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Let the machines work for you

In the previous article, I described the tool that scans through the commodities markets and finds interesting trading opportunities based on seasonality and contango. I also told beginners in quantitative trading not to get discouraged by the complexity of my description. I’ll describe my own beginnings in future parts of this series because I also started with simple methods like everybody else.

On the contrary, today I’m going to explain to you why it’s a great advantage to learn more complex methods. The program I described last time wasn’t simple. This is proved so by the fact that the calculation had taken several minutes of computer time. On the other hand, I now work with models where the calculations take tens of hours. Such a program is very complex and processes huge amounts of price and fundamental data. Do complex things discourage you? It should definitely not. The more complicated calculations the program can handle, the more work it can do for you. Of course, development of such a complex program takes months and is based on years of study and experience. But the invested time is really worth it! You can then create a tool which could do hard work for you. It can save you hours spent by analyzing the market and searching for trading opportunities. Moreover, as I wrote last time, not only does it save you time, but using the computer calculation can let you do things that are not possible manually.

Many people think that the ability to automate calculations can miraculously bring them success. This is certainly not the case. You’ll have to put a large amount of your own ideas and work. Developing an extensive functional program is like building a house – you start with an architecture, continue with the building, and finally repair what went wrong. But once you’re done, you can repeatedly execute the program as many times as you want. Work that you previously had to do yourself is then done by a machine. That brings me back to the title of this article. Thanks to your own analytics, you can achieve what your workday would have in nearly 24 hours. I run most of my scripts and programs overnight due to huge computational cost. I actually work this way even when I sleep.

The quantitative approach is becoming popular in trading and investing. It’s clear that this trend will continue. Like people today who do laundry in a washing machine and wash dishes in a dishwasher, they will increasingly automate investment research and have it done by the computer. Those who adapt to it and use it to their own advantage will gain a significant advantage over other traders and investors in the future.

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Pavel Hála
Pavel Hála
Pavel is the founder and CEO of SpreadCharts.