Basics of Algorithmic Trading: Concepts and Examples

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Sounds like you'd have automated and algorithmic trading experience to be a successful algorithmic trader. The journey itself deserves its own post, or possibly several, as automated and algorithmic trading was quite a strange adventure, automated and algorithmic trading to get this subject kickstarted, I'll just begin with why I ultimately moved on to the web and startups.

An automated trading operation takes too much trading and operational capital not to mention extremely low clearing rates, which are extremely hard to negotiate to easily bootstrap on your own. Not that it's impossible, but it's definitely much less resource-intensive to attempt to make money from building web or mobile apps.

Every time I teamed up with a trader in an automated and algorithmic trading trading venture, their trading strategies and ideas ended up not working despite the fact that they had been previously successful often remarkably successful as either floor or screen traders. This usually meant that I had spent a year or more of my time coding up a state-of-the-art trading platform that amounted to nothing. I'm not entirely convinced that it's all that possible to beat the market consistently, much less using algorithms, much less using self-learning algorithms AKA data mining.

From my perspective, buiding something that some number of people would be willing to pay for seems to be a much more tractable problem to solve. That said, I do think it "might" be possible to beat the market algorithmically if automated and algorithmic trading had all the right pieces in place, the trick is just figuring out what those pieces might be. If you spend years working on an automated trading project usually in total secrecy and it doesn't work out in the end, it can be hard to leverage that expertise for anything else.

This is what I refer to as increasing your luck surface area. By building web and mobile applications, you're at least "attempting" to create value for the world and not just yourself. This may seem like a minor point, but if your trading venture doesn't succeed automated and algorithmic trading, you can't even fall back to the - "well, at least I made a lot of people happy, more productive, etc.

Plus, the thrill of having a large number of people use your software is something you'll never experience within the confines of an automated trading operation. Trading is extremely stressful even if it's automated and algorithmic trading machine itself that's doing the trading. In fact, I read a automated and algorithmic trading study a while back that found that a automated and algorithmic trading trade is twice as psychologically draining as the equivalent winning trade is psychologically reinforcing, which basically means that you're generally going to be operating at a psychological deficit at the end of every work day.

I know a lot of startup founders like to talk about how hard startups are and about the incredible roller-coaster ride that is the startup life which is truebut I got news for you, it doesn't compare to the grinding, gut-wrenching stress of trading, and frankly that's no way to live. Please see addendum I've done a lot of the trading thing and while it's a fun and addictive game for sure, I found that traders are generally not my kind of people.

The reason for this I think is that for most traders it's pretty much all about the money, and whenever anything is all or mostly automated and algorithmic trading the money, it ends up having no soul. This reality turns out to be kind of depressing if you reflect on it for too long and I guess that's probably why most traders aren't automated and algorithmic trading that self-reflective.

That said, I'm not so sure this applies to algorithmic traders because from the few I've met they tend to love the technical challenge as much or more that the pursuit of fortune which is not unlike technical startup founders. The algorithmic trading world is so secretive that you rarely get to meet anyone else doing it, much less have the opportunity to discuss techniques, algorithms or experiences.

As a result, there's little to no community to engage with, and in case you haven't already discovered this truth, being part of a community is a big part of what makes life fun.

If I ever make a personal fortune from web startups, there's still a part of me that would like to give algorithmic trading one last try. There, I said it. I've decided that what I wrote in point 7 about "traders not being my kind of people" and "not being all that self-reflective", are both untrue statements. Yes, I had a bad experience with a few traders over the years, but to make a generalization like that was just lazy and unfair.

To any traders out there who might be reading this, please accept my apologies.

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Students also learn the basics of scripting and how it can be used to create interaction. The course stresses development strategies for managing the rapidly changing information of corporations and organizations for just-in-time distribution, using authoring programs to create interactive multimedia products that utilize database management systems, file systems, and XML to provide a method for visualizing and manipulating that data.

Significant time is spent on intermediate to advanced programming and scripting. Activities and experiences will explore related topics such as project planning and management, user expectations, interpersonal communications skill and quality management.