Watukushay No 5 The Aussie and the Kiwi More Encouraging Results

During this weekend I released the first official version of Watukushay No.5 coupled with all its 10 year backtesting data showing profitable results on 6 different currency pairs in Asirikuy. From my last post about this EA you might remember that Watukushay No.5 had been tested on the EUR/USD, GBP/USD, USD/JPY and USD/CHF, however at that time I hadnt completed my analysis on two other currency pairs that also show us great results with this strategy despite their overall lack of liquidity, the AUD/USD and the NZD/USD. On todays post I want to share with you some of the results of the EA on these currency pairs and how the EA is able to use a completely different trading technique to profit from the different trading mechanics of these two instruments.

As you may already know, Watukushay No.5 attempts to exploit breakout inefficiencies on the different currency pairs. On the 4 majors this is done by exploiting periods of low volatility when the currency pairs form significant ranges, entering breakouts when important moves develop within the following trading sessions. However, these trading tactics do not work well on the AUD/USD and NZD/USD, not only because they tend not to form areas of compact trading but due to the fact that this areas do not lead to successful or unsuccessful breakouts with any statistical significance. In the end if you try the same tactics as with the majors you will obtain slightly profitable results which are definitely not worth using in live trading.

Upon my analysis of these two instruments it became clear that I needed to think the problem from another perspective if I was going to find any profitable results for this EA on these two pairs. This meant going back to a meticulous analysis of the currency pairs and the way in which the medium and long term trends develop within them. After spending a few days working on this I finally realized that the key was to rely on breakouts of more volatile sessions but aiming at much higher take profit and stop loss targets. The idea was that this large breakouts do allow us to predict long term trend direction with a good statistical edge in the long term.

Backtesting results were indeed very encouraging showing me that my analysis had been right. When you exploit this different and larger breakouts on the AUD/USD and the NZD/USD, you obtain some very profitable results which are achieved as the EA is able to follow long term trends through the periodical entering of this large session breakouts. The effect resembles the accumulation technique used by the turtle trading system, allowing us to follow a trend and greatly profit from its long term direction. Below you can see a picture of how this trading works on the NZD/USD, notice how the EA got a lot of profit from a developing trend.
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The 10 year backtesting results also give us great results for both of these currency pairs. We arrive at results which have average compounded yearly profit to maximum draw down targets better than Watukushay FE and the same as Teyacanani on the EUR/USD in the case of the NZD/USD. Surprisingly, the best trading results for this EA have been found on the NZD/USD, showing us the robustness of this strategy as a portfolio solution. The EA shows us its robustness and its ability to exploit two completely different market inefficiencies based on the same trading mechanics but aiming for entirely different things.
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Later today 3 live accounts with real money will be added to Asirikuy to start the testing of the system on the USD/CHF, NZD/USD and a full portfolio setup. Hopefully within the next year we will be able to gather some very useful information about its trading system, its tactics and its ability to tackle changing market conditions. The ability of this EA to adapt to each particular market situation and its very large set of adaptive parameters will probably lead it to succeed in this quest against market changes.

If you would like to learn more about automated trading and how you too can develop your own likely long term profitable systems please consider buying my ebook on automated trading or joining Asirikuy to receive all ebook purchase benefits, weekly updates, check the live accounts I am running with several expert advisors and get in the road towards long term success in the forex market using automated trading systems. I hope you enjoyed the article !

Diposting oleh Unknown 23.01 0 komentar

The Metatrader 5 Series When Huge Backtesting Differences Appear

If you look at my last few weeks of posts I have been very excited about the new qualities of the Metatrader 5 trading platform and the benefits it brings to system development regarding faster execution, faster optimization and added flexibility. Using my prototype implementation of Watukushay FE I analyzed trading over several different instruments and I finally came up with the "starting point" of intra-currency trading for this well-known freely available trading machine. This week I decided to do a small experiment and compare my results of Watukushay FE for the AUD/USD on Metatrader 5 with those found out with Metatrader 4 and the results found were extremely surprising. On todays post I want to talk about my findings, the possible causes of the issues found and what I will be doing to investigate the nature of this problem and what solutions can be implemented to deal with it.

During the first post comparing Metatrader 4 with 5 and the backtesting results of Watukushay FE we already saw a small yet noticeable difference between the testing results obtained on both trading platforms. I talked about the possibility of these errors being feed-related and the fact that the Metatrader 5 history feed might be more reliable since it has been "remastered and fixed" for this new platform. However the difference was small and therefore there was no substantial issue besides an anecdotical note pointing out this curious fact.

However when I decided to run the initial AUD/USD tests on Metatrader 4 to compare the results I obtained with Metatrader 5 the difference changed from "noticeable" to "abismal". The pictures below show you the results for MT5 and MT4 using the exact same settings on the AUD/USD currency pair backtest from 2000 to 2010. The overall equity curve is very different and the results do point out that something is substantially very changed between the historical feeds of MT4 and MT5. I first thought that the difference would be due to the presence of Sunday candles but this turned out to be false since the MT5 feed doesnt have any of them, so regarding this aspect it is the same as MT4. I then thought about the possibility that the whole difference is caused by important changes in data prior to 2006 (before metatrader 4 was launched) and the fact is that data differences are NOT limited to pre 2006 periods, the whole historical feed is different between both trading stations and meaningful differences are present. If you analyze the results youll notice that almost all candles have different - if only very slightly - high/low/open/close values pointing out that RSI and ATR values will be very different. The change in one minute interpolation mechanisms is also not likely a factor here as Watukushay FE strictly controls bar opening on both its MQL4 and MQL5 implementations.
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What causes such a dramatic change in profitability ? To get to the bottom of this problem I decided to strip down the logic to its simplest form and eliminate the closing logic of the EA, leaving only the entry rules. This shows us that there is still some difference between backtesting results (shown below). This means that differences in results are caused by differences in the RSI and ATR indicator calculations which are dependent on each backtests particular historical feed. Stripping down the logic does reveal that most dependency is located before 2002 with results beyond this date being in better agreement. However there is still some dependency which is caused by differences in data between both historical sets beyond this period.
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Since we simply cannot know for sure which of the two historical data selections is better - and they are probably both valid within normal broker differences (with the 2000-2002 data being very different probably due to differences between feeds in this period) - it becomes a wise decision to run backtests on both and trust the less profitable results to calculate profit and draw down targets. In some cases like the EUR/USD backtests this proves to be trivial but on others like the one I showed you today doing this mixed analysis proves to be extremely important. I will email the people at metaquotes to get some information about the different nature of the feeds and I will let you know once I have more information about their origin. However up until now all backtests of Watukushay FE seem to be more profitable on MT5 (meaning that our MT4 simulations are in fact the worst case scenario). Investigating other issues which may be related with the closing mechanism of orders in MT5 is also something I am currenlty doing since I have seen that the differences when the closing logic is enabled seem to have other strong causes besides simple feed dependency (more on this on a later post !).

If you would like to learn more about automated trading, the evaluation of expert advisors and the programming of your own strategies please consider buying my ebook on automated trading or joining Asirikuy to receive all ebook purchase benefits, weekly updates, check the live accounts I am running with several expert advisors and get in the road towards long term success in the forex market using automated trading systems. I hope you enjoyed the article !

Diposting oleh Unknown 16.31 0 komentar