On December 5, CryptoQuant analyst @AxelAdlerJr analyzed Bitcoin on-chain signal indicators and stated that the current market has entered a deep correction phase, a stage that lasted for a year in the previous cycle. The current maximum Bitcoin drawdown from its historical high is -32%, placing it in the intermediate zone between a deep correction and a market bottom. If macroeconomic and on-chain signals do not improve, there is still a risk of continued decline in the market. In summary, the current combination of signals indicates that the market has entered a structural adjustment phase: the profit and loss score corresponds to the bear market range in history, while the -32% drawdown has already exceeded a typical cyclical adjustment. As long as there are no signs of improvement in on-chain and macro indicators, the likelihood of continued decline remains high. Recovery will take time and will require a shift in sentiment within the network’s profit and loss structure.
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CryptoQuant: The market has entered a structural adjustment phase, and the likelihood of continued decline remains high.
On December 5, CryptoQuant analyst @AxelAdlerJr analyzed Bitcoin on-chain signal indicators and stated that the current market has entered a deep correction phase, a stage that lasted for a year in the previous cycle. The current maximum Bitcoin drawdown from its historical high is -32%, placing it in the intermediate zone between a deep correction and a market bottom. If macroeconomic and on-chain signals do not improve, there is still a risk of continued decline in the market. In summary, the current combination of signals indicates that the market has entered a structural adjustment phase: the profit and loss score corresponds to the bear market range in history, while the -32% drawdown has already exceeded a typical cyclical adjustment. As long as there are no signs of improvement in on-chain and macro indicators, the likelihood of continued decline remains high. Recovery will take time and will require a shift in sentiment within the network’s profit and loss structure.