If you use on-chain data tools for trading, you'll notice an interesting phenomenon: long signals are always more accurate than short signals.

Why? Because most on-chain monitoring tools are naturally biased toward capturing incremental capital inflows and tracking smart money accumulation. But when it comes to shorting, just looking at on-chain data isn't enough.

Currently, my shorting decisions mainly rely on two factors: first, whether there are signs of major funds starting to exit; second, how the price reacts when it reaches key resistance levels. When both of these signals appear at the same time, the success rate of short positions is much higher.