Last night, the crypto market once again staged a thriller. An on-chain security vulnerability investigation on Flow was exposed, causing $FLOW to plummet, with a decline of over 42% within 24 hours, touching a low of $0.125.

These types of incidents always follow the same script: news announcement → price plunge → retail panic selling → institutions taking the opportunity to buy in. The only difference is the number of retail investors who are wiped out each time.

The problem isn't the black swan event itself, but that most people have no contingency plans for it. You lack real-time on-chain data, risk hedging tools, and strategies to respond to extreme volatility. All you have is watching the candlestick charts fall into panic.

What about the truly institutional players? Their risk monitoring systems detect large transfers and abnormal contract calls on Flow at the very early stages of anomalies. At that time, most retail investors are still asleep. By the time the news floods the headlines, their contingency plans are already in place.

Even more harshly, professional risk management frameworks include liquidity buffer mechanisms — so even if you are optimistic about an asset's long-term prospects, you can still obtain stablecoins for emergencies through collateralization during extreme fluctuations, rather than being forced to cut losses at the bottom. Meanwhile, asset ownership remains fully retained, which is the real advantage of information asymmetry.

Additionally, integrated hedging strategies allow some positions to generate automatic profits during volatility — not by betting on the direction, but by hedging with derivatives like options. Risk tolerance becomes risk management.

Every black swan event reveals the same truth: in the crypto market, information asymmetry is always the greatest weapon. While you're still guessing whether to cut losses, others have already executed a three-step chess move.

Before the next black swan arrives, ask yourself: do you want to remain the person who is helpless after the news is released, or proactively build your own risk warning and response system?