In traditional markets, institutional order flow is basically anonymized. Large positions should not directly visible, and although other participants may infer activity, they sometimes cannot observe exactly where a position becomes vulnerable.
Decentralized finance changes this. On some blockchain-based trading platforms, positions, leverage and liquidation thresholds will be visible in real time. In fact, other market participants can see where forced buying or selling may occur.
This transparency creates a more adversarial execution environment. A trader who identifies a big position near its liquidation threshold has a transparent incentive to drive prices toward that level, triggering a forced liquidation and taking advantage of the resulting order flow. In most traditional markets, such behavior would raise obvious concerns about manipulation. However, in decentralized markets it will possibly result directly from the market design.
The same problem also runs in reverse. A trader executing a big order must consider not only his own impact on price, but additionally whether his trade could trigger liquidation cascades in other positions that might move the market much further than intended and worsen his own execution.
In stressful scenarios, a 3rd level of risk occurs. When the exchanges’ insurance funds are exhausted, loss distribution mechanisms akin to: B. Auto-deleveraging, forcing healthy counterparties to soak up losses from positions they didn’t initiate. Implementation on this environment depends not only on modeling one’s own impact, but additionally on understanding the incentives of other participants and the foundations by which the venue redistributes risk under stress.
