Performance Evaluation of a Rule-Based Algorithmic Trading Framework: Evidence From 8,772 Live Cryptocurrency Bitcoin Trades

Research on algorithmic trading has generally continued to rely on historical testing (backtesting), which often involves biases arising from unrealistic execution assumptions, such as idealized order fills and negligible slippage, and may fail to accurately reflect actual market conditions. Meanwhile, studies based on live trading with real capital remain limited, particularly those evaluating…