I scoff, Sir, at the preposterousness of this post. Where's the un'like button when you need it? http://dictionary.reference.com/browse/prediction If a prediction is incorrect, then by definition is it no longer a prediction? Wrap your head around that, but DO enjoy this clip: The Big Lebowski music video.Just Dropped In (To See What Condition My Condition Was In) Conversely my time machines are 100% accurate** and guaranteed **Except for that one time a guy named Bob came through with his bowels inverted
Flipping a coin is right 50% of the time that's exactly the same accuracy as any attempted prediction, there are just too many variables to predict anything. Reacting live to what's happening is key!
Just trying to help the guy avoid wasting his time and money. He needs to learn how to trade on his own. What happens when the "system" stops working?
Us making fun of it, should give him enough of a clue I tried a few years back, all scams. Hadca free trial of a guru, set limit orders to go with, above and below, before news, works but on,y if you can close out at high of the day and ignore other pull backs like he did, but never live ofcourse. M1 chart, bollinger band 14sma 2.2dev is all you need, and 10 years experience lol
Simple answer, whether you accept it or not, that's another story, here it is... They all suck balls, vendors sell because they cant' use their products to make money.
"M1 chart, bollinger band 14sma 2.2dev is all "I" need, and 10 years experience" Whatever works for the individual HOWEVER one thing I have found is there is NO "right" way to trade. In my opinion you have to find a method that works for you and not what works for someone else.
I think it's more about the 10years of experience to be honest, American I presume, no sense of humor or understanding of sarcasm!!
http://www.trade-ideas.com/products/backtesting-2/ Check out trade ideas. If you are technically oriented, google "python, machine learning." Just my 0.002.
Automation of the process of backtesting rule-based trades upon price fluctuations, for such purposes effectively random data. The key is to data-fit to transient clustering of events in data sets small enough to not completely eliminate randomness. I could see how somebody that does not understand this might have the expectation of some predictive outcome.:eek: Automating this process is indeed a more efficient way to arrive at a disastrous conclusion. What could possibly go wrong?