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How can on-chain data guide trading? Murphy's four-dimensional analysis of market cycle positions.
Conversation with Trader Murphy: On-chain data is not a futile effort; which four dimensions tell you where you are in the cycle?
Murphy is an on-chain data researcher who did not have a stable trading strategy in the last cycle. Therefore, in 2022, he decided to seek a trading strategy that could be effectively executed, replicated, and closed-loop, to avoid being influenced by emotions.
Murphy's trading strategy main features:
This trading strategy is suitable for:
Murphy determines the timing for bottom fishing through the following 5 data points:
CVDD ( Cumulative Value-Days Destroyed ): Historically, the BTC price has never effectively fallen below CVDD, which can be used to assess the market bottom price.
RP ( Realized Price ) and BP ( Balance Price ): When the BTC price consolidates in the channel between BP and RP, it is a good buying opportunity.
PSIP (Person Supply in Profit): When it is less than 50%, it is usually an extreme bottom in a bear market.
LTH ( Long Time Holder )'s NUPL and MVRV:
Miner's Perspective:
To determine the "top" timing, mainly look at 3 indicators:
MVRV: When it exceeds 3, selling can begin, and a reverse smile curve forms near 3 to complete the sale.
URPD: Reflects the on-chain chip structure, showing the turnover volume in a certain price range, used to verify other peak signals.
Supply and Demand: Pay attention to the chip distribution situation of long-term holders (LTH). When LTH starts to sell on a large scale, it may be close to the top.
Murphy believes that the current market is in a bull market correction phase. He expects the next relative top range to possibly occur between March and April 2025, but it needs to be confirmed further with macro data.
Murphy's learning method:
Murphy's trading strategy may fail under the following circumstances:
Murphy's Stop Doing List:
Murphy emphasized that on-chain data analysis is not about seeking a sword by carving a boat, but rather understanding the logic behind the data and judging market trends in conjunction with changes in the macro environment. He summarized: "Macro dominates expectations, expectations change emotions, and emotions affect supply and demand, which ultimately determine the price of BTC."