If you ever have wanted to have a computer that takes care of the trade execution for you, you have probably looked into algorithmic trading. Being used by many big trading firms, as well as retail traders, algorithmic trading is becoming the choice of more and more traders, as the benefits start to dawn on them. Still, with the Internet being awash with trading bots that seem to make more harm than good, it certainly is relevant to ask if algorithmic trading really is profitable! So, is it?
Yes! Algorithmic trading is profitable, provided that you get a couple of things right. These things include proper backtesting and validation methods, as well as correct risk management techniques.
Unfortunately, many never get this completely right, and therefore end up losing money. Due to this, you may have seen many make the claim that algorithmic trading doesn’t work, which in reality only has got to do with them using the wrong methods.
With that said, in this article you’ll discover the following things:
- How algorithmic trading differs from other trading styles
- The top 5 reasons why we believe that algo trading can be even MORE profitable than discretionary trading
- How you can go about to learn algo trading THE RIGHT WAY
So let’s now start off by looking at what algorithmic trading really is. Many people have got this wrong from the beginning…
Table of contents:
Is Algorithmic Trading Really a Trading Style?
When we typically speak of different trading styles, we tend to divide them into different categories. One common categorization is:
- swing trading
- Day trading
- Position trading
- Algorithmic trading
Now, the three first on the list refer to trading styles that are https://therobusttrader.com/day-trading-all-you-need-to-know/distinctly different from one another. The perhaps biggest difference is the length of the holding period, which differs greatly between the different trading styles. For instance, swing traders hold their positions from a few days up to a few weeks, while day traders close all positions by the end of the trading day. In addition, they usually rely on different core logics for the strategies themselves.
Now, algorithmic trading is not a trading style on its own, in the sense that the holding period and trading strategies differ from those of swing trading, day trading, or position trading. Instead, algorithmic trading is the way in which we construct and execute our trading strategies.
Related reading: Can You Make Money With Automated Trading
See AlsoBasics of Algorithmic Trading: Concepts and ExamplesWorld's Best Algo Trader | Story of Jim Simons | The Man Who Solved the Markets - Algo Trading in India |A case study on developing customized Algo Trading SoftwareWhat Percentage of Trading is Algorithmic? | Share IndiaRelated reading: Is Quantitative Trading Profitable?
With this in mind, algorithmic trading isn’t confined to one single trading style. We ourselves trade all sorts of strategies, ranging from day trading to position trading strategies, all at the same time!
This is a major benefit, since you may combine trading strategies for better returns and less risk. Is algo trading better?
With this said, let’s look closer at some reasons why algorithmic trading indeed tends to be more profitable than discretionary trading!
5 Reasons Why Algorithmic Trading Can Be More Profitable Than Discretionary Trading
Here follow 5 reasons why we believe algo trading not only is more profitable than discretionary trading but also is the better choice overall!
1.Everything is backtested!
As an algo trader, you don’t guess anymore. Instead, you rely on historical backtests to evaluate the performance of trading strategies, to maximize the chances that they will continue to work well into the future.
Below you see a backtest report for one of the trading strategies we trade at the moment.
This is a major benefit when compared to the average discretionary trader, who usually relies on guesses about how certain patterns should perform. With this in mind, it doesn’t come as a surprise that most discretionary traders lose money…
2. All strategies are executed by a computer
Trading several trading styles at the same time would have been nearly impossible, hadn’t it been for the fact that the computer takes care of it for you! And in addition to being a convenient solution, it comes with quite some heavy advantages.
The perhaps biggest advantage is the fact that you avoid many of the mistakes that are so common among discretionary traders. For instance, lack of focus resulting in erroneous orders or other mistakes won’t be that big of an issue anymore.
Of course, there will be hiccups, and there will be instances when the computer still manages to mess things up. However, with some monitoring, this will just be a minor concern. Especially considering that it generally runs very reliably.
To provide an example, I’ve had my trading strategies running for two weeks now without a single issue, although quite a lot of orders have been placed!
3. You’re not as emotionally affected
The psychological and emotional part of trading is one of the most challenging aspects of any trading style. It’s not uncommon to see discretionary traders struggle with placing the next trade and adhere to their set rules, as they run into a drawdown which still is within the expected levels.
Since algorithmic traders aren’t involved in the execution of their trading strategies, this issue is much less common to have.
Still, it’s worth mentioning that algorithmic trading by no means relieves you of all emotional pressures and hardships. It just makes it a lot easier!
4. You can diversify across strategies, markets, and timeframes
Again, with the computer taking care of the orders for you, you can expand your trading into more markets, timeframes, and strategies, allowing for superior risk management and profit potential.
For instance, you may have algo strategies trading gold, crude oil, market indexes, or stocks, all at the same time. Then if one or two of these markets behave strangely at one time, it’s very likely that another will make up for those losses.
We ourselves may trade as many as 100 strategies at the same time, meaning that each strategy only risks a small portion of the capital. At least to us, this feels much safer!
5. The computer never sleeps
Our algo trading strategies run as long as the markets are open. This is a great advantage, particularly for some markets like gold, where there are multiple sessions around the world.
You may even have strategies that trade varying session hours in the same market, to take advantage of how the market behavior changes throughout the session. This is especially true for global commodities (again, like gold) that may behave very differently depending on what part of the world currently is trading it actively.
Related reading: How Good Is Algo Trading?
How to Get Started in Algorithmic Trading
By now we hope that you have understood what makes algorithmic trading so special, and why it qualifies as our favorite trading form.
Perhaps you even want to know how you could go about to start algo trading yourself?
We understand that it may seem daunting to get started, so we have broken it down into three small steps below.
1. Read our article about algorithmic trading
Even though we might be a little biased, we think that our guide to algorithmic trading is the most complete and extensive resource on the internet. It contains 10000 words on everything from good algo trading platforms, to backtesting and validation.
2. Start Testing!
The most important thing in Algo trading is to just get started coding in an easy and versatile coding language. That way you’ll be able to build your own trading strategies and will improve as you discover what tends to work, and what doesn’t.
If you don’t want to spend months or even years refining your process to find something that works, we recommend that you take a trading course. It might seem like a big cost, but most of the time it pays off fairly quickly. You simply get going much quicker, and don’t waste time on methods that won’t take you anywhere!
3. Work hard
Trading is hard! To succeed you not only need a working and profitable framework, but also the endurance and perseverance to spend many hours finding and developing trading strategies.
However, if you do work hard enough, there is a good chance that it will pay off quite well!
Ending Words
Algorithmic trading isn’t just profitable, but also increases your chances of becoming a profitable trader. This has to do with the fact that all strategies you trade have been validated on historical data, as well as with the superior order execution that’s offered by a trading computer.
For somebody who wants to combine trading with a full-time job, algorithmic trading is a really good option. You may develop trading strategies in your spare time, which are then executed by a computer while you focus on your day job.
If you like to learn algorithmic trading from traders who trade full time themselves, we highly recommend that you have a look at our trading courses. As a student, you not only get to learn the proven method we use ourselves, but also get a number of trading strategies to kick start your trading!
Here you can read more about algotrading in our archives.
FAQ
How Does Algorithmic Trading Address Emotional Challenges in Trading?
Algorithmic trading reduces emotional challenges by removing traders from the execution process. Since traders are not directly involved, emotional biases and struggles with adherence to set rules are minimized. While not entirely eliminating emotions, algorithmic trading makes it significantly easier for traders to stick to their strategies.
How Does Backtesting Contribute to Algorithmic Trading Success?
Backtesting evaluates the historical performance of trading strategies. Algorithmic traders rely on backtests to assess the effectiveness of strategies, ensuring they are based on quantifiable market behavior. It replaces guesswork with data-driven insights, increasing the likelihood of strategies continuing to perform well in the future.
Why is Diversification Important in Algorithmic Trading?
Diversification in algorithmic trading involves spreading investments across various strategies, markets, and timeframes. This reduces risk and enhances profit potential. Traders can trade multiple strategies simultaneously, ensuring that if one strategy or market performs poorly, others may compensate for the losses.
