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On-chain data reveals bull and bear market: Murphy's four-dimensional judgment on cycle position
Dialogue with Trader Murphy: On-chain data is not like carving a boat to seek a sword; what four dimensions tell you where you are in the current cycle?
Murphy is an on-chain data researcher who shares his research results on Twitter under the handle @Murphychen888. He has a background in traditional finance and has worked in marketing, which has given him a sensitivity to data. He entered the cryptocurrency space in 2017 and has experienced multiple cycles of bull and bear markets. In 2022, he began researching on-chain data, hoping to find a set of investment methodologies that can be effectively executed, replicated, and closed-looped.
Murphy's trading strategy
How does Murphy determine the bottom and top of ###
To determine the bottom, mainly look at the following 5 indicators:
CVDD(Cumulative Value-Days Destroyed): Historically, the BTC price has never effectively fallen below the CVDD value, which can be used to assess market bottom prices.
RP(Realized Price) and BP(Balance Price): When the BTC price falls below RP, it is a good buying opportunity when consolidating in the channel between BP and RP.
PSIP(Person Supply in Profit): When it is less than 50%, it is usually an extreme bottom of a bear market.
LTH(Long Time Holder)'s NUPL and MVRV:
Miner Perspective:
To determine the top, mainly look at the following 3 indicators:
MVRV: Sell when it is greater than 3.
URPD( Unspent Realized Price Distribution ): Reflects on-chain chip structure, can be used to verify other topping signals.
Supply and Demand: When long-term holders (LTH) start selling off in large quantities, it may be close to the top.
The applicability of Murphy's trading strategy
Suitable for:
Not applicable to:
Murphy's learning method
Murphy's "Stop Doing List"
Murphy believes that macro-dominated expectations lead to changes in sentiment, which in turn affects the supply-demand relationship, ultimately determining the BTC price. Through on-chain data analysis, one can identify the factors and logic behind the data that reflect the supply-demand relationship, thereby judging trends and cycle transitions.