Pathfinder Trading System
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Tagged: Pathfinder
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01/06/2017 at 6:02 PM #20082
Reiner,
Hope you are well,
Just a quick question regarding seasonality, how have you calculated this? How much data do you have? I don’t deny it improves the results but i’m a bit concerned that it makes the code curve fitted as we cant predict the future, would it not be better to fix 2 contracts across all seasons instead of 1-1-0-3-2-3-1 etc.?
Mark
01/08/2017 at 4:37 PM #20198Hi Guys,
I have reworked all Pathfinder daily versions and have attached a Pathfinder daily V2 template and an excel with all required data including the seasonal adjustments. I have found some additional instruments such as Cotton, ASX, SMI and SAF. I have removed EURUSD because of the poor backtest results.
The rating approach is the next step that I want to improve because as already discussed it’s not really comparable because of the different data histories. I think a better approach is to limit the history to 15-20 years.
By the way I use the results of this analysis for the Pathfinder swing idea.
Best, Reiner
01/08/2017 at 5:09 PM #20207Hi Mark,
The seasonal adjustments of the Pathfinder DAX 4H version are the result of the backtest from Aug 2010 until December 2016. On the equity clock webpage you will find a DAX statistic for the last 20 years. Here you can see that for instance the probability in April, October, November and December is 70% and higher. Nobody knows how the prices will develop in the future but we can check the behavior in the past to find a statistical advantage – isn’t a 70% probability not a good setup to increase the position size?
Pathfinder monitors the price trend with the help of the signal line and will deliver a trade signal when the system detect a breakout with a statistical advantage. The seasonality mechanism is an additional step to calculate the position size for a quality trade signal. The system is still profitable with almost all settings and it’s your personal decision if you trade with one, two or more contracts.
I have compared the values with the result of the maximum available IG data history from 1991 compiled with an Pathfinder daily version and you can see the risky months. May be it’s a good approach to reduce the size in the risky month to 1.
123456789101112131415161718192021222324ONCE January1 = 3 //0 risk(3)ONCE January2 = 0 //3 okONCE February1 = 3 //3 okONCE February2 = 3 //0 risk(3)ONCE March1 = 3 //0 risk(3)ONCE March2 = 2 //3 okONCE April1 = 3 //3 okONCE April2 = 3 //3 okONCE May1 = 1 //0 risk(1)ONCE May2 = 1 //0 risk(1)ONCE June1 = 2 //1 chanceONCE June2 = 2 //3 okONCE July1 = 3 //1 chanceONCE July2 = 1 //3 okONCE August1 = 1 //1 okONCE August2 = 1 //3 okONCE September1 = 3 //0 risk(3)ONCE September2 = 0 //0 okONCE October1 = 3 //0 risk(3)ONCE October2 = 2 //3 okONCE November1 = 2 //1 chanceONCE November2 = 3 //3 okONCE December1 = 3 // 1 chanceONCE December2 = 2 //3 okCheers, Reiner
01/09/2017 at 5:56 AM #2024601/09/2017 at 1:05 PM #2025501/09/2017 at 1:42 PM #2025801/09/2017 at 1:49 PM #2026301/09/2017 at 2:14 PM #2026601/09/2017 at 2:22 PM #2026701/09/2017 at 2:51 PM #20269Same thing, 11532..but only live, no position if I run the backtest..
Is it the same for u?
01/09/2017 at 2:53 PM #2027001/09/2017 at 4:23 PM #2029001/09/2017 at 4:33 PM #20291It’s surely not the best allocation, but is it a good idea to have a panel of several daily pathfinder working together, and stop the inactive when 2 are in position with smaller account?
For example, 15 daily pro-oder pathfinder daily instrument working with a 20k account to profit from the maximum exposition .
When 2 are on position, the others are stopped until one is free.
What you think of that? is it a stupid money management?
01/09/2017 at 4:54 PM #20293@traderferd
You should see the position on probacktest next candles.. at 17:00 (UTC/GMT +1)
1 user thanked author for this post.
01/09/2017 at 6:28 PM #20313 -
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