Overfitting
Overfitting is when a strategy is tuned so tightly to past data that it captures noise and coincidences instead of a real pattern. Such a strategy looks excellent on the data it was built from and then falls apart on new data. The more parameters you add and the more you tweak to perfect the history, the higher the risk.