Recently, I’ve been researching an interesting trading strategy—using on-chain data to capture the timing of price swings.
The logic is quite simple: you can’t predict where a child will run in the next second, but the moment he charges toward a flock of pigeons, you absolutely know the pigeons are about to fly🐦. The crypto market is similar. Price itself is hard to predict, but on-chain transfers, large fund movements, and wallet concentration—these “actions” often give clues in advance.
For example, when a whale suddenly transfers tokens to an exchange, DEX liquidity pools spike, or gas fees surge abnormally—these signals are like startled pigeons. They may not be 100% accurate, but at least they let you get ahead of the curve. The key is to find that critical “chasing the pigeons” moment.
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Recently, I’ve been researching an interesting trading strategy—using on-chain data to capture the timing of price swings.
The logic is quite simple: you can’t predict where a child will run in the next second, but the moment he charges toward a flock of pigeons, you absolutely know the pigeons are about to fly🐦. The crypto market is similar. Price itself is hard to predict, but on-chain transfers, large fund movements, and wallet concentration—these “actions” often give clues in advance.
For example, when a whale suddenly transfers tokens to an exchange, DEX liquidity pools spike, or gas fees surge abnormally—these signals are like startled pigeons. They may not be 100% accurate, but at least they let you get ahead of the curve. The key is to find that critical “chasing the pigeons” moment.