Crosser uses AI technology to analyze market trends, price pressure points, support levels, and other data, as well as comparative analysis of historical data, to optimize users' quantitative trading strategies and maximize profits. Roche Extreme strategy is one of Crosser's unique strategies. Compared to traditional strategies, it has stronger risk resistance and higher performance. The strategy can be applied to contract/spot markets, and it can make precise trading decisions for different market conditions and supports stopping the strategy after taking profits or losses.

In practical use, the Roche Extreme strategy of Crosser has the following features:

Accurate buy and sell points: Based on advanced AI algorithms, the Roche Extreme strategy can identify trading signals in the market and accurately determine buy and sell points, effectively avoiding the risk of blind trading.

Strict risk control: Crosser's Roche Extreme strategy adopts a strict risk control model, reducing risk and increasing profits through the setting of take-profit and stop-loss.

Diversified trading modes: The Roche Extreme strategy supports various trading modes, including false breakthrough opening positions, increasing the profit interval with additional positions, etc. It can effectively reduce losses when dealing with different market changes.

Strong performance: In historical backtesting data, the Roche Extreme strategy of Crosser has a significantly better performance than traditional strategies, with higher returns and more stable performance.

Overall, Crosser's Roche Extreme strategy is an innovative quantitative trading strategy that can help users achieve stable profits in changing markets, with better risk resistance and higher performance.