Tradewar Evenpro v1.2 Expert Advisor
Thursday, April 21, 2016
Gold trading strategy release July 29 (updated) update ~ forex trading alerts
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Update gold trading strategy new :
Sell limit: 1317-1319 USD/oz
Stop loss: 1324.30
Take Profit: 1305.50 - 1302.50
forex trading alerts
Sell limit: 1317-1319 USD/oz
Stop loss: 1324.30
Take Profit: 1305.50 - 1302.50
forex trading alerts
Wednesday, April 20, 2016
Monday, April 4, 2016
important update ~ forex trading ocean sky
0
clients,
This strategy we are using is making many of you wonder. It has lost a lot over the past week. I will continue to trade it but I am in the process of looking for intra-day opportunities for you as well. In the best interest of you and I, I have decided to discontinue payments for you. I will still send out signals via twitter but will not charge you for them for now. The reason behind this is that I want my strategies to speak for themselves over the long run. Keep trading demo and watch as the profits erase the losses over time.
Now I posted a link to trend following equity curves on our facebook group. I urge you to read it and you will better understand what I am doing. S until further notice, you will receive the signals for free and as the days and weeks pass, and as the profits begin to mount again, you will have confidence in the strategy.
So I will see you all tomorrow! Thank you
forex trading ocean sky
This strategy we are using is making many of you wonder. It has lost a lot over the past week. I will continue to trade it but I am in the process of looking for intra-day opportunities for you as well. In the best interest of you and I, I have decided to discontinue payments for you. I will still send out signals via twitter but will not charge you for them for now. The reason behind this is that I want my strategies to speak for themselves over the long run. Keep trading demo and watch as the profits erase the losses over time.
Now I posted a link to trend following equity curves on our facebook group. I urge you to read it and you will better understand what I am doing. S until further notice, you will receive the signals for free and as the days and weeks pass, and as the profits begin to mount again, you will have confidence in the strategy.
So I will see you all tomorrow! Thank you
forex trading ocean sky
Saturday, March 26, 2016
Update No Loss Multipairs Trading Strategy Live Proof Result ~ forex trading made ez
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Best Forex Trading Strategy Live Proof
2015 Best Forex Strategy Performance Live Video Result. This Strategy Always Profitable.Your Search is Now End. Best place for your Business. Best Trading Strategy for ever.
Simply Open Orders And Close in Profit When you want.
Suitable for Long term and short term trading capability
In the forex market,There is no need to give a lot of time
After watching this video.
Direct Video Link: Part2 : https://www.youtube.com/watch?v=NDNAwk3Y2WE
Previous Result Part 1: https://www.youtube.com/watch?v=CiL0ozfIVM4
Facebook Video Link: https://www.facebook.com/fxtradewar/videos/1632522050334706/
If you have any doubt about this result. You can ask any question. Feel Free To contact us any time.
Watch On Facebook:
Forex Trading Multipairs No loss strategy Update Live Proof Re...
Finally just i want to say only one thing.
This System is really Profitable without any doubt without any risk. without losing your money.
This is my Guarantee. 100% Satisfaction.
Price : 250$
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Email : instaforexreal@gmail.com
Skype : Geynstuff
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Thursday, March 24, 2016
Evaluating Trading Systems Characteristics and Quality ~ forex trading games online
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The evaluation of trading strategies is certainly one of the most necessary processes in the trading of mechanical manual or automated systems. The value of evaluation is great since it allows traders to loose their irrational fear and greed emotions and gain a true understanding about the characteristics of the trading system they intend to trade. Part of the evaluation of trading systems involves the judging of different quality parameters to distinguish what makes a system better and what makes it worse, a process which although seemingly intuitive is not so straightforward. Adequate knowledge about the information pertaining to each parameter of the test and what it conveys the user is necessary to know what its consequences actually are in real trading and what their power is from a comparative standpoint. On todays post I am going to talk about how to look at a systems characteristics and what you should be looking for to judge the quality of a given strategy.
New traders are often confused when it comes to the evaluation of trading strategies something which is not surprising if you take into account the whole amount of information which can be derived for a given system. People new to trading first seem to focus on the absolute values of the profit and maximum draw down percentages but judging the quality of a trading system merely by looking at these two values without prior experience is very hard. It is also true that judging a system just through one of these two values is misleading in the sense that it doesnt represent a good overall picture of the strategys characteristics. For example, saying that a system makes 100% a year does not make any sense if the actual potential draw down is not known and even if it is, other characteristics need to be taken into account.
The most simple way to compare a trading system to another effectively is to use ratios of profit and draw down variables. The profit factor, which compares the gross profit against the gross losses of a strategy is an initial measure of system quality. However, although this type of ratios do give us some information about the past risk to reward long term expectation (especially when evaluated over 10 year periods) they do not talk a lot about the problems the strategy would run into with increases in future risk. For this reason I believe that although these ratios are useful to some extent to compare simulations they do not fully represent the inherent market exposure of the system in a way in which a true comparison is made.
System quality - without a doubt - needs to include an analysis of increases in risk over the projected values achieved in simulations to know the true problems that the user may be running into if - for example - risk in the future increases or the estimation of profit and draw down targets is not accurate. For this reason it seems better to evaluate strategies based on projections of increased risk to know the true quality of the system and how dependent it may be on small glitches in simulations.
In this case our best shot at accurate quality comparisons seems to be the average compounded yearly profit to worst case scenario ratio in which the average yearly profit (over a 10 year period) is compared to twice the maximum draw down of the strategy (worst case ratio). To add more meaning to this increased risk comparison a careful user might also want to test the average compounded yearly profit to double consecutive loses after maximum draw down ratio (worst streak ratio). In this ratio, the average compounded yearly profit is compared to the maximum draw down percentage plus a string of loses equal to twice the number of maximum consecutive losing trades. The idea here is to get an idea about the robustness of the strategy and how bad things can turn before a bad scenario is bound to happen.
Systems that are very sensitive to small changes in the number of consecutive loses will give very unfavorable ratios in both cases while systems that have less dependency on individual trades will get better results. This way of evaluating strategies eliminates by default a lot of systems that use unsound trading tactics such as martingales and systems with very bad risk to reward ratios due to the fact that this ratio comparison makes them show their flaws if increases in risk are presented. One thing all traders should understand is that in the future the risk of any given strategy is bound to increase to some extent and having systems that are able to handle this risk increase is not only vital but necessary for successful long term trading.
The above evaluation criteria also allows you to use systems that dont need to wipe accounts to demonstrate that the market has become too risky for them. For example, a strategy with a worst case ratio of 1:2 targeting a 20% yearly profit may be stopped from trading at a 40% draw down while a system that has a 1:5 ratio in the same situation would end up killing the account before we realize it has become to risky. It is also important here to note that sound systems will have a "worst case ratio" better or only slightly worse than their "worst streak ratio" while systems that use unsound techniques -which will be sensitive to small increases in consecutive loses - will have a much worse "worst streak ratio".
In summary my advice is that you focus on the profit to draw down ratios when evaluating trading strategies but -most importantly - that you evaluate ratios in which the maximum draw down and maximum number of consecutive loses are increased so that you get a true idea about your systems robustness. If you would like to learn more about automated trading and how you too can start designing 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 !
New traders are often confused when it comes to the evaluation of trading strategies something which is not surprising if you take into account the whole amount of information which can be derived for a given system. People new to trading first seem to focus on the absolute values of the profit and maximum draw down percentages but judging the quality of a trading system merely by looking at these two values without prior experience is very hard. It is also true that judging a system just through one of these two values is misleading in the sense that it doesnt represent a good overall picture of the strategys characteristics. For example, saying that a system makes 100% a year does not make any sense if the actual potential draw down is not known and even if it is, other characteristics need to be taken into account.
The most simple way to compare a trading system to another effectively is to use ratios of profit and draw down variables. The profit factor, which compares the gross profit against the gross losses of a strategy is an initial measure of system quality. However, although this type of ratios do give us some information about the past risk to reward long term expectation (especially when evaluated over 10 year periods) they do not talk a lot about the problems the strategy would run into with increases in future risk. For this reason I believe that although these ratios are useful to some extent to compare simulations they do not fully represent the inherent market exposure of the system in a way in which a true comparison is made.
System quality - without a doubt - needs to include an analysis of increases in risk over the projected values achieved in simulations to know the true problems that the user may be running into if - for example - risk in the future increases or the estimation of profit and draw down targets is not accurate. For this reason it seems better to evaluate strategies based on projections of increased risk to know the true quality of the system and how dependent it may be on small glitches in simulations.
In this case our best shot at accurate quality comparisons seems to be the average compounded yearly profit to worst case scenario ratio in which the average yearly profit (over a 10 year period) is compared to twice the maximum draw down of the strategy (worst case ratio). To add more meaning to this increased risk comparison a careful user might also want to test the average compounded yearly profit to double consecutive loses after maximum draw down ratio (worst streak ratio). In this ratio, the average compounded yearly profit is compared to the maximum draw down percentage plus a string of loses equal to twice the number of maximum consecutive losing trades. The idea here is to get an idea about the robustness of the strategy and how bad things can turn before a bad scenario is bound to happen.
Systems that are very sensitive to small changes in the number of consecutive loses will give very unfavorable ratios in both cases while systems that have less dependency on individual trades will get better results. This way of evaluating strategies eliminates by default a lot of systems that use unsound trading tactics such as martingales and systems with very bad risk to reward ratios due to the fact that this ratio comparison makes them show their flaws if increases in risk are presented. One thing all traders should understand is that in the future the risk of any given strategy is bound to increase to some extent and having systems that are able to handle this risk increase is not only vital but necessary for successful long term trading.
The above evaluation criteria also allows you to use systems that dont need to wipe accounts to demonstrate that the market has become too risky for them. For example, a strategy with a worst case ratio of 1:2 targeting a 20% yearly profit may be stopped from trading at a 40% draw down while a system that has a 1:5 ratio in the same situation would end up killing the account before we realize it has become to risky. It is also important here to note that sound systems will have a "worst case ratio" better or only slightly worse than their "worst streak ratio" while systems that use unsound techniques -which will be sensitive to small increases in consecutive loses - will have a much worse "worst streak ratio".
In summary my advice is that you focus on the profit to draw down ratios when evaluating trading strategies but -most importantly - that you evaluate ratios in which the maximum draw down and maximum number of consecutive loses are increased so that you get a true idea about your systems robustness. If you would like to learn more about automated trading and how you too can start designing 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 !
forex trading games online
