Crypto AlgoTrading高级技巧：自定义策略开发与回测优化全流程

Recent updates in algorithmic trading frameworks focus on advanced risk management and performance optimization. Developers can now implement dynamic position sizing and max drawdown controls directly in Python. For large-scale backtesting, enabling multiprocessing via specific parameters significantly reduces computation time. Caching data structures further minimizes overhead during iterative testing. These tools a.