Have you ever thought about what the biggest difference is between trading and gambling? One relies on data to speak, while the other is entirely based on intuition. Quantitative robots are the former—they consume data, drink algorithms, and roam the market 24/7.

To put it simply, the biggest enemy of manual trading is oneself. When the price of a coin rises, FOMO kicks in; when it falls, panic selling happens. Robots don’t do that. They strictly follow predetermined strategies, regardless of market fluctuations—when to make a move, when to cut losses. The benefits of this approach are obvious—risks are more controllable.

Another approach is multi-strategy combination. Some prefer short-term grid trading, others lean towards medium-term trend following, and some play arbitrage. Different strategies adapt to different market conditions, dispersing the risk of a single strategy failing. Relying on one leg is unstable; multiple legs make it much more stable.

To be honest, efficient trading must be supported by a system. Human resources are limited, and the mind can get tired. Robots fill this gap—they can monitor multiple coins and trading pairs simultaneously, missing fewer opportunities. Whether efficiency and returns can be improved depends on whether the strategy itself is reliable, but at least it won’t miss market opportunities because of sleep.