BTC falls below 6.2 million or detonates more than 500 million liquidations

According to Woofun AI, the Bitcoin price is facing a key game point, and the market liquidity structure shows that it is extremely sensitive. Current market conditions indicate that once the price deviates from the current range and hits a specific threshold, it will immediately trigger large-scale forced liquidation, causing huge leveraged positions within centralized exchanges to evaporate instantaneously, and the microstructure of the market faces severe tests.

In terms of downside risk, $62,859 forms the core support line, and a large number of highly leveraged long positions have gathered below this price. Data compiled by Woofun AI shows that if the price breaks through this threshold, an automatic sell order will be activated, triggering a chain reaction, causing long positions worth $5163.9 million to be forcibly liquidated on centralized exchanges. This kind of mechanical sell-off often intensifies downward momentum, driving prices further away from the equilibrium point.

The upside potential is limited by the strong resistance level of $64,094, where there is a high shorting ratio. By integrating data on the number of open contracts and leverage ratio data, CoinGlass estimates that if the price breaks through this point, short positions with a nominal value of US$209.26 million will face liquidation. The act of shorterers being forced to close their positions and buy may drive prices to rise rapidly, causing the opposite effect of amplifying volatility.

In the macro context, Bitcoin has fluctuated within a range over the past few weeks, and investors continue to weigh the impact of interest rate expectations and changes in regulatory policies. For traders, highly leveraged positions can be liquidated within seconds, and this sharp fluctuation affects not only Bitcoin, but also other cryptocurrencies. Long-term investors need to pay attention to market sentiment and the intensity of speculative activity to identify market weaknesses, optimize entry and exit decisions, and properly manage risk.