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Home»HACKING NEWS»Autonomous agents and their roles to promote a better defect economy
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Autonomous agents and their roles to promote a better defect economy

By Crypto FlexsFebruary 27, 20255 Mins Read
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Autonomous agents and their roles to promote a better defect economy
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  • Defi growth is expected to collect STEAM with the prediction that sales can reach $ 376.9m by 2025.
  • Autonomous preparations are expected to play an important role in the growth of the Defi ecosystem.
  • Autonomous Agent runs trading quickly, operates 24/7, and adapts to the market.

In recent years, many protocols, chains and strategies have become more sophisticated.

The Defi market is expected to generate $ 378 million by 2025. As the market grows, the size of the potential opportunities provided is consistent with the participants’ cognitive demands.

This causes a perfect storm for automated trading tools to enter the fight, which helps to alleviate the limitations of many human beings in this sector. For example, these tools can be executed in a few seconds or milliseconds, and timing is an important aspect in the volatile market, which may mean the difference in major benefits or losses.

Perhaps more importantly, these entities can be operated continuously, so you can participate in the global market that never falls asleep. Finally, you can significantly improve profitability and risk management by eliminating emotional decisions and complying with pre -defined strategies.

Beyond basic automation

Historically, we can see that the first generation’s Defi automation tools focused on simple work execution. In other words, the basic trading bot that harvests the optimization of automatically moving the funds between the protocol based on the basic trading bot that follows a predetermined rules and the static parameters.

Such tools were undoubtedly volunteer, but there was a lack of intelligence to provide users’ value in the form of time saving and consistency, but to adapt to the rapidly changing market situation or to execute a truly elaborate cross -protocol strategy.

Since then, there has been the emergence of yield optimization (like forgn finance), which helps to pioneer automation of capital allocation that automatically move funds to maximize returns. Since then, the trading tool has developed into a more complex algorithm that integrates technology indicators in a simple grid and arbitrage strategy.

In other words, these solutions still needed important user directors and technical knowledge to effectively compete with frequent manual adjustments to cope with the changing market situation.

Most recently, as the market innovation, as suggested by their name, has led to the birth of the ‘Xenocognitive’ financial tool, which preserves user sovereignty and expands beyond human cognitive restrictions. There is a reporter at the forefront of this technical area.

Unlike basic automated products that execute simple pre -defined tasks, GIZA’s autonomous agent continues to analyze market conditions in the overall protocol so that customers can execute complex yield strategies and adapt to changing conditions without external intervention.

At the center of GIZA’s approach is ARMA, the first autonomous agent. ARMA provides a vision of a way of providing the market’s best return while maintaining complete security and user sovereignty through verified decision -making patterns through thousands of user control agents that manage significant amounts of money in various loan protocols.

Rich features. The contents provided are as follows!

Looking at the outside, GIZA’s architecture uses three integrated components to solve many key problems related to agent -oriented finance. For example, the ‘Semantic Abstracting Stray’ converts complex protocol interactions into standardized tasks that can be naturally inferred and executed, enabling a sophisticated cross -protocol strategy without requiring an interface for each protocol.

Similarly, ‘Agent Authorization Layer’ builds a smart account infrastructure of the platform to enable non -contract agent work by using segmentation authority management modules. As a result, users can fully control their assets by granting certain operating authority of agents through session keys and programming authorized authority policies.

Working with these interfaces is GIZA’s ‘distributed execution layer’ that provides a cryptographic guarantee to the system. In general, the unique integration allows network operators to withdraw the default GIZA tokens as collateral.

All of this creates a quantified cost of malicious actions while encouraging the right run through the protocol reward. In addition, by using this comprehensive framework, autonomous agents can spread cognitive barriers and eventually unlock the elaborate strategy from protocols that are impossible for human operators.

As a result, systematic market improvement is made from improving capital efficiency to improved price discovery and atomic distribution of strategy.

Autonomous future

Simply looking at some of the number of available online, the growth trajectory of the automated trading tool seems to be a significant index, and one report expects the encryption trading bot market to reach $ 41.1 billion by 2033.

This expansion seems to be promoted by the development of AI and ML so that the system can analyze the vast amounts of data, predict market trends, and execute elaborate strategies at unprecedented speeds.

Therefore, as these technologies are matured, the boundaries of automation and true market intelligence will continue to be blurred, and will reconstruct the way that individuals and institutions participate in digital assets. Among them, the agent -centered platform, such as a reporter, stands to reconstruct a flawless paradigm by operating as an expansion of human intentions.


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