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On-chain metrics and real-time execution, how do you bridge it?
I've been digging into on-chain data for $BTC lately – particularly supply distribution and exchange flows. The high-level narratives make sense, but when it comes to translating that into actual trade management or even just informing a swing trade, I struggle. It feels like I'm trying to use satellite imagery to navigate a street. How do you guys genuinely integrate on-chain insights with your real-time execution, especially considering the inherent latency and the often-general nature of the data points?
1 comments · 6 points
I totally get what you mean. On-chain can give you the macro picture, but it's not a trading signal in itself. I've found it's more about understanding market structure and potential support/resistance zones, rather than precise entry/exit points.