In the past few years, AI Trading Agents emerged as the offshoot of AI implementation in crypto, and a useful trading tool that captured VOOI’s attention. The idea of merging AI with DeFi is not new, and does sound hyped and quite promising: maximising profit with few manual tasks.

Though, how do these agents elevate and innovate decentralized finance and trading? And what exactly do these AI agents do? Let’s break it down.

What Are Crypto AI Agents?

Crypto AI Agents are the autonomous assistants, tailored to carry out crypto-related tasks. Just like you ask Grok, ChatGPT or Gemini “to prepare a short summary of something” - you prompt AI Agents to the crypto-related problems.

These AI Agents are powered to gather, collect and translate the information to create the insights, suggestions and strategies to make DeFi operations better.

AI Agents, according to the research data, have spawned over $15 billion in the market capitalization by the end of Q4 2024, while also surging in the number of transactions. The most popular AI Agents are mostly presented on Solana and Base blockchains.

The ecosystem of crypto AI Agents is diversified, consisting of several AI models used for specific tasks.

• Some of them are focused on crypto investments and smart fund management (like Arok VC and agents built on ElizaOS by a16z);

• While others utilise the research frameworks to support crypto users information-wise (Kaito Platform, AIXBT, GRIFFAIN, etc.);

• There’s also Askjimmy - an autonomous trading agent enabling research, sophisticated strategies execution, backed by various DeFi and TradeFi data sources.

Besides the differences in the framework each type of AI Agent utilizes, they’re designed to strengthen the positions of traders in the market pace, improve the DeFi trading and investment tools.

One of the AI Agents categories that is directly applicable to the real use cases in DeFi is the Autonomous Research Agents (ARA).

Autonomous Research Agents: A Special Role in DeFi

General AI Autonomous Research Agents embody four main concepts: Data Aggregation (On-chain, off-chain, news, analytical platforms, etc.), Analysis, Prediction and Execution. However in DeFi, AI Autonomous Agents are like the most advanced and capable financial brain. They focus on market and investment research, assisting traders to execute on-chain activities. The main goal of autonomous research AI Agents is to provide a trader with actionable insights to suggest trading strategies to carry out.

Autonomous Research agents do not typically complete assigned tasks, but rather help out and inform. There are several implementations of how traders can interact with AI Agents. The simple simulation of using an AI Agent could look like that:

1. While trading on your usual platform (f.e. VOOI Trading Terminal), you choose a specific tokenized AI Agent or a platform alike (example: Alva by Galxe) to assist you with the trading strategy;

2. As you initialize the AI Agent operation, you may either top it up with funds (basically, purchasing the AI Agent token), or purchasing an access to the AI Agent database directly via subscription; It’s important to note that these are just some of the options on how to power AI Agents to operate.

3. In some cases (like with the AIXBT AI Agent) you get access to the AI-powered market insights and data, tailored to your trading preferences.

   
   

The main challenges in this case are the scope and size of information AI Agents have, as well as their popularity. The more traders engage with them, the better the suggestions they provide.

One of leading examples of AI Research Agents is Alva - an assistant built to help traders navigate the noise of crypto markets with clarity and speed.

Alva aims to surface high-signal insights on on-chain activity, sentiment shifts, and token fundamentals, enabling users to catch trends early, avoid traps, and make sharper decisions. By acting as a research co-pilot, the platform helps reduce the time it takes to go from signal to strategy—giving traders a consistent edge in fast-moving markets.

Available as a chatbot, browser extension, and Telegram bot, Alva integrates directly into the tools traders already use. The team is also exploring agent-driven alert systems, pointing toward a future where personalized AI assistants help scale every trader’s edge.

Nevertheless, the use cases of AI Agents focus on elevating DeFi experience, including research assistant, and in some cases - automation, vault and hedge fund concepts implementation.

AI accelerates DeFi – what VOOI strives to do as well.

Autonomous Trading Agents: Democratizing Finance

AskJimmy is built on two powerful pillars, the Library and the Trading Floor. The goal is to bring institutional-grade trading capabilities to DeFi, enabling internet capital markets to thrive on Solana.

The Library: This is the most comprehensive trading strategy database ever built for DeFi, consuming not only DeFi native data but decades of proprietary TradFi data and research from Columbia University. This is a vast repository of trading knowledge that any AI can tap into. It's not just data though - it's decades of trading wisdom translated into actionable strategies

The Trading Floor: A multi-agent system where AI collaborates like a professional hedge fund. Multiple AI agents are working together, each specializing in different aspects of trading, collaborating like the world's most efficient trading desk. Ask Jimmy is currently backtesting several new strategies and the community has originated several themselves.

AI in VOOI: Unlocking Smarter Trading

As VOOI steps further towards the release of VOOI V2 and implementing Chain Abstraction and Derivatives Marketplace concepts, the AI Agents ecosystem looks like a natural fit.

And here’s why:

• Derivatives Marketplace enables trading of diversified markets: crypto, non-crypto, traditional ones like stocks, Forex, commodities;

• Chain Abstraction seasons V2 with the features of gasless, no-bridge trading, handling all trades via one wallet, across both EVM and non-EVM blockchains;

• AI implementation (through the AI Agents) strengthens the trading efficiency, allowing to detect inefficiencies, manage risks and unlock more profit opportunities.

This combination accelerates and transforms DeFi trading from casino-like experience into a sophisticated financial tool, democratizing finance for traders everywhere.

Though, the discussion is quite fresh: is there a possible practice of merging AI with trading applications like VOOI or they shall exist independently?