We all know there are no magic indicators but there is one that certainly acted like magic over the past 10 years or so. What indicator is it? Our reliable RSI. In this article we are going to look at two trading models that were first talked about in the book, “Short Term Trading Strategies That Work” by Larry Connors and Cesar Alvarez. It has been well established in various articles that a 2-period RSI on the daily chart of the stock index markets has been a fantastic tool for finding entry points. Sharp price drops in the S&P E-Mini futures during bullish markets have historically (since the year 2000) been followed by reversals. These reversals can often be detected by using the standard RSI indicator with a period value of two. Place this indicator on a daily chart and look for points when the indicator falls below five, for example. These extreme low points are buying opportunities.
We can turn this into a simple trading model to test the effectiveness of the RSI(2) indicator on the E-mini S&P. In short, we wish to go long on the S&P when it experiences a pullback in a bull market. We can use a 200-day simple moving average to determine when we are in a bull trend and using a 2-period RSI to locate high probability entry points. We can then exit when price closes above a 5-day simple moving average. The rules are clear and simple:
The system backtest was performed from September 1997 through March 2012. A total of $50 for commissions and slippage was deducted per round trip. Below is a chart of what this system would look like along with the system results.
Net Profit: $17,163
Percent Winners: 67%
No. Trades: 64
Ave Trade: $268.16
Max Drawdown: -$5,075
Profit Factor: 1.90
These results are great considering we have such a simple system. This demonstrates the power the RSI(2) indicator has had now for well over a decade. Just with this concept alone you can develop several trading systems. For now, let’s see if we can we improve upon these results.
Larry Conners adds a slight twist to the RSI(2) trading model by creating an accumulated RSI value. Instead of a single calculation we will be computing a running daily total of the 2-period RSI. In this case, we are going to use the total of the 2-period RSI for the past three days. When you keep an accumulated value of the RSI(2) you smooth out the values. Below is a chart comparing the standard 2-period RSI indicator with an accumulated 2-period RSI indicator. You can see how much smoother our new indicator is. This is done to reduce the number of trades in hopes of capturing the quality trades. In short, it’s an attempt to improve the efficiency of our original trading model.
The rules are:
Net Profit: $17,412
Percent Winners: 67%
No. Trades: 52
Ave Trade: $334.86
Max Drawdown: -$4,850
Profit Factor: 2.02
What would the 2-period RSI system look like trading 100 shares of the S&P cash market going back to 1993? It does rather well.
So which one is better? The accumulated strategy worked as intended. It increased the efficiency of the standard RSI(2) trading model by reducing the number of trades, yet produced about the same amount of net profit. As a bonus, the drawdown was slightly smaller. While both systems do a fantastic job, the accumulation strategy may do a slightly better job. The Accumulated RSI(2) strategy will work well on the mini Dow as well as the two ETFs, DIA and SPY.
The EasyLanguage code is available below as a free download. There is also a TradeStation workspace. Please note, the trading concept and the code as provided is not a complete trading system. It is simply a demonstration of a robust entry method that can be used as a core of a trading system. So, for those of you who are interested in building your own trading systems this concept may be a great starting point.