Simple Trading Strategies: The Power of Simplicity in a Strategy For Maximizing Profits Explained

The mantra for successful trading is to keep it simple and easy, this is the backbone of any trading strategy.

In this article, we look at some simple trading strategies and why they normally outsmart their complex counterparts.

Why Simple Trading Strategies Prevail

Let’s look at some arguments for why simple trading strategies are better than complex ones:

Fewer Variables, Greater Success

Simple trading strategies with just a handful of variables or parameters should consistently outperform their complex counterparts.

Complexity often leads to increased chances of errors and curve fitting. The key is to create multiple simple strategies that complement each other, adhering to the principle that less is more in the world of trading.

The more variables you have, the more likely you are curve fitting the dataset. And if you curve fit, the chances are low it will help up in the future. Please read our article about why street smarts beat book smarts in trading.

Street Smarts Trump Book Smarts

In the context of trading, street smarts take precedence over book smarts. Building and implementing simple automated trading strategies and edges form the foundation of successful trading. The emphasis is on a few variables, ensuring that the strategies remain robust and adaptable.

The fewer variables you have, the more adaptable it is to changes in the markets. 

List of Simple Trading Strategies

The Power of Simplicity

Experience Trumps Complexity

Contrary to common belief, trading success is not about the complexity of strategies.

Instead, it’s about generating and testing simple ideas. Experience plays a crucial role in this process. Seasoned traders understand that solving complex market problems requires simplicity, not intricate formulas or exceptional coding skills.

Building trading strategies involves some element of curve fitting, and that is why you need some experience. Backtesting is very much a trial-and-error task where you build experience. This is a long-term process – we are talking many years. Rome was not built in a year, and this applies very much to trading. 

Overcoming Bias and Building Strengths

Experienced traders