Discussion of article "Combination scalping: analyzing trades from the past to increase the performance of future trades"
thanks for sharing knowledge!
So, what you mean is that one of the way to improve a trading system, is to include some time expiration function after an opened position and then optimize this time variable?
Great contribution!
Although I'm still researching this way of finding patterns (my code is still very crude), the idea of adding specific forced timing closed on top of the original strategy closing has already added great value to a couple of my own EAs, increasing their performance even on OOS and Validation data samples.
Thank you so much!
GBPUSD, H1
Each level (horizontal line) is 225 pips.
Each dot is a 225 pips movement.
Total pips per week = 11025 pips
Total pips per week = 7650 pips
Total pips per week = 8325 pips
Total pips per week = 21825 pips. 2182 points per week!
Who is looking for the treasure? Here it is! You just need to take it.
New article Combination scalping: analyzing trades from the past to increase the performance of future trades has been published:
Author: Oleg Besedin
As part of the research of this "Combination Scalping Method", Agreed Forex Levels were found. This is briefly written at the end of the this article. Since then, I have devoted all my time to exploring these levels. And the preliminary results are impressive! Even simple trading algorithms work effectively, and there are many options for trading strategies. Research for the years ahead!
GBPUSD, H1
Each level (horizontal line) is 225 pips.
Each dot is a 225 pips movement.
Total pips per week = 11025 pips
Total pips per week = 7650 pips
Total pips per week = 8325 pips
Total pips per week = 21825 pips. 2182 points per week!
Who is looking for the treasure? Here it is! You just need to take it.
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New article Combination scalping: analyzing trades from the past to increase the performance of future trades has been published:
The article provides the description of the technology aimed at increasing the effectiveness of any automated trading system. It provides a brief explanation of the idea, as well as its underlying basics, possibilities and disadvantages.
Imagine: there is a cannon (a trading system or an algorithm) and 2 boxes of shells — one with positive (profitable) trades, and the other with negative (losing) trades. If you shoot them and study the craters on the battlefield, it turns out that some positive deals never fall into negative craters throughout the shooting history.
Visually, it might look like this:Figure 1. Digital field of trading history
Author: Oleg Besedin