You can program, support resistance levels , momentum , pivots with standard trading languages , like EasyLanguage or TradersStudio Basic, what you can't do is apply machine learning and advance modeling. For example use SVM to do pattern identification for more advanced patterns. Time series forecasting with Arima/Garch or using neural networks. Identify trading regimes with Hidden Markov Models. This is why R and Python are of value. It makes doing these advance things something a normal system developer can attempt.
Thanks Murray,
Well, I want statistical confidence for every trade I take. The Only problem/concern I have right now is that for the strategy I now paper trade, i have limited (about 300 trades) amount of back testing data to confidence say this strategy will make money in the future and all have to do is click buy and sale like robot. No emotional attachment is what I want via manual or automated trading. The 300 trades show good performance metrics.
But is 300 trades enough for me to trade with confidence.
One of the reasons me and few others shy away from automated trading is because noone talks in simple terms. All this advance modeling stuff. I can barely make money manually trading a support and resistance line, all this machine learning stuff.
I reckon all the advance trading people work at Goldman Sachs.
Just the other day I was listen to a webnair with an experienced algorithm system developer talking and he said it normally takes programming and backtesting of 200 trading ideas before finding 1 system to trade live.
Then he said that 1 you find, may stop making money in X amount years.
I'm just a simple minded Texas boy, but when he said that, it made 0 sense to me. And I have an engineer degree, but I enjoy trading as well.
Please explain, why spend time develop system that may not work and was tested for the past 10 years and 2008 to 2009 market crash is within that 10 years?