A copyright quantitative trading framework is a software or algorithmic system that allows traders to develop and test trading strategies using historical and real-time data. It contains advanced statistical models, machine learning techniques and mathematical formulas to make data-driven decisions on buying and selling cryptocurrencies. The focus is on outperforming or minimizing the market using quantitative methods. Backtesting is a key feature for any QTF This involves running a trading strategy using historical copyright data to evaluate its performance before deploying it in the real market. The framework provides the ability to simulate how a strategy would have performed under previous market conditions, providing insight into potential profitability, drawdowns, and risk exposure.