It is evident that models and algorithms are the core of each algorithmic trading system. Designing and developing them requires an environment to test, validate and verify the performance and accuracy. These processes usually utilize historical data to learn the obvious and hidden market behavior patterns and apply them to their future decisions. These processes are called backtesting.