Behind the major internet platforms, there is a sophisticated user segmentation system.

Taking the operational logic of a certain lifestyle service platform as an example. The system continuously scans your behavioral traces—what times you're active, your response speed to orders, your sensitivity to prices—and tags you accordingly. Once identified as a "high-demand user" (the more obvious when you're short on money), the subsequent task rewards you receive may actually be lowered. Conversely, accounts that are "non-essential" can receive higher unit prices.

This logic applies equally to crypto trading. How does the algorithm treat addresses that trade frequently with large volumes? It classifies you as a "cost-reducible target." Addresses with low trading frequency and uncertain amounts are more likely to be assigned better prices and liquidity opportunities. The system predicts your "tolerance" based on your historical behavior data and then prices accordingly.

In simple terms, the more you behave like you're "forced to play," the more the platform will reduce your incentive coefficient.

The only effective defense is quite simple: maintain multiple accounts, diversify your operations, and occasionally change your behavior patterns. Don't let the platform fully see through your data. When your behavior pattern cannot be accurately predicted, you can return to a fairer pricing mechanism.