Why I Quit Algorithmic Trading to Do Web Startups# Stock
b*e
1 楼
I spent the better part of six years, from roughly 1999 to 2004 and again in
2008, pursuing the chimeric fortunes of automated / algorithmic trading and
while I never actually reached the promised land of a wildly successful
trading system, along the way I did learn a lot about myself, the world, and
how to write robust, highly perfomant code. The journey itself deserves its
own post, or possibly several, as it was quite a strange adventure, but to
get this subject kickstarted, I'll just begin with why I ultimately moved on
to the web and startups.
1. 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.
2. Every time I teamed up with a trader in an automated 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.
3. 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 you had all the right pieces in place,
the trick is just figuring out what those pieces might be.
4. 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. On the other hand, if you work on
a web / mobile project and blog / tweet / podcast about the whole
experience (which everyone knows you should do), the side effect is that you
'll have built a public reputation that can later lead to all kinds of
unexpected opportunities. This is what I refer to as increasing your luck
surface area.
5. 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 financially, 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.
6. Trading is extremely stressful even if it's the machine itself that's
doing the trading. In fact, I read a scientific study a while back that
found that a losing 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 true), but 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.
7. (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
about 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 all 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).
8. 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.
Disclaimer: 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. :)
Addendum: 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.
2008, pursuing the chimeric fortunes of automated / algorithmic trading and
while I never actually reached the promised land of a wildly successful
trading system, along the way I did learn a lot about myself, the world, and
how to write robust, highly perfomant code. The journey itself deserves its
own post, or possibly several, as it was quite a strange adventure, but to
get this subject kickstarted, I'll just begin with why I ultimately moved on
to the web and startups.
1. 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.
2. Every time I teamed up with a trader in an automated 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.
3. 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 you had all the right pieces in place,
the trick is just figuring out what those pieces might be.
4. 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. On the other hand, if you work on
a web / mobile project and blog / tweet / podcast about the whole
experience (which everyone knows you should do), the side effect is that you
'll have built a public reputation that can later lead to all kinds of
unexpected opportunities. This is what I refer to as increasing your luck
surface area.
5. 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 financially, 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.
6. Trading is extremely stressful even if it's the machine itself that's
doing the trading. In fact, I read a scientific study a while back that
found that a losing 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 true), but 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.
7. (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
about 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 all 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).
8. 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.
Disclaimer: 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. :)
Addendum: 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.
