When GPT-4o refreshes cognition with multimodal interaction, and AI artists emerge in the digital art field, the trillion-dollar cryptocurrency market finally welcomes a truly intelligent assistant capable of 'restructuring trading logic' — GetAgent. As the world's first all-in-one cryptocurrency trading agent released 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.' Some industry insiders even call it an 'AI weapon for retail investors against institutions.' Most importantly, GetAgent can be registered and used for free, without the need to pay institutions for data information services or hire professional analysts; it provides users with a one-stop solution for cryptocurrency trading at no cost.
Today, we will break down how this new AI product is breaking through in the field of cryptocurrency trading.
I. Directly addressing industry pain points: The 'Triple Shackles' of traditional trading models
Before delving into the technical analysis of GetAgent, let’s first take a look at the current state of the cryptocurrency trading industry:
￮ Information vortex dilemma: Over 100,000 pieces of on-chain data, thousands of research reports, and millions of social media discussions flow across different platforms daily, ordinary traders must jump repeatedly between exchanges, DApps, and news websites, with information filtering efficiency 80% lower than institutions (data sourced from Chainalysis research).
￮ Operation against human design: Tests found that completing the entire process from checking market to consulting information to analyzing indicators to placing an order 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 shows that 82% of novices exit the market within 6 months due to not understanding technical indicators or on-chain data, with the high threshold of professional tools becoming a natural barrier to cryptocurrency trading.
The emergence of GetAgent is akin to equipping traditional trading models in cryptocurrency with an 'intelligent operating system,' using AI to bridge the entire link from information processing to trading execution.
II. Core Advantage Breakdown: Redefining 'Trading Efficiency' across three dimensions
The interactive revolution of dialogue-based trading: Putting professional tools into the chat box
Unlike traditional platforms that require learning trading jargon such as candlestick charts and indicator parameters, GetAgent converts all functions into natural language interactions. A typical scenario is:
￮ Ordinary user operation: Open platform A to check BTC market → Switch to platform B to check institutional holdings → Go to community C to see KOL opinions → Return to the exchange to place an order (taking 10 minutes)
￮ GetAgent user operation: Directly ask 'Is it a good time to buy BTC now?' → AI simultaneously completes network-wide data retrieval + technical analysis + on-chain tracking → Directly gives advice including price points and risk warnings → User directly executes the trade with one click.
The underlying logic of this chat-based trading integrates 30+ professional tools (such as on-chain analysis, sentiment monitoring, quantitative strategy modules) into the AI brain, allowing users to obtain results without worrying about technical details, simply by asking in natural language. Tests have shown that the time taken by ordinary users to make trading decisions with GetAgent has been reduced from an average of 25 minutes to under 3 minutes.
Full-link intelligent service loop: Automated processing from information to strategy
Most AI tools on the market stay at single functional assistance (such as simple market alerts or indicator analysis), while GetAgent builds a complete trading ecosystem:
￮ Information Processing Layer: Automatically collects data sources from major news media across the market 24/7, filters noise through NLP models, and extracts effective information into 'trading opportunities';
￮ Strategy Generation Layer: Based on user holdings and risk preferences, automatically invokes 30+ preset tools for processing and generates trading strategies;
￮ Execution Optimization Layer: Supports conversational rebalancing, AI will automatically calculate the optimal buy/sell points for trades, even avoiding currencies with poor liquidity;
￮ Learning Evolution Layer: Deep learning algorithm capabilities that continuously optimize user profiles through each user interaction;
The value of this one-stop service Agent is to provide non-professional traders with a combination team similar to that of an institutional research team + traders + risk officers, while the cost is almost negligible.
Personalized capabilities for every individual: Understanding your trading habits better than you do
What is most disruptive about GetAgent is not the technology itself, but the logic of growth-oriented services. Here are two typical cases:
￮ Case 1: A conservative investor's initial question 'How to reduce risk,' AI automatically recommends a matching [cross-currency hedging strategy] based on the user's holdings and pushes [defensive rebalancing suggestions] before each market crash;
￮ Case 2: A hot tracker user frequently inquires about 'new meme coins,' and AI gradually learns to prioritize analyzing narrative heat, on-chain transfer speed, social media interaction volume, etc. Once it detects fluctuations in heat indicators, it will give users early warnings to help them discover trading opportunities;
This personalization is not a simple label classification, but rather a continuous learning based on dynamic data, truly achieving increasing intelligence with use.
III. Scenario Testing: How does GetAgent rewrite trading routines?
Scenario 1: Smart Money Tracking - Equalizing Institutional Trends
When a user asks 'What is Grayscale buying recently?', AI will analyze in real time:
￮ Grayscale wallet's BTC/ETH increasing data
￮ Trends in large on-chain transfers;
￮ Long and short signals from institutional research reports;
Allowing retail investors to access information that was previously only available to those who paid institutions.
Scenario 2: Meme Trend Prediction - From Following to Anticipation
Under traditional models, retail investors often chase prices after meme coins explode, while using GetAgent allows them to discover opportunities in advance through multidimensional data models.
￮ Tracking the speed of on-chain capital inflows;
￮ Analyzing KOL mention frequency and interaction rates (e.g., being recommended by 50+ KOLs at the same time);
When indicators reach a threshold, AI will proactively push signal alerts.
Scenario 3: Position Diagnosis - Dynamically optimizing investment portfolios
Input 'Help me check my holdings,' AI will analyze from multiple dimensions, for example:
￮ Risk Dimension: Check for any high concentration risk;
￮ Opportunity Dimension: Comparing the alignment of held currencies with market hotspots (e.g., missing out on recent AI sector gains)
￮ Cost Dimension: Calculating the deviation of the average holding cost of various currencies from the current market price;
Through professional analysis across multiple dimensions, ultimately providing users with specific rebalancing suggestions.
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 trading democratization
In traditional models, institutions spend over $1 billion annually on data services and quantitative tools, while GetAgent equalizes these capabilities through AI. Whether it’s intelligent analysis or strategy generation, they are offered in a conversational format for free or at a low cost, meaning retail investors finally have the possibility of 'tool equality' with institutions.
Market Efficiency Leap
As GetAgent is used by more and more users, we believe that the efficiency of user information processing, decision accuracy, and average trading frequency in the cryptocurrency market will see significant improvements. This efficiency boost will transmit from ordinary traders to the entire cryptocurrency trading market — as more traders can quickly digest information, the speed of price discovery will accelerate, irrational volatility will decrease, and the maturity of the market is expected to converge with that of traditional financial markets.
New Paradigm of Human-Machine Collaboration
GetAgent is positioned not to replace traders, but to be a personal super assistant for every cryptocurrency trader. When AI handles 90% of repetitive tasks, traders can focus more on the 10% of creative decisions. This division of labor model has been validated in traditional finance (like Bridgewater’s human-machine collaboration system), and GetAgent has brought it into the cryptocurrency trading market for the first time.
V. Conclusion: In the AI era, what is the future of trading?
If the core of Web3 is 'decentralization', then GetAgent is using AI to achieve another dimension of equality — making professional trading capabilities no longer 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 demonstrates that the application of AI in cryptocurrency trading 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 is even better at processing data than humans, the competitive rules of the cryptocurrency market will be redefined — the future trading champion may not be the one who understands technology the best, but rather the one who knows how to collaborate with AI best.
If you are still anxious about massive information overload and troubled by complex operations, perhaps you can try opening the Bitget App and ask GetAgent 'How's the market today?' — perhaps the moment you start the conversation, the future of your trading has already arrived, giving you a chance for explosive wealth growth, right at your fingertips.
GetAgent invitation code event link: https://www.bitget.com/events/bitget-getagent
