Mechanical Investing: A Guide to Mechanical Trading Strategies

Making investment decisions with mechanical investing involves following a systematic, rules-based approach. The objective of this approach is to remove the subjective biases and emotions that can skew human judgment, instead relying on quantitative analysis and predetermined criteria to guide investment decisions.

The rise of algorithmic trading and powerful computing tools has made mechanical investing increasingly popular in recent years.

 Throughout this article, we will examine what is mechanical trading, what are the principles of mechanical investing, the advantages and disadvantages of this approach, and some of the most popular mechanical trading strategies.

Mechanical Investing

Principles of Mechanical Investing:

In essence, mechanical investing involves making decisions based on rules or algorithms. It is possible to use technical analysis, fundamental analysis, or a combination of both to develop these rules. The goal is to create an objective and repeatable system, removing the influence of emotions and cognitive biases from the decision-making process.


Backtesting is one of the critical principles of mechanical investing. This method analyzes historical data to determine whether a particular strategy or set of rules is effective. Investors can understand how the strategy will likely perform in the future by analyzing how it has performed in the past. Backtesting can also assist investors in fine-tuning their strategies and adapting to the outcomes.

Risk Management

Risk management is another important aspect of mechanical investing. A risk management strategy is necessary because mechanical investing is based on quantitative analysis and predetermined rules. Stop-loss orders or other means of limiting losses in the event of unfavorable market movements may be used for this.

Common Mechanical Trading Strategies:

Investors can use various mechanical investing strategies to inform their investment decisions. The most typical examples are as follows:

Trend Following:

 Using this strategy, you look for market trends and invest in assets that are going up. Moving averages, momentum indicators, and trend lines are some examples of technical indicators that can be used to implement trend following.

Mean Reversion:

On the premise that they will eventually return to their mean value, this strategy invests in assets whose prices have recently fallen. Statistics like Bollinger Bands and RSI are frequently used in mean reversion strategies to find assets that are oversold or overbought.

Breakout Trading

Investing in assets that break critical support and resistance levels is a component of this strategy. If the breakout is false and the asset falls back below the support or resistance level, breakout trading can be risky, but it can be used to make quick gains in the market.

Event-Driven Trading

Based on specific events or news releases, such as earnings reports, product launches, or mergers and acquisitions, this strategy involves investing in assets. If the investor can accurately predict how the event will affect the asset’s price, event-driven trading can be very profitable.

Algorithmic trading

Using technical analysis models like Moving Averages Crossover Systems (MACD), computer programs that automatically execute trades based on predetermined criteria are frequently used in algorithmic trading. By removing human emotions from the decision-making process, algorithmic trading reduces execution costs while simultaneously providing more accurate analysis and quicker response times than manual systems.

Do Mechanical Trading Strategies Work?

Investors and academics continue to disagree about mechanical trading strategies’ efficacy. Some studies have shown that mechanical strategy can outperform the market over the long term, while others have found mixed or inconclusive results.

The fact that the outcomes can be highly dependent on the particular strategy and the market conditions in which it is being utilized is one obstacle that must be overcome when attempting to evaluate the efficacy of mechanical trading strategies. There is no assurance that past performance will translate into future outcomes, and what works in one market environment may not work in another.

The robustness of the strategy, the quality of the data used in the analysis, and the investor’s capacity to effectively implement the strategy will all have an impact on mechanical trading strategies’ overall effectiveness.

How Can Investors Get Started With Mechanical Investing?

Before beginning mechanical investing, investors should investigate various mechanical trading strategies to choose the one that best suits their financial objectives and risk tolerance. 

They should also think about what kind of data they will need access to in order to use an automated system to make trades well.Obtaining historical stock price data or signing up for a specialized service like Bloomberg or Thomson Reuters Eikon may be necessary for this. 

Before selecting a particular trading platform, they should, lastly, investigate the various software platforms that are available for the execution of trades and ascertain the features that each platform provides.

Advantages of Mechanical Investing

Compared to other types of investing, mechanical investing has a number of advantages.

Eliminating Subjective Biases and Emotions

It eliminates the subjective biases and emotions that can cloud human investors’ judgment, which may be its most significant advantage. Mechanical investors can avoid making decisions based on hunches or gut feelings by relying on predetermined rules and quantitative analysis.

Consistency and Discipline in Investment Process

Additionally, mechanical investing enables the investment process to be more consistent and disciplined. There is less room for error or second-guessing because the rules are predetermined, and the system is founded on objective criteria. 

Investors may benefit from this by staying on course and avoiding rash or emotional decisions.

The Possibility of Automating Mechanical Investing

The possibility of automating mechanical investing is yet another advantage. Automating a lot of the steps in the investment process is now possible thanks to algorithmic trading and other technological tools. Investors can save time and effort by executing trades with greater precision and efficiency as a result.

Disadvantages of Mechanical Investing:

Mechanical investing has a few drawbacks, but it has many advantages.

Frequent changes in market conditions

 The difficulty in developing mechanical trading strategies that are both profitable and effective is the most significant obstacle. Even with the fact that backtesting can assist investors in fine-tuning their strategy.

Moreover, there is no assurance that previous performance will translate into future outcomes. What works in one market environment may not work in another because market conditions can change quickly.

Challenges in Adapting to Changing Market Conditions

It can also be challenging to account for unforeseen events or market disruptions when mechanical investing. Under normal market conditions, mechanical strategies may be effective, but they may struggle to adapt to sudden market shifts or unexpected events like geopolitical turmoil or natural disasters.

Vulnerability to Market Exploitation and Manipulation

Last but not least, mechanical investing may be susceptible to particular forms of market exploitation or manipulation. For instance, if a large number of investors are employing the same mechanical trading strategy, it may result in a self-fulfilling prophecy in which the strategy loses effectiveness as more investors enter the same trades.

Which strategy of mechanical trading is best for an investor?

An investor’s investment objectives, risk tolerance, and market conditions will all play a role in determining the best mechanical trading strategy for them. 

There are advantages and disadvantages to each mechanical trading strategy, and what works for one investor may not work for another.

A trend-following or mean reversion strategy, for instance, seeks to capitalize on longer-term market trends and patterns and may appeal more to investors seeking steady, long-term returns. 

A breakout trading or event-driven strategy, on the other hand, may appeal to investors who are willing to take on more risk due to the possibility of higher returns in a shorter amount of time.

Ultimately, the best mechanical trading strategy for an investor will depend on a variety of factors, including their investment goals, risk tolerance, and current market conditions.

 It is essential for investors to carefully evaluate their options and choose a strategy that is well-suited to their individual needs and circumstances.

Additionally, investors should also be aware of the drawbacks and dangers of mechanical trading strategies, such as the possibility of over-optimization, bias in data mining, and the impact of transaction costs. 

They should also be ready to closely monitor their strategies and make any necessary adjustments in response to shifting market conditions or unforeseen occurrences.


Mechanical investing offers a systematic and disciplined approach to investment decision-making, relying on quantitative analysis and predetermined rules rather than subjective biases and emotions. While there are certainly advantages to this approach, it has its challenges and limitations.

Mechanical trading strategies should be carefully evaluated by investors interested in using them, taking into account the particular market conditions under which they will be used. 

In addition, they ought to be ready to make any necessary adjustments to their strategies in response to shifting market conditions and unforeseen occurrences.

The robustness of the strategy, the quality of the data used, and the investor’s capacity to effectively implement the strategy will all have an impact on mechanical trading strategies’ overall effectiveness.

 Mechanical investing can be a valuable tool for investors looking to achieve their financial goals with careful planning and execution, but there is no guarantee of success as with any investment strategy.