One metric that seems to be missing from TradeStation is a Day Of Week analysis. It would be nice, but I don’t know how helpful, to know the $P/L breakdown on a weekday basis; does your system make all of its money on Mondays and Fridays? I created the code that will print out to the print log using an EasyLanguage method. A method is a subroutine that can be included in the main code (strategy, indicator, etc.,.) The global parameters to the main program can be seen inside the method. You can localize variable scope to the method by declaring the variable within the method’s body. A method is a great way to modularize your programming, but it is not the best way to reuse software; the method is accessible only to the main program. This EasyLanguage also utilizes an array and shows a neat piece of code to access the array elements and align them with the day of the week. The dayOfWeek() function returns [1..5] depending on what day of the week the trading day falls on. Monday = 1 and Friday = 5. The array has five elements and each element accumulates the $P/L for each of the five days based on when the trade was initiated.
vars: mp(0); array: weekArray[5](0);
method void dayOfWeekAnalysis() {method definition} var: double tradeProfit; begin If mp = 1 and mp[1] = -1 then tradeProfit = (entryPrice(1) - entryPrice(0))*bigPointValue; If mp = -1 and mp[1] = 1 then tradeProfit = (entryPrice(0) - entryPrice(1))*bigPointValue; weekArray[dayOfWeek(entryDate(1))] = weekArray[dayOfWeek(entryDate(1))] + tradeProfit; end; Buy next bar at highest(high,9)[1] stop; Sellshort next bar at lowest(low,9)[1] stop;
mp = marketPosition;
if mp <> mp[1] then dayOfWeekAnalysis();
If lastBarOnChart then Begin print("Monday ",weekArray[1]); print("Tuesday ",weekArray[2]); print("Wednesday ",weekArray[3]); print("Thursday ",weekArray[4]); print("Friday ",weekArray[5]); end;
Code using METHOD and ARRAY manipulation
Here is an example of the print out created by running this simple EasyLanguage strategy. Maybe don’t trade on Monday? Or is that curve fitting. This is an interesting tool and might carry more weight if applied to day trade algorithm. Maybe!
Monday -8612.50
Tuesday 6350.00
Wednesday 2612.50
Thursday -937.50
Friday -1987.50
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!
This series includes five editions that covers the full spectrum of the EasyLanguage programming language. Fully compliant with TradeStation and mostly compliant with MultiCharts. Start out with the Foundation Edition. It is designed for the new user of EasyLanguage or for those you would like to have a refresher course. There are 13 tutorials ranging from creating Strategies to PaintBars. Learn how to create your own functions or apply stops and profit objectives. Ever wanted to know how to find an inside day that is also a Narrow Range 7 (NR7?) Now you can, and the best part is you get over 4 HOURS OF VIDEO INSTRUCTION – one for each tutorial.
This book is ideal for those who have completed the Foundation Edition or have some experience with EasyLanguage, especially if you’re ready to take your programming skills to the next level. The Hi-Res Edition is designed for programmers who want to build intraday trading systems, incorporating trade management techniques like profit targets and stop losses. This edition bridges the gap between daily and intraday bar programming, making it easier to handle challenges like tracking the sequence of high and low prices within the trading day. Plus, enjoy 5 hours of video instruction to guide you through each tutorial.
The Advanced Topics Edition delves into essential programming concepts within EasyLanguage, offering a focused approach to complex topics. This book covers arrays and fixed-length buffers, including methods for element management, extraction, and sorting. Explore finite state machines using the switch-case construct, text graphic manipulation to retrieve precise X and Y coordinates, and gain insights into seasonality with the Ruggiero/Barna Universal Seasonal and Sheldon Knight Seasonal methods. Additionally, learn to build EasyLanguage projects, integrate fundamental data like Commitment of Traders, and create multi-timeframe indicators for comprehensive analysis.
The Day Trading Edition complements the other books in the series, diving into the popular approach of day trading, where overnight risk is avoided (though daytime risk still applies!). Programming on high-resolution data, such as five- or one-minute bars, can be challenging, and this book provides guidance without claiming to be a “Holy Grail.” It’s not for ultra-high-frequency trading but rather for those interested in techniques like volatility-based breakouts, pyramiding, scaling out, and zone-based trading. Ideal for readers of the Foundation and Hi-Res editions or those with EasyLanguage experience, this book offers insights into algorithms that shaped the day trading industry.
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.
Pick up your copies today – e-Book or paperback format – at Amazon.com