Physical Address
304 North Cardinal St.
Dorchester Center, MA 02124
Physical Address
304 North Cardinal St.
Dorchester Center, MA 02124

Petget It has spent the past year positioning itself at the intersection of retail-friendly user experience and advanced business tools.
Its latest addition aims to, Get Agentbridges the gap between analysis and execution by providing a single conversational interface for traders that can interpret orders in natural language, generate market insights, and place trades directly in the app.
In the review, the function is presented not as another chatbot ready to show, but rather as a functional assistant that helps reduce friction in day trading. Here is a brief summary of how GetAgent works in practice, with a step-by-step guide that anyone can follow.
Sponsored
Sponsored
Access GetAgent in an application Petget Be intentionally simple. The Assistant is available from several places: the Additional Services menu on the home screen, the asset dashboard, and directly through individual code pages. In some markets, BitGet automatically displays a banner such as “GetAgent performing analysis” to indicate that contextual insights are already prepared for a particular asset.
Once opened, traders are greeted with a simple conversational interface. Suggested pointers appear below, but the Assistant works best with natural instructions.
Example from the video: We gave the following command: “I want to buy ZEC, but I want to buy at a lower price. What is a good entry point?”
A few seconds after generating a response, GetAgent provides a complete analysis, including the current trade price, potential support levels and resistance levels. It generates a short-term analysis that emits a bearish signal. Then determine the entry strategy, and suggest an entry point between $220 and $225.
He then went on to suggest that the user should allocate only 20% to 30% of the capital, rather than investing everything at once. The user is also provided with suggested stop loss levels. Most importantly, it always provides several options for stop loss and take profit purposes, classifying them as very conservative, moderate or high risk options. For profit purposes, it provides several options depending on the level of optimism that the user can feel about the installation.
The goal is clear: eliminate the need to jump between charts, order forms, external tools and dashboards in a chain.
The output of GetAgent depends on the request. When asked for market insights, it produces a structured breakdown: short-term outlook, technical indicators, relevant price levels, and sentiment signals that help traders orientate quickly without opening a full set of charts.
When the user requests a proper trade, the assistant generates a preview card. This card includes the symbol, the estimated price of the execution, the type of order and the exact amount, which allows traders to confirm with a click. If the transaction involves a Web3 token, an additional confirmation step appears on the chain.
Example from the video:
This section explains the live and practical capabilities of agent-facilitated trading. We initiate a specific market action by issuing the following order: “Place an order for ZEC/USDT at $225 for $25”.
This was a clear and concise directive executed in a volatile futures trading environment, which requires careful management of risk and leverage. Basically, before executing the order, we made sure that the necessary margin was available by manually transferring the funds to our futures account. The system processed the order immediately, and the purchase order was executed at the specified price, which confirmed the reliability of the agent in executing orders.
Sponsored
Sponsored
The process then moved to the strategy, where we identified the optimal exit. We quickly consulted GetAgent to guide us on the ideal selling price, comparing a quick exit with an entry price of $225 or a higher target of $230. Based on our analysis and the agent’s input, we finally decided on a target of $230. When successfully executing a sell order at this higher price, we were pleasantly surprised by the quick and favorable result: the chosen strategy was successful, resulting in a 2.25% profit on the trade and improve the efficiency of the use of GetAgent in the execution and tactical decision.
The video shows how instant trading becomes seamless with the smart assistant. The flow usually looks like this:
The strength of this system lies in its consistency. Whether trading ZEC, ADA or BTC, the process remains similar, reducing the mental burden and minimizing errors caused by messy mobile interfaces.
Portfolio analysis feature
One of the most powerful and time-saving functions that GetAgent offers is its ability to comprehensively analyze a portfolio and provide reports, which is activated through a simple and very intuitive command. This functionality allows users to remove manual tracking and get deep insight into their investments instantly.
Examples from the video:
Let’s start this process by issuing the command: “Create a custom daily report based on my portfolio.”
The agent processes the request quickly, providing the result in just seconds. This generated report provides complete transparency into our asset structure, detailing the assets we hold in total, the exact times of purchase and sale for each cryptocurrency, and a statistical breakdown of our overall trading performance in the specified period. In addition, the daily report extends beyond personal businesses, providing us with a crucial overview of the market, including a list of the biggest winners and losers of the day and most importantly, it provides detailed and automated technical analysis of the cryptocurrency we focus on, which in this documented case was ZEC. This level of automated detail allows you to make quick data-driven decisions, without the need for external research.
Sponsored
Sponsored
Going beyond the execution of the deal, we asked GetAgent to provide their strategic assessment of our overall portfolio composition. In particular, we asked the agent his opinion on whether holding fiat currencies poses an unacceptable level of risk. The agent analyzed the matter in great detail, providing a complete discovery of the factors involved. The end result was that although holding fiat currency was not inherently risky in terms of security, it clearly confirmed that our money is not protected from inflation. This highlighted the crucial difference between currency security and the erosion of purchasing power over time.
For merchants transacting with Web3 tokens, GetAgent facilitates on-chain purchases in the same conversational manner.
A simple question like “Buy 200 USDT from ZEC on chain” Pay the assistant to prepare a preview of the transaction. Here, traders will see the network, gas rate estimate and code details, followed by signature confirmation. The simulation mirrors the experience of typical Web3 wallets, but eliminates many manual steps.
Align design philosophy with advanced features made simple by natural language.
One of the advanced demos in the video involves creating a trading bot directly from chat. Instead of navigating through multiple configuration pages, traders can describe the strategy they want:
GetAgent converts the request into a robot form ready for execution. After reviewing the settings, users can activate the bot and track its performance in a custom dashboard.
Sponsored
Sponsored
For traders with intermediate knowledge, this feature effectively compresses the learning curve of creating robots.
Apart from its conversational features, GetAgent now includes a range of AI-based trading strategies that operate in real-time, providing users with a transparent view of how different trading philosophies perform under current market conditions. inside Model yardare displayed I took it Different AI bots are specialized in trading – each one represents a different approach such as hedging, push momentum of major currencies, altcoin breakouts, or mechanical grid execution. These agents manage real accounts and show execution, entry, exit and drawdown performance curves as they occur. For investors, this creates a rare opportunity to observe, study and compare AI strategies in real time side-by-side, giving actionable insights into how different models respond to volatility, trend changes and market structure. Whether users prefer conservative settings or high-beta plays, transparent data helps them choose the approach that aligns with their risk profile and trading style.
Although GetAgent speeds up the execution, the wizard keeps prompting the user to review the details before confirming. This includes:
Every trade, bot deployment or wallet change is recorded in the user’s order history or activity. The assistant’s role is to speed up decision-making, not to override standard security practices.
From a user experience point of view, GetAgent from BitGate seeks to achieve simplicity for the average user with professional tools. Instead of opening several UI panels, the user interacts through a single conversational interface, something that seems more intuitive as smart products are more and more integrated into business platforms.
It removes the complexity for beginners. Reduce friction for experienced traders. For BitGate, it represents a step towards a more unified trading system, where analysis, execution, chain interaction and strategy automation can be enabled in a single line of text.
BitGate’s GetAgent does not replace critical thinking or risk management, but it is reshaping how traders interact with the exchange. Whether the goal is to trade faster, get real-time market context, or test automated strategies with minimal settings, the Assistant offers a tangible upgrade from traditional mobile trading flows.
As exchanges race towards AI-embedded interfaces, BitGate offers one of the most functional and ready-to-use applications on the market, one that reduces friction and shows immediate benefits for day traders.