Python and MACD Trading Strategy: Backtest, Rules, Code, Setup, Performance

Python and MACD Trading Strategy: Backtest, Rules, Code, Setup, Performance

Python is one of the most popular programming languages in finance. It is widely used for data analysis, machine learning and, of course, backtesting trading strategies. Today we will show you how to calculate and backtest a MACD, Moving Average Convergence/Divergence (MACD), trading strategy using Python. As you will see, it doesn’t take a computer…

How To Do A Monte Carlo Simulation Using Python – (Example, Code, Setup, Backtest)

How To Do A Monte Carlo Simulation Using Python – (Example, Code, Setup, Backtest)

Quant strategists employ different tools and systems in their algorithms to improve performance and reduce risk. One is the Monte Carlo simulation, which is quite powerful regarding option pricing or risk management problems.  A Monte Carlo simulation represents the likelihood of various outcomes in a process that is challenging to predict due to the involvement…

Python Trading Strategy | Backtesting, Code, List, Examples

The Python code language allows for backtesting and executing Python Trading Strategy Algorithms. Python is an open-source, high-level yet easy-to-learn computer programming language that is used in a wide variety of applications, including algorithmic trading and data analysis. With all of its packages being free for commercial use, Python has become the preferred programming language…