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Designing a Trading System in MetaStock - Part 1

In this three article series, I`m going to guide you through the process I use to design a trading system using MetaStock. Iíll cover the four major components that every successful trading system has in common, and then Iíll show you how to code these components into the MetaStock program. Please note that this is by no means investment advice and any information I cover is purely for illustrative purposes.

I am a technical analyst by trade. It is my belief that all fundamental and economic influences on a stock price are taken into consideration by the market. Therefore, I focus my attention on price action. All my trading systems are based on this understanding of the market, and the rules of my systems are built to respond to price actions. In this article, Iíll cover the basic rules of trading:

- Entry rules (when you get into a position)
- Exit rules (when you get out of one)
- Money Management rules (how much do you put in a trade?)
- Back - Testing (does the system work historically?)

These four components make up a proven formula for designing profitable trading systems in MetaStock. Letís start with the first part.

A stock passing through a precise set of conditions creates entry signals before you will enter a trade on that security. I believe the rules set to signal an entry into a position should leave no room for individual judgment. I follow the KISS principal - that is they should Keep It Simple Simon.

Remember, there is no Holy Grail of entry systems. There is no MetaStock formula that will get you in at exactly the right time, everytime. With this in mind, itís your goal to construct a simple, yet robust entry system.

Even though I always say that the entry is the least important component of any trading system, you still must have some way to enter a trade. Here are the points that I think are important to consider when identifying possible entry points.

PRICE: It is important to set price maximums/minimums because a stockís price can determine its attributes. For example, speculative stocks tend to be cheaper, and blue chip shares tend to be more expensive.

LIDUIDITY: This is a measure of how much money the stock trades at. You need to set minimum levels of liquidity to keep you out of stocks that simply donít trade enough. You can risk being trapped in stocks where the market is moving against you if they have a low liquidity.

VOLATILITY: This measurement tells you how much a stock moves. It is important to trade stocks that move enough for you to make a profit, yet arenít so erratic that you canít sleep at night.

TREND: This is the cornerstone of technical analysis. Remember that ďthe trend is your friendĒ and that you always want to trade with it, not against it. You will need a way to measure trend in your system.

TRIGGER: This is the point that will indicate it is time to enter a trade. The trigger condition occurs only at one point in time and doesnít hold ďtrueĒ over extended periods of time, such as with a moving average cross over.

When combined, these components are going to make up your entry rules. But, before we even begin coding this into MetaStock, you need to determine one of the most critical elements of any system. What time frame are you going to trade?

+ Short-term, such as a reversal trader


+ Long-term, such as a trend follower

There are distinct differences between these two types of systems and your choice here will have a marked effect on every other decision you make about your system.

Short-term systems tend to require a greater time commitment, and more money. However, the benefit of trading more often is that usually your profits are more consistent, and are realised more frequently.

Conversely, longer-term systems tend to require less time, and less money. However, since you are keeping your positions open longer, you need to wait until positions are closed out before you can collect any profits.

Generally, I steer my clients, particularly those who are just starting out, to a longer-term trend following system. It takes less time, less money, there is less risk and it is easier to do than short-term trading. In addition, trend following systems tend to have a higher win to loss ratios and are psychologically easier to follow because of this.

For the sake of this example, let us construct a trend following system. In the next two articlesScience Articles, Iíll explain how to code the four entry components of a trend following system into MetaStock.

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David Jenyns is recognized as the leading expert when it
comes to MetaStock and designing profitable trading systems.

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