
Jakarta, Pintu News – The cryptocurrency market has been buzzing since CryptoQuant CEO Ki Young Ju’s recent statement that a number of on-chain metrics indicate that Bitcoin could potentially enter a bearish phase – unless there is a large flow of liquidity, especially from spot ETFs, coming back into the market.
This has led to the analysis of the top cryptocurrencies coming back into focus as an important metric in assessing broad market conditions.

According to CryptoQuant, the majority of on-chain indicators – such as MVRV Z-score, P&L Index, Bull-Bear Cycle Indicator, and stablecoin liquidity – are currently showing red in the composite heatmap between 2021-2025.
This suggests that the selling pressure and trader activity reflects the potential for large market ups and downs. As a result, Ki Young Ju warns that without a large influx of liquidity (e.g. through institutional flows), the market could fall into a bearish cycle.
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Ju emphasized that the key to keeping Bitcoin from falling further is macro liquidity flows – especially through spot ETFs that can channel institutional capital into the crypto market.
If institutions return to buying through ETFs, this could ‘revive’ demand for BTC, shifting the chart from red to green. Without it, the risk of a bear market remains high according to recent on-chain analysis.
Ju mentioned that although current conditions reflect a decline from the highest peak, a worst-case scenario such as a 65% plunge as in 2022 is considered less likely – as long as large entities such as MicroStrategy (which holds 650,000 BTC) do not sell heavily.
Currently, BTC is reported to be at around -25% of its all-time high , so even if the market is bearish, it could be that the decline is limited and the market moves in a consolidation range.

According to a report cited by CryptoQuant, MicroStrategy has built up a liquidity reserve of US$1.44 billion to deal with possible price drops – meaning the company is no longer relying solely on BTC, but is also holding dollars as a buffer.
This “dual-reserve” model is designed to prevent forced selling pressure if the price drops too far. This is a signal that large entities are preparing for a long-term setback in the crypto market.
Ju stated that in the current environment, “reactive is more important than predictive.” This means that market participants and crypto investors need to monitor on-chain data, liquidity flows, and global macro conditions before deciding on a strategy.
This approach encourages scenario-based analysis: the market could be sideways, slightly rebounding, or bearish – depending on whether large liquidity comes back in. This makes Bitcoin (BTC) and other cryptocurrencies assets that are closely monitored by both institutional and retail investors.

While many indicators highlight risk, the structure of the crypto market is more mature: liquidity through ETFs, reserves by large institutions, and widely available on-chain data. According to Ju, this keeps Bitcoin in the spotlight compared to other cryptocurrencies – as the main asset with the largest capitalization.
In that context, Bitcoin and other crypto assets are again a hot topic of discussion in the global investor community, because price fluctuations and liquidity can occur suddenly.
Also Read: Decisive Week: XRP Braces for a Huge December 2025 Surge!
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The majority of on-chain indicators such as MVRV Z-score, stablecoin liquidity, and inter-exchange flow are showing bearish signals, according to CryptoQuant.
Because institutional liquidity through ETFs can inject huge demand into the market, thereby stabilizing prices and reducing selling pressure.
According to the analysis, the decline could be limited – far from the 65% scenario like 2022 – and may only be in a consolidation range if there is no major capitulation.
MicroStrategy has established US$1.44 billion in liquidity reserves as a buffer and implemented a dual-reserve treasury model to mitigate the risk of forced sales if prices fall.
According to CryptoQuant’s analysis, it is currently more suitable to monitor on-chain data and macro conditions – as opposed to making drastic decisions based on sentiment.