Hello Folks - here’s more update on the Alpha Expert Advisor( the Alpha EA). As of my last post, I was working on putting in more risk and money management into the Alpha EA. Many readers had expressed interest in the EA. I wanted to add some of the risk management features before I could comment on it. It took me a while to put in the features and removing the bugs. Now I am on to version 1.59 (the version from my last post was 1.1) – and most of the features seem to be working as intended. Version 1.1 had caught a 100 pips since the last post. However the forward testing got interrupted due to server issues. I got them fixed last week.
I have just started forward testing this version on the EURGBP pair. I am interested in the British Pound pairs because the British economy is having a particularly tough time. Overall, I feel that there are going to be quite a few trends in the currency markets because of injection of funds ($,€, Yen, yuan) into the IMF and using that to bailout flailing economies. Today the British economy is looking for an IMF bailout. As these large scale movements of currencies continue, the currency markets are going to show nice waves and wavelets as each movement settles down. I expect this to continue until the energy markets start showing some life, or the major economies get stabilized, whichever happens earlier.
In the meantime, here are the results of some my backtests for the latest version of the Alpha EA, run since the beginning of 2009. I found the EUR/GBP pair quite responsive to this EA, particularly in the H4 timeframe. It gave 96% return since the beginning of the year. I like the lower drawdowns and the high win rates. No more than 5% of the initial account is risked on each trade.
| Symbol | EURGBP (Euro vs Great Britain Pound ) | ||||
| Period | 4 Hours (H4) 2009.01.01 20:00 - 2009.04.10 16:00 (2009.01.01 - 2009.04.11) | ||||
| Initial deposit |
10000.00 |
||||
| Total net profit |
9663.80 |
Gross profit |
16442.89 |
Gross loss |
-6779.08 |
| Profit factor |
2.43 |
Expected payoff |
107.38 |
||
| Absolute DD |
295.08 |
Maximal drawdown |
2848.84 (16.07%) |
Relative drawdown |
16.07% (2848.84) |
| Total trades |
90 |
Short positions (won %) |
58 (79.31%) |
Long positions (won %) |
32 (75.00%) |
| Profit trades (% of total) |
70 (77.78%) |
Loss trades (% of total) |
20 (22.22%) |
||
| Largest | profit trade |
2742.34 |
loss trade |
-374.37 |
|
| Average | profit trade |
234.90 |
loss trade |
-338.95 |
|
| Maximum | consecutive wins (profit in money) |
16 (4764.85) |
consecutive losses (loss in money) |
4 (-1492.83) |
|
| Maximal | consecutive profit (count of wins) |
4764.85 (16) |
consecutive loss (count of losses) |
-1492.83 (4) |
|
| Average | consecutive wins |
7 |
consecutive losses |
2 |
|

The GBPUSD pair backtest also showed a 90% return over the 1st quarter of the year. Here trading on the 1 Hour timeframe gave better results. Here too, I limited the risk on each trade to 5% or less of the account. The four hour timeframe on GBPUSD, though profitable, was giving more losses. Since the GBPUSD moves faster, I think the 1 hour timeframe catches the swings faster.
| Symbol | GBPUSD (Great Britain Pound vs US Dollar) | ||||
| Period | 1 Hour (H1) 2009.01.02 05:00 - 2009.04.10 19:00 (2009.01.01 - 2009.04.11) | ||||
| Initial deposit |
10000.00 |
||||
| Total net profit |
8928.43 |
Gross profit |
29223.98 |
Gross loss |
-20295.55 |
| Profit factor |
1.44 |
Expected payoff |
23.01 |
||
| Absolute drawdown |
1907.70 |
Maximal drawdown |
2832.48 (22.11%) |
Relative drawdown |
22.11% (2832.48) |
| Total trades |
388 |
Short positions (won %) |
179 (71.51%) |
Long positions (won %) |
209 (77.99%) |
| Profit trades (% of total) |
291 (75.00%) |
Loss trades (% of total) |
97 (25.00%) |
||
| Largest | profit trade |
1340.00 |
loss trade |
-252.50 |
|
| Average | profit trade |
100.43 |
loss trade |
-209.23 |
|
| Maximum | consecutive wins (profit in money) |
36 (3287.21) |
consecutive losses (loss in money) |
7 (-1543.36) |
|
| Maximal | consecutive profit (count of wins) |
3287.21 (36) |
consecutive loss (count of losses) |
-1543.36 (7) |
|
| Average | consecutive wins |
8 |
consecutive losses |
3 |
|

These tests are done on data from a standard account on the Interbank FX platform with 90% modeling quality. I am also testing it on the FXCM platform with straight through processing, and I should be able to share them in my next post. In the meantime, I am planning on adding a feature that manages partial fill conditions on the Alpha EA, since Metatrader currently lacks partial fills for large lot orders. I would be interested in your opinion on that. Feel free to respond here or email me at shaltrade@gmail.com
Disclaimer: Posts on this blog, including the current one, are for education purposes only. Nothing in this presentation is a recommendation to buy or sell currencies and I, the author of this blog, am not liable for any loss or damage, including without limitation, any loss of profit which may arise directly or indirectly from the use of mentioned tools or reliance on such information. Trading in the off exchange retail foreign currency market is one of the riskiest forms of investments available in the financial markets and suitable for sophisticated individuals and institutions. The possibility exists that you could sustain a substantial loss of funds and therefore you should not invest money that you cannot afford to lose










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