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Younger traders in the cryptocurrency market are increasingly adopting artificial intelligence tools to help manage the inherent volatility and uncertainty of the space, according to a recent survey conducted by MEXC, a cryptocurrency exchange [1]. The study found that Gen Z traders are turning to AI bots to support decision-making, particularly during periods of sharp price swings and market turbulence. Rather than fully automating trades, these AI tools are used as a strategic aid—enabling traders to set predefined parameters such as stop-losses or profit targets and then allowing the bots to execute actions while the trader observes [1].
This shift marks a generational divergence in trading approaches. Unlike Millennials, who tend to rely on traditional methods such as technical indicators and chart patterns, Gen Z traders prefer more interactive and flexible tools that align with their digital-first mindset [1]. AI bots offer a way to reduce emotional decision-making in high-stress environments, helping traders adhere to pre-defined strategies and avoid impulsive actions during market chaos.
The use of AI in trading is not limited to automation alone. These tools are also being used to monitor real-time news, social media sentiment, and geopolitical developments that can influence crypto prices [2]. For example, recent pauses in U.S. tariff policies and political events have led to increased market fluctuations, and traders are using AI to filter and prioritize information that could impact their positions [2].
Despite the growing reliance on AI, human judgment remains a critical component of the trading process. The survey indicates that traders still validate AI-generated insights using their own market knowledge and risk preferences, creating a hybrid approach that balances algorithmic precision with human oversight [1]. This reflects a broader trend in the financial sector where AI is increasingly used as a decision-support tool rather than a fully autonomous system.
Looking ahead, MEXC expects AI to play an even more prominent role in trading activities, potentially extending into areas such as portfolio balancing, tax tracking, and risk management [1]. However, challenges remain, particularly around the quality of input data and the transparency of AI decision-making. As these tools evolve, they will likely offer greater customization and adaptability, allowing traders to fine-tune their strategies with greater precision in an increasingly complex market landscape.
[1] MultiBank.fx - Home, https://trade.multibankfx.com/
[2] Crypto prices affected by tariffs and politics, https://www.facebook.com/groups/2028862550588932/posts/3493179****90569/

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