Automated Forex Trading | SystemTraderFX

Performance Tab

By The SystemTraderFX Team on December 14, 2008 at 5:02 pm | Filed under Tutorial
This entry is part 6 of 7 in the series Getting Started with SystemTraderFX

Performance Data Filters

The performance tab provides a list of the updated performance for each system in the platform. Users are able to filter the performance data based on systems, pairs, and time frames. Simply check the criteria you wish to filter then click on the Get button to see the filtered data.

Performance Data Legend

Below the filter area you will find a legend which allows the user to select the performance data categories for each system that is displayed in the columns. Automatically, the System Information, Curve, and Trade Details will display for each system. Users can view additional performance columns by adding a check mark to the desired category. To see the definition of a category simply click on the title for the category.

Performance Data Legend

Performance Data Legend

Columns

SYSTEM: Allows the user to alphabetically list all the systems. This enables the trader to access the complete set of pairs of a certain signal provider

PIPS: The number of pips generated by a system.

PIPS PER TRADE: This is a straight forward calculation of the number of pips divided by the number of trades. It would indicate the type of trading that the system is specializing in. Low pips per trade demonstrates short holding periods and vice versa. This measurement would be strongly correlated with the average trade time and used in conjunction with trade time. This will also allow the user to identify daily systems, intraday, or swing trading systems on the performance pages.

MP (Maximum Positions): The number of positions a system can hold in that system pair simultaneously.

Although some systems may never open the stipulated amount, the client still needs to allow for this during the screening process. For example, Cornerstone Zeus has the potential to open a maximum of 13 positions according to performance pages, if the client allocates 10K on this pair, in theory they can hold 10K X 13 positions or 130K. This means that the client needs to allow more margin over a system that only opens one position at a time. A client with a smaller account is much more suited to a system opening one or 2 positions as it keeps their leverage under control as it magnifies both gains and losses. A small account may not be able to withstand the drawdown or sustain the margin levels on a system with a high number of multiple positions.

PAIR: Allows alphabetical listing of all the currency pairs by system.

#TRADES: Number of trades generated by a system during that timeframe.

Statistically speaking, the greater number of trades a system has under its belt the better, as the system would have encountered numerous market conditions and was able to withstand slow or volatile markets alike. Many traders look for at least 30 trades before considering a system to boost end user confidence.

APT (Average Profit Trade): Total profit divided by the number of profitable trades. For example if you have 10 profitable trades that had a total profit of $1000 then the average profit would be $100 since $1000 divided by 10 equals $100.

ATT (Average Trade Time): The average holding period of the trade measured in hours.

START DATE: The day the system was added to the platform.

PROFIT FACTOR: Profit Factor is a very useful piece of data when measuring system performance. This value is derived from the profit generated by profitable trades divided by the losses generated by losing trades. A value of 3 would indicate that the system winning trades are 3 times higher than losing trades. For example winning trades average 180 pips whilst losing trades are 60 pips on average. Higher values typically indicate less risk.

ATL (Average Losing Trade): Total loss divided by the number of losing trades.

LLT (Largest Losing Trade): The largest single losing trade measured in USD assuming a 100K trade size during the specified time frame.

PROFIT (in Dollars): Profit or loss generated by a particular system using 100k trading lot sizes, including the carry cost.

MAX DRAWDOWN (IN PIPS NOT DOLLARS): A maximum drawdown is the largest drop from the net equity peak to the net equity drop.

The maximum drawdown is closed drawdown only and does not consider open drawdown during the time the trades remained open. This can reveal key issues about your trading strategy and system and is important in evaluating actual results. Clients need to consider carefully the drawdown of a system when identifying candidates for their portfolio. For example a drawdown of -764pips on EURUSD on 10k lots is -$764, using 20k lot it is -$1528 and so on.

LWT (Largest Wining Trade): The largest single winning trade measured in USD assuming 100K trade sizes during the specified time frame.

DIS (Days in System): The number of days since the system generated it’s first trading signal.

PO (Pay Off): The net profit divided by the total number of trades.

RAR (Risk Adjusted Rate): The risk adjusted value is also very important when assessing a system performance. Risk Adjusted is a direct measure of return in pips / maximum drawdown. On the outset a system with high number of pips may be appealing, but when you check out the risk adjusted value it is very low. Let us take an example, which system would you prefer; one that makes 1000 pips a month with 250 pips drawdown or one that makes 2000 pips a month with 1000 pips drawdown. The first system is the better system overall as the risk to the client is better for the returns. A system with a 1000 pip return and a 250 pip drawdown is quoted with risk adjusted figure of 4. There is not much point having a system that makes 2000 pips but loses 1000 pips during the process.

WIN %: This column represents the % of winning trades divided by losing trades. It is not representative of a winning or losing system, as a very good system can have more losers than winners as long as the winning trades are larger than the losing trades. It can be used to determine the probability of having a winning or losing trade.

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