Defi’s growth is expected to attract steam with forecasts that revenue could reach $376.9 million in 2025. Autonomous agents are expected to play a key role in the growth of the Defi ecosystem. Autonomous agents run trades quickly, operate 24/7, and adapt to the market.
Navigating Defi Realm has been richly refined in recent years with a large number of protocols, chains and strategies.
The Defi market generated revenue of $376.9 million by 2025, with TVL projecting to reach $138 billion this December. As the market grows, the magnitude of the potential opportunities offered is only consistent with the cognitive demands placed on participants.
This creates the perfect storm for automated trading tools to take part in the fight, helping to ease many of the human restrictions that are currently permeating the sector. For example, these tools can run trades in seconds or milliseconds in volatile markets where timing means differences in booking of major profit or losses.
Perhaps more importantly, these entities will be operated continuously and allow for participation in a non-sleeping global market. Finally, eliminating emotional decision-making and following predefined strategies can enhance both profitability and risk management with large margins.
Looking beyond basic automation
Historically speaking, we can see that first generation defi automation tools focus primarily on performing simple tasks. That is, it is a basic trading bot following pre-determined rules that automatically move funds between protocols based on static parameters.
These tools are undoubtedly resourceful and provide user value in a way that saves time and is consistent, but can adapt to rapidly changing market conditions and truly sophisticated cross-protocol strategies There was no intelligence to perform.
This was followed by the emergence of yield optimisers (such as the longing finances) that helped to develop automation of capital allocation across lending protocols and automatically move funds to maximize returns. The trading tools have since evolved from simple grids and arbitrary strategies to more complex algorithms that incorporate technical indicators.
That being said, these solutions still required critical user monitoring and technical knowledge to effectively configure them to be frequently manually adjusted to accommodate market changes .
More recently, market innovation has led to the birth of a “Xenocognitive” finance tool, where, as its name suggests, its usefulness exceeds human cognitive limits. At the forefront of this technological realm, Giza stands.
Unlike basic automation products that perform simple predefined tasks, GIZA’s autonomous agents continuously analyze market conditions between protocols, clients implement complex yield strategies and require external intervention It adapts to changing states without
At the heart of Giza’s approach is Alma, the first autonomous agent. With thousands of user-controlled agents managing large amounts of funds across a range of lending protocols, ARMA uses verifiable decision-making patterns to help Defi Intelligence aimed at providing full security and user experience. It offers a vision of how you can deliver market-leading yields while maintaining. sovereignty.
Rich features. This is what’s on offer!
Looking out, Giza’s architecture uses three integrated components to address many of the core challenges associated with agent-driven finance. For example, the “semantic abstraction layer” translates complex protocol interactions into standardized operations that agents can naturally infer and execute, providing sophisticated cross-protocol strategies without the need for protocol-specific interfaces. It makes it possible.
Similarly, the “agent authentication layer” uses the granular authorization management module to enable incompromising agent operations based on the platform’s smart account infrastructure. As a result, users can maintain full control of their assets while granting certain operational authority to the agent through session keys and programmable authorization policies.
Working with these interfaces is Giza’s “distributed execution layer” that provides crypto-economic guarantees for the system. This mainly thanks to the integration with Eigenlayer, where network operators can bet on native Giza tokens as collateral.
All of these create quantifiable costs of malicious behavior, encouraging correct execution through rewards for protocols. Not only that, by utilizing this comprehensive framework, autonomous agents can permeate cognitive barriers and ultimately unlock sophisticated strategic participation across protocols that are impossible for human operators. .
The result is a systematic market improvement, ranging from increased capital efficiency to improved price discovery and reduced systematic risk (through the atomic distribution of strategies).
The autonomous future of financial markets
A quick look at some of the numbers available online shows that the growth trajectory of automated trading tools appears to be very exponential. One report predicts that the crypto trading bot market will reach $416.1 billion by 2033.
This expansion appears to have been driven by advances in AI and ML, allowing the system to analyze huge amounts of data, predict market trends, and implement sophisticated strategies at unprecedented speeds.
Therefore, as these technologies mature, the boundaries between automation and true market intelligence continue to blur, reconstructing how individuals and institutions engage with digital assets. Within this, agent-driven platforms like Giza stand to reconstruct the defi trading paradigm by acting as an extension of human intent.
