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Time frame analysis looks at the profitability and risk profiles generated by the EA when trading different time frames. This analysis provides information for the following questions.

  1. Which time frames are the most profitable ?
  2. Which time frames are the riskiest ?
  3. Which time frame requires the most capital ?
  4. Which time frames produce the biggest draw-downs?

The table above was created from the information on the MakeMoney EA settings pages.  At best these figures are guides but do produce some interesting currency and time-frame risk / reward information.

The following are possible conclusions one can make:-

  1. All 3 currencies more than doubled their original capital on average every month.
  2. The 5 min timeframe is the most profitable timeframe.
  3. The GBPJPY is the most profitable currency to trade
  4. Although the GBPJPY is the most profitable currency to trade it also has between 2 to 3 times higher drawdowns which makes it a less attractive currency than originally envisaged.
  5. The EURJPY has produced the overall lowest draw-down to income ratio which makes it one of the most favoured currencies to trade.
  6. The time-frame with the lowest actual draw-downs is the 15 minute time-frame

From the above one could conclude that :

  1. The EURJPY in the 5 min timeframe offers the best income to risk (drawdowns) figures compared to the other currencies and therefore would be the most favoured combinations to trade live.
  2. Althought the GBPJPY, 5 minute timeframe is extremely risky it could be considered as a high risk / high reward option as in spite of the large draw-down the high income makes up for the risk.  The overall performance still appears to be better than the best 15 min and 4 hour options.
  3. The EURJPY, 4 hour results show a reasonable return of risk to put as the best contender for that timeframe
  4. The GBPUSD , 15 min results show a good drawdown to income ratio and income per trade average to place it as the best option for that timeframe.

These conclusions are based on currently available information. One would have to expand into more currencies and different testing periods and more evaluation techniques to make sure that these conclusions remain valid.