It’s an age old question in the markets… Is market price action random? Are prices just as likely to trade up as down next? If Stock A trades at $20 is it more likely to trade at $20.01 or $19.99 next. More importantly, what’s the next price after that? $20.02 or $19.98? Those who adhere to the random nature of market price action would say no price is more likely than any other.
The Random Theory is a pillar of traditional Wall Street. And arguably has its roots in a bit of misinterpretation of data.
Burton G. Malkiel, an economics professor at Princeton University and writer of A Random Walk Down Wall Street, performed a test where his students were given a hypothetical stock that was initially worth fifty dollars. The closing stock price for each day was determined by a coin flip. If the result was heads, the price would close a half point higher, but if the result was tails, it would close a half point lower. Thus, each time, the price had a fifty-fifty chance of closing higher or lower than the previous day. Cycles or trends were determined from the tests. Malkiel then took the results in a chart and graph form to a chartist, a person who “seeks to predict future movements by seeking to interpret past patterns on the assumption that ‘history tends to repeat itself’”. The chartist told Malkiel that they needed to immediately buy the stock. Since the coin flips were random, the fictitious stock had no overall trend. Malkiel argued that this indicates that the market and stocks could be just as random as flipping a coin.
–Investopedia, Random Walk Hypothesis
And from this as much as anything sprang the basis of an entirely false narrative… that stock price action is random.
At the risk of contradicting an esteemed academic with nary a bit of trading experience mind you, consider… just because the outcome of each discrete coin flip is random doesn’t mean the aggregate results are random. It’s a bit like the molecules swirling around in a hurricane… the movement of each molecule is random… but there is definitely trend (direction) in a storm’s movement.
The idea behind this thesis is captured in an area called Chaos Theory.
…a branch of mathematics focused on the behavior of dynamical systems that are highly sensitive to initial conditions. ‘Chaos’ is an interdisciplinary theory stating that within the apparent randomness of chaotic complex systems, there are underlying patterns, constant feedback loops, repetition, self-similarity, fractals, self-organization… [emphasis mine]
–Investopedia, Chaos Theory
The Double Rod Pendulum illustrates Chaos Theory. Starting the pendulum from a slightly different initial condition would result in a completely different trajectory. The double rod pendulum is one of the simplest dynamical systems that has chaotic solutions.
Trends “hide” inside chaos like this all the time. Think of the concept of inertia. If a stock is trading higher, it is most likely to continue trading higher… even if that chance is small, it still exists. It’s called price persistence and it was discussed in the context of its use as an indicator by Gordon Gustafson in a January 2002 Stocks & Commodities Magazine article. Emphasis mine.
Price persistency is the number of days that a market continues to close either up or down. It’s another term for a market run. As an indicator, price persistency is a measure of a very short-term trend based only on the history of the market’s movement, unfiltered by any complex calculation; all it involves is counting.
To be effective, any indicator must have at least a fairly consistent correlation with whatever market you’re going to trade. The advantage of price persistency is in its simplicity. The market is currently in a run or it isn’t. It’s either been down three days in a row or it hasn’t. Of course, this is an oversimplification that ignores the magnitude of the individual changes, which can be important. But for our purposes here — to form a trading system based on runs — let’s assume the magnitude of the changes doesn’t matter.
The usefulness of price persistency is based on the theory of runs. It is the idea that, given the market has moved in a particular direction for x days, the likelihood it will either continue to do so — or not — can be estimated and used in a profitable trading system.
–Gordon Gustafson, January 2002 Stocks & Commodities Magazine
Here is a look at how persistency might work. The chart reflects a security that starts at $0 and changes 100. Each change is + or – 1 and there’s a 50/50 chance of each. Looking at the chart shows that even in action that is, by definition random, there are runs.
This information can be used to create very simple, very profitable trading approaches. And we have.
Let’s have a look at some charts shall we?
Stock Prices Are Random Right?
So hopefully you’re clear now… Over any given timeframe, stock prices are NOT random.
The inertia depicted in the chart above (price moved from the bottom left toward the top right of the chart) alone is evidence of that, but feel free to look at any other extended timeframe you like… the result will likely be the same… prices tend to trend up (generally) or down over time despite assertions to the contrary by many “market professionals.”
The sticking point for most people (and constant argument by anti market timers) is the often maddening resistance of stock prices to prediction with any degree of certainty or consistency.
It’s the foundation of that supposed market truism, “you can’t time the market.” That the market is “random.”
We suggest a slight modification to that principle. Instead of you cant time the market at all, how about we change that to “you can’t time the market… perfectly.” Further let’s add an extension… “you can’t time the market perfectly… but then you don’t need to time it perfectly to make a fortune.”
Wall Street’s Best
I know, I know… Wall Street’s best portfolio managers can’t manage to make double digit annual returns consistently (a fact of which they seldom fail to remind you… along with telling you that no one else can make double digit annual returns consistently either), so why should you think you can do any better? They even go so far as to say it’s impossible. And if anyone tells you different it’s automatically a scam.
Now since you don’t have their expertise, information, size or market proximity advantages you’re inclined to believe them right? After all, they ARE the professionals right?
It’s true, you likely don’t have any of those things.
But then again, if theirs were such significant advantages, wouldn’t you think traditional portfolio managers far more capable of producing outsize returns?
Does it make sense to you that the average long term buy and holder spends 74% of their time in the market getting back to even? Well that’s what the well respected Ned Davis of Ned Davis Research found.
“It’s a little-known but startling fact: The average buy-and-hold stock market investor spends 74% of his or her time recovering from cyclical downturns in the market (from 1900–May 2015).” (Ned Davis Research)
That’s according to well-respected Ned Davis Research, Inc., in Venice, Florida. It raises a big question: How is it possible that investors spend three quarters of their time just getting back to the starting line?
The answer is explained by the unforgiving mathematics of loss: When investments lose ground, they must make up more ground, percentage-wise, just to get back to even.
Say you invest $10,000 and your account takes a 10% loss over six months. You’re down to a $9,000 balance. Because of your reduced capital base, you will have to earn 11% to recoup your losses. The steeper the losses, the higher the hurdle becomes for breaking even. For example: Recovering a loss of 30% requires a 42.9% gain; a 50% loss requires a 100% gain. To recover from a loss of 75%, a 300% gain is required.
Getting back to even can eat up precious time. Take that 10% loss over six months. Earning a steady 4% annually after that, you will still need two and three-quarter years just to get back to where you started. That time would be much better spent accumulating new money. Remember, the idea is to grow your money, not just regain lost capital.
— Steve Blumenthal, The Merciless Math of Loss [All emphasis ours]
So What Are Your Advantages?
On this site, we write about the so called advantages of the “professionals” and why they’re not nearly as significant as they would have you believe. We also showcase, emphasize and write more about YOUR advantages and how you’ve probably squandered (and likely continue to squander) them.
For example, despite what you’ve been taught, enormous size is not an advantage. In fact, it’s the exact opposite. As a result, what would appear to be a disadvantage to you [small size] is actually a tremendous advantage.
These are the kinds of things we discuss and explain here. We do this for registered members of this site. Don’t worry, registration and membership at the basic level are free. We also don’t bombard you with content, offers (or own or affiliate), or any thing else for that matter. All you have to do is register.
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Is Market Price Action Random? Let’s Go To The Charts
Have a look at the charts below. They’re the exact same as that above except they’re broken into three distinct time ranges.
Zooming in to multiple 6 month periods brings both trend and pivot (turning) points into sharper detail.
Can you find 1 or more of the intermediate trends (trends lasting days to weeks) on each chart… all of which occurred within the context of the clear major uptrend between January 2013 and now (May 2014)?
January 2013 thru June 2013
July 2013 thru January 2014
January 2014 thru May 2014
Did you find a few trends?
What’s really gonna freak you out is that the exact same thing happens on virtually every other timeframe… 4 Hour… 2 Hour… 5 Minute. The only difference is a matter of degree.
Do you think you could find a few profitable trades in that action?
If your answer is yes, you’re right. Stay tuned and we’ll show you some like that.
If your answer is no, you’re wrong, so stay tuned and we’ll show you some like that.
Until next time, may your trends be long and all of your losses small.
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