[follow_me]I was speaking with Mike Chalek on the phone this weekend concerning Data Aliasing and he felt this post was a little confusing. After re-reading it I can see where he is coming from. Using the same example let me see if I can clarify: assume the trading day is Wednesday and you want to keep track of the slope of a 19-day weighted moving average of data2 (weekly bars) by using a variable. The following code will give an erroneous result:
wAvg = wAverage(c of data2,19);
mySlope = wAvg – wAvg[1];
If you interrogate mySlope intra-week then it will always be equal to zero. The wAvg is by default tied to data1 which in this case is daily bars. So the value of wAvg is carried over from one day to the next. It only changes when the average of the weekly bar changes and that only occurs on Friday.
There are two possible solutions:
Without the use of data aliasing – inLine function calls
mySlope = wAverage(c of data2,19) – wAverage(c[1] of data2,19) ;
With the use of data aliasing –
vars: wAvg(close of data2,0);
wAvg = wAverage(c of data2,19);
mySlop = wAvg – wAvg[1];
Either examples will work, but if you have several variables tied to a different data stream, then the code will be much cleaner looking using data aliasing – plus it cuts down on multiple function calls.
I have been working on a project where the strategy combined daily and weekly bars. Keeping track of the two time frames was, at one time, not that easy. However, with TradeStation’s Data Aliasing it is no problem at all. We all know that Data 1 is the highest resolution time frame and is the one used for trade execution. Data 2 can be a different market or a different time from of the same market. TradeStation allows for multiple data streams. Take a look at the following output in table 1. Wavg is a nine period moving average of weekly crude data. Wavg[1] is the prior value of the moving average. If you wanted to make a trading decision on a daily bar basis by looking at the slope of the Wavg you couldn’t. The Wavg and Wavg[1] only changes at the beginning of the next week. Most traders want to be able to make a trading decision intra-week by examining the current values of the Davg1, Davg2 and the slope of Wavg. During the week the slope of Wavg is ZERO.
Now look at table 2. The Wavg is not being updated on a daily basis but on a weekly basis. The current Wavg doesn’t become the prior Wavg on each daily bar. Wavg[1] stays the same until a new weekly bar occurs. You can now make a trading decision intra-week by examining the slope of the Wavg. Each time frame update should only occur when a new bar of that same time frame is generated. This feature is really cool and is easy to implement.
Here is the code that utilizes Data Aliasing. All I did was declare the weekly avg variable and tied it to data2.
vars: mavShortDaily(0),mavLongDaily(0);
vars: mavWeekly(0,data2);
mavShortDaily = average(c,19);
mavLongDaily = average(c,39);
mavWeekly = average(C of data2, 9);
If mavShortDaily > mavLongDaily and mavWeekly > mavWeekly[1] then buy this bar on close;
If mavShortDaily < mavLongDaily and mavWeekly < mavWeekly[1] then sellshort this bar on close;
print(date," ",mavShortDaily," ",mavLongDaily," ",mavWeekly," ",mavWeekly[1]);
Notice how the variable mavWeekly was tied to data2. When you delcare a variable that is tied to another data other than data1 you can put the data stream right in the variable delcaration : mavWeekly(0,data2).
In the next few weeks I will be providing EasyLanguage code utilizing FSMs to model trading systems. Cut your teeth on this model of a combination lock. The EasyLanguage will use the Switch and Case keywords to implement these models.
Backtesting with [Trade Station,Python,AmiBroker, Excel]. Intended for informational and educational purposes only!
Get All Five Books in the Easing Into EasyLanguage Series - The Trend Following Edition is now Available!
Announcement – A Trend Following edition has been added to my Easing into EasyLanguage Series! This edition will be the fifth and final installment and will utilize concepts discussed in the Foundation editions. I will pay respect to the legends of Trend Following by replicating the essence of their algorithms. Learn about the most prominent form of algorithmic trading. But get geared up for it by reading the first four editions in the series now. Get your favorite QUANT the books they need!
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For thirty-one years as the Director of Research at Futures Truth Magazine, I had the privilege of collaborating with renowned experts in technical analysis, including Fitschen, Stuckey, Ruggiero, Fox, and Waite. I gained invaluable insights as I watched their trend-following methods reach impressive peaks, face sharp declines, and ultimately rebound. From late 2014 to early 2020, I witnessed a dramatic downturn across the trend-following industry. Iconic systems like Aberration, CatScan, Andromeda, and Super Turtle—once thriving on robust trends of the 1990s through early 2010s—began to falter long before the pandemic. Since 2020 we have seen the familiar trends return. Get six hours of video instruction with this edition.
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