I've been studying about NP problems and i could say that if you have as little as 25 different candlesticks , and try to use combinatory optimization to find patterns
to beat the market, a really fast computer , that could do 1 billion loops per second, would take about 40 million years to discover the best pattern to beat the market,
so the market is a NP complete problem, just like the travelling salesman problem. So you can just make approximations, and hope it to be good enough, just saying
NP means non-polynomial. Some people think is easy to find patterns, but if you take only 27 candlesticks and try to find a pattern to predict the market you would have to
calculate at least 6 * 10 to 23 different possibilities, even the faster computer in the world would take millions of years to close it, and 28 candlesticks, billions of years. I'm just
saying that because i see people with faith in AI machine learning, i think thats not the case the data is to big to crunch, a brain will perform at least better
No offense but if monte carlo aproximation works so well, why do you sell indicators? maybe it isn't that good. Anyway i'm just talking about how complex and difficult is the market. those aproximation
methods depend on inefficiency of the market, but you cant predict that too.