Autonomous AI Agents Becoming the Trend in Crypto Trading Today

Modern technologies will inevitably blend together at some point. And as most people expected, AI and blockchain technology will clearly come to a common point sometime in the future. Until now, AI has been mostly used to generate content, whether written, audio, or video. Today, AI seems to step into the crypto world and make the difference there as well.

If you’ve ever used bots or automated trading in crypto, that means you’ve already relied on some sort of artificial intelligence. Things are going further these days, leading to on-chain liquidity management as well. Crypto applications based on AI are estimated to grow by 10% to 20% within the next few years, especially since more and more investors show interest in this field.

Manual Trading to Automated Trading

Initially, trading relates to buying and selling. Today, things are slightly different:

• Modern DCA strategies. Such Dollar Cost Averaging strategies imply buying specific amounts of coins at set times in order to diversify assets.
• Liquidity management. Liquidity can now be moved from one pool to another in order to keep risks to a minimum.
• Arbitrage. Modern strategies allow dealing with the same asset on more exchanges in order to find the most profitable deals.

Such strategies are often automated and rely on smart contracts and up-to-date information and analytics. Of course, to work with such a tool, you’ll need to be advanced in cryptocurrency tools such as secure wallet SDKs and APIs, not to mention the blockchain technology. However, creating the perfect tool is totally doable now.

Tools and Standards Relating to Agent Engineering

Creating professional agents that can get into Web3 stacks has never been easier, especially with the growing popularity of agent architecture. Such frameworks allow an automated approach to numerous concepts in the crypto industry.

Basically, a professional agent model can be a mix between a wallet SDK, a blockchain RPC and even an on-chain oracle. Modern agents employing artificial intelligence feature the capability to monitor and test ideas in order to provide the highest safety standards.

Security Standards, MEV & Potential Risks

There are plenty of opportunities to exploit when permissions are limited on blockchain technology. In 2024-2025 studies, it was demonstrated that even smart-contract exploits can be discovered or generated by using LLM-powered agents. On top of these, MEV marketplaces allow agents to work against each other over the block space.

There are more options to deal with such potential risks. For example, formal verification can clear out some of the risks. External audits are just as common, not to mention timelocks or even MEV routing.

Having Your Own AI Copilot for Investments

You don’t have to be a professional coder to build your own AI copilot, since there are countless applications out there. Each of them comes with its own particularities. Here are some of the general benefits you can enjoy:

• Sentiment predictions. Some copilots can scan discussions and chats to determine the market mood and potential price changes.
• Personal risk assessment. Risk assessment won’t be done according to the market, but according to your own portfolio.
• Wallet intelligence. AI can monitor what’s going on with other wallets and identify trends based on what people do over the same network.

If you look at these, you realize that people could never provide such detailed insights, let alone identify trends in such small details.

Regulating the Crypto Market

Regulation has always been an issue with the crypto industry. Besides, these days, more and more regulators are aware of how these autonomous AI agents operate, making things even more complicated for them.

Such AI robots can implement things at literally any scale. They can change things and strategies in real time, all while complying with trading rules. Obviously, regulators tend to question these things, especially the fairness in such a process.

More and more projects pop up on a regular basis, with some of them clearly dominating the industry. Regulations will most likely indicate which ones can be widely adopted.

Moving Forward

The implementation of AI into the crypto industry is already happening, but there are also a few obstacles on the way.

Many AI bots are nothing but black box solutions, which aren’t always compatible with blockchain rules in terms of transparency. Then, it’s essential to think about the security of smart contracts, which can be exploited if they have any weaknesses.

In terms of ethics, some say AI can control the market or even apply unjust algorithms because they act like robots, rather than people.

These are only some of the obstacles out there, but chances are they’re temporary. The trend is clearly going in this direction, with intelligent systems being allowed to operate autonomously.

AI agents are becoming more secure and sophisticated than ever, so they’re also expected to learn how to sort and develop sophisticated strategies as well. Anyone will gain access to them, but at the same time, it’s our responsibility to ensure we use the right system, especially when entrusting it with our money.