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Strategies · SMA trend following

SMA stands for simple moving average.

Read from the start: chapter 1 The Rule

Leveraged ETFs can lose a large part of their value in a short time.

Chapter 6 of 13

Staying the Course

The rule is simple. What is hard is keeping it for years, and one well-known reason for that has a name.

Whipsaw fatigue. A whipsaw is a switch that is reversed shortly afterwards. In sideways markets the rule switches often: sell, buy back higher shortly after, sell again. Each single switch is small; three or four in a row feel like a fault in the system.

That is where staying with it is hardest.

Against it there are two tools, the buffer and the confirmation days; both remove switches close to the line, one through distance, the other through time.

Signals per yearLong index history, derived figures only (not a product you could have bought back then). Backtest

The histogram counts the signals per calendar year across the long history, purchase and sale one each, at the window length of the standard version.

The x-axis carries the years, the y-axis the number of signals in that year. With the switcher you see how the bars per year change when the buffer grows.

The streak. In the tracker, LETF.io counts how long you have answered the due notifications in time. Answering means confirming or declining; both keep the streak, as long as it happens inside the deadline.

If your answer comes late, that is a missed window. Twice a year a rescue catches you, so that a holiday or an illness does not cost the whole streak; after that it starts again.

So the streak does not measure whether you made money, but whether you stayed with it. That is the part in your hands.

Frozen trackers. When we can no longer evaluate a version reliably, for instance because data is missing, we freeze it instead of guessing. A frozen tracker stays readable but produces no more notifications, and you get a message with the reason.

Two questions about this are in the chapter FAQ: what a missed signal means for the rule, and how to tell whether a period was long enough to judge the rule at all.

Typical Mistakes

Most problems arise not from the rule but from how it is carried out.

The most common mistake is reading the filter as loss protection. It limits participation in long declines, not in sudden shocks. Between the high and the signal you are fully invested.

The second most common is following the rule halfway. A skipped signal, a window length changed afterwards, a savings plan that keeps running while the rule has sold: after that you no longer know what you are actually testing.

The third is wanting to invent a second rule below the line. While the market is below the line, your money sits quietly; the rule asks for nothing more.

Practical mistakes, and how you notice them

Trading during the session
How you notice: you react to a price that closes on the other side of the line that evening.
Computing on the wrong series
How you notice: your signal days differ by days or weeks from the ones in your version.
Underestimating signals close to the line
How you notice: switches pile up within a few weeks and the costs eat up the difference.
Changing the length after a false signal
How you notice: the change occurs to you right after a bad experience, not before.
Reading the filter as loss protection
How you notice: you are surprised by how large the decline up to the signal turns out.
Inventing a second rule below the line
How you notice: you go looking for a rule of your own for the out-of-market state. Switching into the unleveraged index is a common variant, not a mistake.
Catching up on a missed signal
How you notice: you trade a signal from two days ago at today's price.
Treating the rule as something to automate
How you notice: your stop order triggers during the session while the rule triggers at the close.
Letting the savings plan run on
How you notice: the rule has you out of the market and you still buy every month.
Leaving costs and taxes out of a self-made backtest
How you notice: your backtest and your account statement tell different stories.

Bias catalogue

These points affect every analysis of this strategy, including the ones on this page. Overlapping windows, hindsight and the rate environment are in the chapter Backtest, because they belong where the numbers come from.
Selection effect
The widely used window lengths and buffers were selected against history. Part of their strong showing in backtests is the selection itself.
Survivorship
The products and indices that exist today are the ones that survived. Leveraged products that were closed do not appear in the series.
Execution lag
Trading at the close of the signal day is almost achievable: shortly before the close, from Europe in the evening. In the backtests of the scene one day of lag changes little. The gap grows on strong overnight gaps. The versions on this page compute with a lag of zero.
Cost and tax gap
Leave out spreads, fees and taxes and a strategy that lives on switching looks better than it is. The other direction belongs with it: not crediting interest on the time out of the market makes it look worse.
Chapter 7 of 13History