AI agents in crypto trading: new rules of the game

Trading has always been one of the key areas of the crypto market, and with the emergence of AI technologies it is gaining a new dimension. Artificial intelligence is no longer just an auxiliary tool for analyzing charts and indicators and is turning into a full-fledged trading partner capable of accompanying a trader at all stages of the process – from research and market analysis to decision-making and automatic execution of trades. As a result, AI agents not only help increase the win rate, but also significantly simplify the trading process itself, making it more systematic, predictable, and transparent.

Let us consider several examples of how AI agents are used in practice:

Velvet Capital
This is an onchain terminal with a wide range of AI functions designed for comprehensive trader support. The agent assists at all stages: it analyzes the current market situation, suggests optimal entry and exit points, and evaluates risks. This approach makes the trading process more structured and reduces the impact of the human factor, especially emotional decisions that often lead to losses.

Cod3x
This tool is especially useful for those who have a clear trading idea or thesis. For example, if a trader believes that XRP is overvalued and plans to open a short position, the AI agent is able not only to analyze the market, but also to propose specific steps and, if necessary, independently open and close trades in accordance with the given strategy. This approach minimizes errors and speeds up decision-making, allowing the trader to focus on strategy and risk monitoring.

Mode AI Trading Agents
This agent provides maximum autonomy. The user only needs to specify parameters: allowed markets, maximum leverage, and deposit funds in stablecoins. After that, the agent can fully manage trading, independently opening and closing trades and optimizing positions in real time. This level of automation saves time and reduces the trader’s workload while ensuring continuous market monitoring.

Figment Trade
One of the main reasons why many traders do not trust bots is the lack of understanding of decision-making logic and trade entry conditions. Figment solves this problem by explaining each of its actions in detail. The user sees not just a Long ETH command, but receives an explanation of why the trade was opened, which factors are taken into account, and which conditions must be met to close the position. This level of transparency increases trust and allows for a better understanding of how the AI agent operates.

Overall, the market is gradually moving toward automation and reduced dependence on manual trading. AI agents are becoming an integral part of this evolution, enabling traders to work more efficiently, react faster to market changes, and minimize the influence of emotions.

At the same time, it is important to remember the risks. An AI agent is a tool, not a guarantee of profit. Before using any trading bot, it is necessary to carefully study its functionality, operating principles, risk management settings, and decision-making algorithms. Conscious use of AI agents allows not only to increase trading efficiency, but also to reduce the likelihood of errors and financial losses.