( Part 1, Part 2)
In part two, we looked at stock market inefficiencies and how the Shiller PE allows us to spot them. Now that we know there’s inefficiency, the question becomes how to grab some of that cash for ourselves. In other words, we need to figure out how to be a contrarian and profit from the hordes of people consistently mis-pricing the S&P.
The only problem here is that actually taking a contrary position, in the right way, at the right time, is not easy. Everyone thinks they’re a contrarian, but by definition only a few people actually are. It’s not immediately obvious how best to go about it, so I’m going to suggest some options, look at their pros and cons, and then finally settle on one of the components of our speculative portfolio. Continue reading
If we’re going to achieve the relatively dramatic speculative goals laid out in part 1 of this series, it’s going to be essential to find financial instruments which are incorrectly priced and for which we can thus predict future price movement. But before we can do that, we need a solid understanding of the source of those pricing mistakes and how to detect them.
Thankfully, this is not a place where we have to re-invent the wheel. Continue reading
If you’re a long term reader of this blog, you may be aware that I’m anti-investment. It’s not so much that I’m opposed to the concept, but I do not believe any of the typical investments in the first world (roughly: stocks, investment grade bonds and real estate) are likely to fare well over the next decade or three. If you haven’t read the linked article above, I suggest you do so – the rest of what I’m going to say here won’t make much sense if you haven’t. Similarly, you need to understand how I use the terms “investing” and “speculating”, since there is some diversity in how they’re used and we need to be on the same page.
Now, I’m well aware that the majority of people reading this blog do not share my negative opinion on investment or have never really considered the subject. That’s OK. I’m not necessarily trying to convince you. I just want to expose you to a different way of thinking about your long term financial security – one that is not dependent on the end-game performance of any financial instrument or macroeconomic factor. Continue reading
“I am not superstitious, but I avoid situations in which I continually lose.” -Barry Greenstein, Ace on the River
I want to get a few terms defined that I’m going to use in subsequent posts. Specifically, I want to talk about the way predictive methods and markets interact. My experience is that there are three basic classes of interactions:
I’ve been seeing the buzzword “big data” cropping up a lot lately. As best I can tell, in business-droid speak it refers to any very large collection of non-uniform or hard to work with data. For example, all the videos on YouTube. The large part should be obvious. The hard to work with part stems with the fact that you can’t really extract any value from the videos without doing something difficult (or at least time consuming) – watching them. There’s lots of big data out there – census data, social media, credit card data, military intelligence, etc.
While I’m always loath to jump on trendy business bandwagons, I think this one is bringing to the public an idea long overdue, and which I strongly believe in:
Given a choice between having better analysis or more data, 99% of the time you’d be way better off having more data.
Every once in a while I get the urge to write about economic issues that have nothing to do with trading. There’s been a lot of online discussion recently about the value and cost of college. My personal take on this is that college is very valuable if you choose an institution and major which teaches something you want/need to know and then put in a reasonable level of work. Without at least my undergraduate computer science degree, I’d be much worse off in terms of both my engineering career and my trading. That said, I feel the cost of college has spiraled out of control at many institutions. There are lots of reasons for this, but I believe reason #1 is that would-be students and their parents are horrible shoppers. They have no idea what various college services ought to cost, so they have no idea what they ought to be paying. All they know is vaguely what they want to buy. This is analogous showing up at the car dealership knowing you “want something nice” but having no idea what any of the cars ought to cost, and being determined to buy something no matter what. It’s not hard to see how such an auto shopper would get totally screwed.
I figured I’d do my little part to rectify this problem. Continue reading
Here’s another little short piece of advice that can save you some pain: Don’t use market orders. Instead use a limit order across the bid-ask gap. Under normal conditions you will get exactly the same result, but in abnormal circumstances you can avoid big trouble. Continue reading
I’ve been on a bit of a economics kick lately, but it’s time to get back to the real purpose of this blog, which is teaching profitable trading. A big part of that is passing on “lessons learned” – mistakes which cost me money and which you hopefully can avoid thanks to me highlighting them. One of those mistakes resulted from what I’ve termed “phasing”. Continue reading
I used the terms risk-on and risk-off in a previous post, and someone was nice enough to comment that they had no idea what I was talking about. That’s always the downside of using trader jargon, but it’s pretty hard to talk about trading without it so the best alternative is simply for people to point out when I’m being unclear.
Risk-on and risk-off are really a way of describing very broad, medium term market movements. Continue reading
Many of my posts are marathon length, but this one will be short and to the point. I want to teach you a useful heuristic about risk. The issue is, for any given trade you put on, how much risk should you be willing to take. The risk you take on a given position is related to two things: the size of the position you take (in shares, contracts, etc.) and the amount you’re willing to let the position move against you before exiting via a stop order. Generally the amount you’ll let the position move against you is determined by your trading strategy, so position size is the variable you want to adjust to keep your risk under control. The rule of thumb has three parts: Continue reading