basic concepts, and explain the sources of volatility and risk points with specific cases.

This is much more reliable than a newbie blindly studying TA or chasing KOL opinions. It's a great "AI coaching" tool for beginners.

Heavy traders

For users who operate frequently and have their own policy framework, GetAgent provides decision assistance + blind spot reminders. It's not a substitute for the system you build, but it can help you verify that certain trends match your perceptions, or give you an early warning if you ignore details.

Especially in the frequent rotation of hot coins, using GetAgent can speed up the judgment speed and reduce the noise interference caused by massive information.

Activist investors

For aggressive investors who operate frequently, chase hot spots, and grab alpha, the potential value of GetAgent is reflected in two directions:

• Hot spot prediction mechanism: through the analysis of narrative heat, community index, and whale buying rhythm, it may be able to give a signal before the surge;

• Risk Checklist Feature: It will point out the risks of certain tokens that are illiquid, too low in market capitalization, and frequently sold by institutions, warning of potential risks.

The rationality of AI is like the scabbard of a sharp sword, providing caution and restraint for aggressive investors.

7. How much is GetAgent worth?

As a product that is still in beta, GetAgent is still far from a perfect alternative to manual trading. But the author believes that it has made a very clear breakthrough in the layer of crypto trading user experience.

Current Stage: Learning Tools + Decision Aids

In terms of functional completeness, GetAgent is a comfortable tool to use, especially for:

• Navigation during the learning process for newbies;

• Intermediate users with a policy framework but limited energy;

• Veterans who want to quickly focus on the key points of information and reduce blind spots.

Medium-term potential: an important indicator of instrumental equality

GetAgent's greatest potential lies in breaking the information gap between individuals and institutions. It integrates a wide range of data dimensions and a stable information model, although it cannot build a real alpha strategy, it can quickly help users skip invalid noise and focus on effective information points.

In a sense, it puts the "quant-level data service" in the hands of ordinary users in the form of dialog boxes.

Long-term development: It may become the standard entrance to the trading platform

If GetAgent continues to optimize modules such as input parsing, strategy model, and execution linkage, the author believes that it is likely to become the default interactive entrance of the trading platform in the future. For example, today you use Google to search for information, use Siri to control your device, and in the future, when you open trading software, the first step is to "ask AI".

8. Summary and Conclusion

After testing in the past few days, the author believes that GetAgent can indeed serve as an excellent "AI personal investment advisor" in the crypto market. It helps you focus information, warns you of risks, provides direction suggestions, makes decisions for you, and then places orders for you with one click.

This is a tool worth keeping an eye on for traders who are keen to learn and improve their cognitive system by themselves. The author will continue to use it for trade preparation, rebalancing assistance and hotspot verification. And expect it to make more optimizations in data depth, feedback speed, and execution interface.