Objective Day Trading Systems And Subjective Market Factors
There are a lot of people these days hawking day trading systems and programs that promise riches in one market or another
. The great goal in all this is to develop a system that is objective one that predicts with near scientific accuracy what the market is going to do. All kinds of algorithms and factors are calculated to track whether a certain commodity will rise or fall, whether the dollar will be worth more or fewer Euros, or whether an electronics firms stock will go up in value. If only somebody could, rather than guess, simply know what the coming trends were, making money in the markets would be easy. Thats whats meant by objective knowing market outcomes for sure, or coming as close to that as possible.
The fact is that true objectivity with regard to financial markets is hard to come by in fact its not in a total sense realistically possible with current technology. There are so many factors, including so called subjective factors the human element, that no system that claims to predict what the market is going to do objectively will be able to live up to that promise.
A typical
forex day trading system, for instance, cant know weather patterns all over the planet that will affect various markets in foreign countries, and thus the productivity and its relation to the currency value. Forex day trading systems just cant do this because there is no way to actually make it a mathematical certainty. Similarly, a
stock day trading system will find it difficult to predict whether a companys new products will appeal to the masses or be passed over affecting the companys bottom line and thus its stock price. And a day trading future system will not be able to see by some calculation what levels wheat production will hit and what decisions bread manufacturers are going to make.
Any system or software that claims to be able to predict market behavior with anything close to 100% accuracy is not representing itself truthfully. However, this is not to say that some progress hasnt been made in this area. Some programs do the job much better than others. Its not that these systems can actually predict with total accuracy, but if they are well designed they can increase the odds of success very significantly.
One such system is the Tsunami trading system, by Tsunami Trading Educators Inc. It uses Price Volume and Momentum to analyze and call trades automatically and works for any market stocks, forex, commodity futures, you name it. It does not promise to be accurate 100% of the time. This is already a good sign the minute a program or system claims total accuracy you know for sure its not legitimate.
What the Tsunami software does do is real-time calculate a whole series of variables price, volume, momentum, etc. and condense them into one workable number that tends to be accurate far more often than not. This is the best anyone can ask for in fact better than the previous best. The company has statistics to prove this its past performance is exceptional. And while Tsunami itself acknowledges that past performance can never fully guarantee future performance, the odds are decidedly in favor of that happening.
Furthermore, Tsunami makes the interface remarkably easy it can be operated from a lap top or desktop and the user doesnt have to wait and watch a whole series of complicated variables before taking action. Time, economy, and ease of use is a big factor in day trading you dont want your market investment activity to become a second job. If its easy, convenient and statistically accurate, you know youre dealing with a good system.
This software is dynamite! Give it a try and see what this advanced and user friendly system has to offer. You stand to make big gains in profit, efficiency, and simple trading enjoyment. Thanks to its advanced computational schemes that make the end result workable and exceptionally accurate (to the degree that this is possible) the system sails above the others. Tsunami, if youll pardon the pun, is the tidal wave of the future.
by: John Gilliam
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