Based on a complete automated back-testing system, using historical real transaction data from multiple mainstream exchanges, it repeatedly tests daily market conditions and extreme conditions, and outputs more than one million test results in a single time. After a long-term firm offer + backtesting data, the trading model and underlying algorithm of the intelligent adaptive volatility strategy are continuously optimized, and the logic of opening positions, the timing of adding positions, the actual running positions, the position magnification ratio, the dynamic interval range, the number of orders, Dozens of parameter configurations such as the take-profit position are intelligently selected and combined to find the relatively optimal trading plan to avoid the high risk that the traditional grid strategy needs to bear in the unilateral situation. In addition, after each violent market situation occurs, the automatic backtesting system will immediately incorporate the new market situation into the simulated calculation range for backtesting, and timely modify the parameter configuration of the trading target in operation to continue to promote the self-optimization of the trading algorithm.

As shown in the figure, when the price drops continuously, positions are gradually opened to pull low-cost prices, and when the market rebounds, profits are made.