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…

How I Made A Profitable TEMA Trading Strategy In Python (Code, Rules, Backtest)

Triple Exponential Moving Average (TEMA) This indicator is used to identify the trend, retracement, and potential support and resistance. After the development of the Double Exponential Moving Average (DEMA), Patrik Mulloy enhanced the indicator and developed the TEMA. The interpretation…

Python Bollinger Band Trading Strategy: Backtest, Rules, Code, Setup, Performance

Python has become a popular language among traders and financial analysts due to its versatility and extensive data analysis and visualization libraries. One powerful application of Python in the trading world is backtesting strategies, allowing traders to evaluate the performance…

How To Make An Average True Range (ATR) Trading Strategy In Python (Backtest, Performance, Setup, and Code)

Traders use a wide range of indicators when trading. Among the most popular are the momentum and mean-reversion indicators, but there also exist indicators that measure volatility, such as the average true range. Let’s make an average true range (ATR) trading…

How To Build A Doji Candlestick Trading Strategy Using Python (Code, Setup, Backtest, Performance)

Candlestick patterns have been a fundamental part of technical analysis in the world of trading for many years. Among the multitude of candlestick patterns, the Doji is one of the most widely recognized. We make a doji candlestick trading strategy. A…

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…

How To Measure Skewness Of A Trading Strategy Using Python – (Code, Setup, Example Analysis)

Many metrics and statistics are used to quantify a trading strategy’s performance. CAGR, standard deviation, Sharpe Ratio, and maximum drawdown are among the most popular indicators. However, today, we will look at one that is not used very often: How…