A sample system threw together based on the output as I mentioned in the review.

First we will have a look at the five neural networks and the output that they produce. They are as follows:

1. Moderate trend indior. (PTM) This system forecasts the 10 day moving average of closes 4 days in advance. In other words the 10 day moving average is expected to be in this price 4 times out. When Point states that their networks are 75% accurate or 80 percent accurate this is the system. They assert that around 80 percent of the period when the PTM (Predicted Trend Medium) says the market will be up or down or flat -- this indior is actually the one which is accurate that portion of the time.

2. Short-term trend indior. (PTS) This neural system resembles the PTM but forecasts the 5 day MA of closes 2 days in advance.

3. Predicted High. This system forecasts the price of the high over the next 24 hours.

4. Predicted Low. This is the lowest price the market is expected to hit over the next 24 hours.

5. Index. This indior forecasts whether market leadership is anticipated to be down or up. It usually shows a value of 1.00 for up and 0.00 to get down. It might also reveal numbers in between 1.00 and 0.00 but that is relatively rare. A prejudice that is clear is usually delivered by it regarding its market leadership over the next 24 hours.

The following graphic image is a screen shot of the true daily output chart from the Point system.

The foundation for the day trading system

was fascinated with the idea of a predictive system and never having quite given up on discovering something that could predict market behaviour with noteworthy accuracy I was tempted to determine whether a system that depended on VP's daily price predictions would be viable. After taking a look at the indiors and out-putting 600 trading times from VP's history of predictions and comparing it with EOD daily bar history in Excel -- I experimented with several types of day transactions just to get a sense of the VP appliions and what I may have the ability to expect from it once placing day trades.

Having no easy way to back test a system made in Point except a rather crude attempt using an Excel spreadsheet or using a rather painstaking manual process -- I opted instead to try something easy that will be likely to work if the predictions of the software were reliable and which would most likely not function if the predictions were too sporadic to be purposeful enough to win with a day commerce system.

Using the output from Point and taking into account that I would not have enough time to position trade satisfactorily to generate a meaningful review -- I determined that because the platform forecasts the high and low for another 24 hours -- should simply entered in the low and exited in the high on a long trade and did the opposite using a short commerce -- the machine should work given appropriate risk management and whether the predictions were marginally reliable. As I mentioned in the review thread -- one of the criteria that I have for all systems that I review -- is much daily time and focus is required to exchange the machine. Maintaining that standards in mind assembled a set of rules. They are as follows:

1. Scan Point's output to the called high and low for each day right after the market close when the new EOD data arrives. Plot each as a flat line. The next graphic shows the predictions that were plotted before the day and the market activity that occurred.

2. Scan the trend (Index indior) management for another 24 hours and use it as a foundation for anticipated market leadership. If power seems strong -- trade only in the direction of strength. (See the INDEX column to get a 0 or 1 )

3. Loion entry orders for any or all the six markets -- just a little inside the high or the low of the day based about the bias of the Index indior. If there did not seem to be a directional bias that was strong enough to be significant and when current market price was someplace well interior of the predicted daily range afterward I place entry orders in both the high and low on an OCO foundation.

4. Examine the market periodically to observe how the transactions are doing. I allow myself the freedom to close any or all transactions when the aggregate of transactions was up percent or if things did not seem right.

5. Use stops about 1/3 the dimensions of goals -- basing them on support/resistance or just max risk. Typically this ranges 30 to 45 pips.

The following graphic shows a tyipcal entrance order that has been in place. The black line is the entrance and the two lines are exits for profit or loss. This one was hit and is near exiting for profit.

6. Risk less than one percent per trade. Normal risk averages about.6 percent per commerce. I might have risked more and done but I experimented using a position building rule that said if a position had been entered inside the called range that I'd increase the place around 20 pips over the initial entry with stops. As I blundered about I determined this rule required analysis to correctly build a position for my experimental purposes . I was not really focusing on cash management due to my interest in testing the viability of the system thought. Some might disagree with that egy and that I may disagree with it myself. I'm delighted with the amount of work required to produce results pretty much right.

Below is a log of transactions from the entire month of july. I've continued trading the machine because this log and the results have been pretty consistent. I generally risked an average of.6 percent each commerce but some transactions I risked as small as half that much. Nevertheless the profit for just a little more than a month of trading arrived that I think is excellent considering the negligable drawdowns and ultra conservative risk amount.


Also take a look at the graphics thread within this section for any number of shots of predicted highs and lows that occurred throughout the entire month.

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