Important Risk Factors to Consider When Choosing a Metatrader Expert Advisor
With thousands of Metatrader EAs out there, it can be tough to cut
through the noise and find one suitable for your trading style and risk
tolerance. To help you in this search, I've compiled the statistics
that many traders find to be very beneficial when analyzing any
Keep in mind that many of these backtesting statistics look solely
at past performance. It's important to mention here that past
performance is not indicative of future results.
With that said, the very first thing many traders look for, and this is rather intuitive, is: How well has this EA performed in the past?
Obviously it's important to look for one that has shown profitable
results, but stopping there could lead to some detrimental results.
These returns need to be adjusted for risk. If the Metatrader EA has
shown some eye opening profits, but took on a ton of risk, these
returns may not have been worth your while. To quantify profitability
while also considering the risk taken on by the EA, many traders look
at a statistic known as the "Profit Factor.”
This ratio essentially shows you how much you can expect to gain for
each dollar put into the account, over how much you're at risk of
losing. The profit factor is calculated as:
(profit - commission)/(max drawdown + commission)
A Metatrader EA with a profit factor less than 1 is a historically
poor performing EA. The returns that it has produced do not justify the
amount of risk taken on. Take a look at the table below for statistics
of three hypothetical Metatrader EAs.
As you can see from this table, EA 3 has a profit factor less than
one, and can be immediately eliminated from your decision. If you look
closely, EA 3 actually was profitable (Total Gain - Total Loss = $890),
however this return does not justify the amount of risk (drawdown)
The risk measurement that many traders tend to focus on are the drawdowns that the Metatrader expert advisor has produced.
When first analyzing the drawdowns of an EA, a good place to start
is simply by looking at the equity curve. An EA with a choppy and
sporadic equity curve shows a historically volatile EA (see the chart
below to the left); whereas a smoother equity curve shows a
historically more stable EA (see the chart to the right).
Equity Curve - Volatile EA
Equity Curve - More Stable EA
Now, to further quantify the drawdown analysis; there are three measures that many traders look at.
- Max Drawdown:
- This is the largest drawdown (in percentage terms) that the EA has realized over its trading life
- This is the best indicator of a worst case scenario
good way to think about this is: If this drawdown occurred immediately
after opening your account, could you stomach this type of risk?
- Average Drawdown:
- The average drawdown size (in percentage terms) realized by the EA over its historical performance.
- Calculated by summing up all the losses (%) and dividing by the actual number of losses.
- In most cases this statistic can be provided by your EA vendor
- The average drawdown will give you an idea of what you might typically see (on average) in a peak-to-trough cycle.
- Drawdown Recovery:
- Shows the time frame the trading robot has taken, on average, to recover from a drawdown back to a positive balance.
- A less volatile Metatrader expert advisor will often take longer to recover.
- Keep this in mind before deciding that a fast recovery is a good attribute.
- More volatile EAs often recover quicker, but this is due to large fluctuations and swings in performance.
These risk measurements will certainly be helpful when selecting the
right EA for you. Keep each of these risk statistics in mind when
analyzing any Metartrader EA, and always evaluate how they fit your
personal risk tolerance. There are many more statistics and factors to
consider when choosing an EA, and I will explain these in later
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