CoinAnk's liquidation map data shows that if BTC breaks through $110,000, the cumulative short liquidation intensity of mainstream CEX will reach $4 billion. Conversely, if Bitcoin falls below $95,000, the cumulative long liquidation intensity of mainstream CEX will reach $9 billion.

Currently, there is significant long-short game risk near the key price threshold of 65,796,079,223. The liquidation data reflects the correlation between the concentrated distribution of market leverage positions and liquidity risk.

Specifically, when Bitcoin breaks through the key resistance level (such as $110,000), a large number of short stop-loss orders are triggered, creating a 'short squeeze' effect. This process may trigger a wave of liquidity, accelerating price upward and attracting chasing funds, forming a positive feedback loop. Conversely, if the price falls below the support level (such as $95,000), the concentrated liquidation of long leveraged positions will lead to increased selling pressure, further lowering the price, and even triggering panic selling. It is worth noting that the 'intensity' in the liquidation map is not an absolute value, but reflects the relative importance of different price level liquidation clusters on the market. Higher liquidation bars mean that the market reacts more violently when the price reaches that area.

Current data highlights two risk characteristics: first, both long and short positions are highly concentrated near key thresholds, leading to extreme divergence in market sentiment; second, the liquidation intensity of long positions is far higher than that of short positions, indicating that if prices decline, the chain reaction the market may experience could be more severe. This pattern warns investors to be cautious of liquidity exhaustion risk in high volatility scenarios and to pay attention to the market sentiment transmission path after price breaks through thresholds. For trading strategies, it is necessary to dynamically assess the potential price inertia triggered by liquidation based on position distribution while strengthening risk management to cope with extreme volatility.