Foreign media reports that as more traders focus on both stocks and crypto assets, AI trading bots, originally used for stock scanning and automated execution, are being introduced into the crypto market. These tools primarily help users filter signals faster, track volatility, and process trades according to preset rules in a 24/7 market.

24-hour market drives up demand for automation

The article points out that the stock market has fixed trading hours, allowing traders to review their trades after the market closes, but the cryptocurrency market has no such pauses. Bitcoin, Ethereum, and other tokens can fluctuate rapidly overnight, on weekends, or after breaking news. Many people don't lack judgment, but rather the ability to continuously monitor the market.

In this context, AI trading bots are seen as monitoring tools that can track major asset prices, identify abnormal trading volumes, observe increased volatility, analyze different market signals, and issue s when preset conditions are met. The article argues that these systems primarily address the question of "where to look."

The key is to screen signals, not to promise returns.

Foreign media outlets repeatedly emphasized in their articles that so-called "crypto profit opportunities" are not equivalent to fixed or passive income, nor do they mean that the tools can guarantee profits. A more accurate statement is that automated systems can help traders discover, monitor, and manage potential trading opportunities, but market risks do not disappear as a result.

The article mentions that products like BulkQuant are integrating multi-market access, automated execution, and risk setting into more understandable workflows, targeting users who want to use AI tools but don't intend to write their own trading systems. For these users, the platform is more like an automation gateway than a profit guarantee.

Rule-based enforcement is considered a practical application.

The article argues that another use for such tools is to shift the trading process from emotion-driven to rule-driven. The crypto market is more volatile, and traders are prone to deviating from their original plans due to chasing highs, panic, or a rush to recoup losses. Automated processes require users to pre-set monitored assets, trigger conditions, position limits, stop-loss levels, position reduction conditions, and pause rules.

The article also mentions that AI scanning logic commonly used in stock trading, such as breakouts, volume surges, trend changes, and volatility shifts, can also be applied to the crypto market. For traders, a more effective approach is not to monitor multiple charts simultaneously, but to filter out noise first and then focus on analyzing targets that truly align with their strategies.

Overall, this article describes AI trading bots as tools to assist decision-making and improve execution consistency. Their core selling point is continuous monitoring and rule-based processing, rather than replacing traders in taking risks or providing predictable returns.