Hi all
For my master's theses, I'm studying some technical indicators to use it later and compare it with the simple buy and hold strategy (B&H). I started with the crossing moving averages, that will give me signals to buy or sell when the short moving avg crosses the long moving avg. Currently, I don't have any logical way to choose the dimension os these averages. From what I have seen, people seem to choose these lengths without any complex rational thought. "Just choose like 50 and 150...." I was wondering if there is actually a more precise way to do it? I saw a very small article with some results of comparing the B&H strategy with the Moving avg but with a learning method called Boosting to give better results.
http://cs229.stanford.edu/proj2008/...cationInVariableMovingAverageTradingRules.pdf
I know next to nothing regarding Machine Learning since my background is from Mathematics. Can you provide me with some ideas or where can I find more about this.
Thanks a lot!
Tomás
For my master's theses, I'm studying some technical indicators to use it later and compare it with the simple buy and hold strategy (B&H). I started with the crossing moving averages, that will give me signals to buy or sell when the short moving avg crosses the long moving avg. Currently, I don't have any logical way to choose the dimension os these averages. From what I have seen, people seem to choose these lengths without any complex rational thought. "Just choose like 50 and 150...." I was wondering if there is actually a more precise way to do it? I saw a very small article with some results of comparing the B&H strategy with the Moving avg but with a learning method called Boosting to give better results.
http://cs229.stanford.edu/proj2008/...cationInVariableMovingAverageTradingRules.pdf
I know next to nothing regarding Machine Learning since my background is from Mathematics. Can you provide me with some ideas or where can I find more about this.
Thanks a lot!
Tomás
