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There are many ways to use indicators to help determine when the market is within a bull or bear mode. A common method that works well on trending markets over the long-term has been the so-called death cross and golden cross (Death/Golden Cross) indicator. This topic was discussed in a former article called, The Death Cross – What You Need To Know. I encourage you to read the article which is based on backtesting the indicator on the S&P 500. Below are the rules used by the Death/Golden Cross to divide a market into a bullish or bearish mode.
Bull Market = 50-Period SMA > 200-Period SMABear Market = 50-Period SMA < 200-Period SMA
In short, the Golden Cross has been a great signal for long-term market strength while the Death Cross often signals market weakness. Simply using the Death Cross as a signal to close all long positions within your retirement and brokerage accounts has historically saved your account from painful drawdowns. But can we improve upon this idea?
Within this article I’m going to build upon the Death/Golden Cross concept. I recently became inspired to write this article after reading “Defining The Bull And The Bear” by Chuck Dukas. Chuck developed a simple and interesting method to take the Death/Golden Cross to the next level. I’m going to reconstruct his concept using EasyLanguage programming code and backtest it to see how effective it is.
Within Chuck’s article, he uses a 200-period simple moving average (SMA) and 50-period SMA as the two primary indicators. These are the same indicators used by the Death/Golden Cross. However, where the Death/Golden Cross uses the crossing of these averages to generate their respective bull and bear signals, Chuck goes further by breaking up both the bear and bull markets into six different Phases.
These phases take into account the relative positions of both the daily closing price and the two moving averages. This finer granularity can be used as a guide to deploy your money in the markets.
For a pictorial representation of some of these phase you can see the “Bull Phase” and “Warning Phase” listed below.
On the opposite end of the spectrum, below is an image of price action in “Bear Phase”, “Recovery Phase” and “Accumulation Phase.”
The original article goes into much more explanation behind each phase but let’s stick with the basics which are very quantifiable. These simple rules can now be programmed into an automated trading system and tested. This system will be called the Market Phase System. For our examples I’m going to be buying the S&P 500 cash index ($SPX.X) and deduct $30 per round trip for slippage and commissions. The system will be going long only and will scale into a position based upon the following rules:
Buy X shares when we advance from Recovery Phase into Accumulation Phase.Buy X shares when we advance from Accumulation Phase to Bull Phase.
The number of shares will be adjusted based upon an ATR calculation and will risk no more than $2,000 per trade with an account size of $100,000. We will exit our entire position when we enter a Bear Phase. The exit rule is basically the same as the Death/Golden Cross. Also, the entry rules are similar. The only difference is with the Market Phase System we are scaling into our position while the Death/Golden Cross purchases all shares ($4000 risk per trade) when the signal occurs. In short, the Market Phase System allows us to scale into our position during the Accumulation Phase instead of waiting until we transition into a Bull Phase. So, how do these two systems compare?
Since the inception of $SPX.X it has been difficult to beat following the Death/Golden Cross signals. The Market Phase System holds its own. It produces more than twice as many trades, but remember that’s also due to the fact it scales into the full position and TradeStation reports each entry as an individual trade. That’s why we have over twice as many trades. But the system does hold up well.
One tweak I would like to make to the Market Phase System is to substitute the closing price with a price proxy. As we know, the daily closing price of SPY can be rather choppy resulting in whipsaws. Let’s try to reduce some of these false signals and see if we can improve the system’s performance. For our price proxy let’s take the exponential average of the last five days. But don’t use the closing price of SPY. Let’s take an average of the daily high, daily low and the closing price. With this method we are taking into account the size (range) of the daily bar. Here is the formula.
PriceProxy = Exponential Average ( (High+Low+Close)/3, 5 )
We will use the value of PriceProxy instead of the daily closing price in all our calculations. This is done to smooth out the short-term price noise. Below are the results.
The price proxy does what is should do – reduce the number of trades, increase the percent winners and increased the average profit per trade. This was accomplished by reducing whipsaw trades. This results in slightly less overall net profit but generates a better profit factor. So our reducing the number of losing trades comes at a cost. Keep in mind the number of shares traded between the two systems is not identical. Trades are entered at different times based upon volatility and price so, the number of shares traded will not be identical.
Does the scale-in technique of the Market Phase system perform better than our Death/Golden Cross system? It’s a close call. Both systems are very similar, which is expected since both systems produce similar trading signals. However, we enter the trade earlier with the Market Phase system which is why it produces slightly more profit. It also has more losing trades. Again, this is due to the fact we are scaling into the position. Clearly the Market Phase with the price proxy does not add much value. It all comes down to what you are looking for. For me, the Market Phase does not add enough value. I like to keep things simple and it does not get much simpler than the Golden Cross.
Both the Market Phase system and the Golden Cross system are long term trend following systems. They do OK on SPY because it’s such a broad based index. However, they don’t fair so well on major stock index ETFs such as NASDAQ, DIA or IWM. They also perform poorly when trading individual stocks. So, what else can we use these systems on? Commodity ETFs appear to be the best bet since they tend to have smoother trending characteristics which trend following systems can take advantage of.
Note, many times a lot of cash is left on the table as we wait for the Bear Phase to close our long positions. Trading this type of system, which is typical for a long-term trend following system, one must have a lot of psychological strength to sit and watch profits evaporate while waiting for your exit signal. This is mentally difficult to do! This also makes me wonder if scaling out of the trades may work better to capture more profit.
In closing, both of these systems are not tradable systems as they stand. For example, they do not utilize protective stops! However, it appears they could provide a basis for a complete system with some modification. Another idea would be to use the Market Phase as a regime filter.
Jeff is the founder of System Trader Success – a website and mission to empowering the retail trader with the proper knowledge and tools to become a profitable trader the world of quantitative/automated trading.
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