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Dogpile

A Mechanical Strategy Journal

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correct... while the absolute values of the continuous contract may not match old contracts ( due to shifting up of all old contract values at rollover, when spliced to new contract), the difference between entry and exit ( P/L) should be the same.

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nickm, could you comment on this:

 

I show the Russell contract in 2002 trading under 1400 contracts per day. (ie er2h06)... and under 10,000 contracts per day in 2003 (ie er2h03).... 2002 had good 'range' as the market was in freefall but 2003 & 2004 show about 1/2 the range (ATR) of that achieved by the completed Sep 2007 contract (15 pts vs 6-8 pts)... tick values are the same so todays contract is quite juicy compared to just 5 years ago. pretty amazing. in you opinion, is it valid to use strategy results from 2002 when the market dynamics (virtually non-existent volume and 'dollar value range') were so different?

 

seems to me like growth of futures contracts traded changes the futures market quite fundamentally. you simply couldn't have many traders operating with only 1400 contracts traded per day to work with.

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Low volume will impact RT trading ( slippage), but as far as strategy testing, there is no impact.

Range should be considered as relative range. I usually "normalize" the range results by dividing range with value of the contract. For daytrading, I would use range as metric, not ATR. ATR is important only if you are holding overnight. In 2002 the peak range was in July ( ~16) and contract traded at ~400. This year peak range was 24, but contract is trading at 800 level, so the range actually has contracted.

 

For testing strategy, you need as many different market condition as possible.. Proper testing , optimization and walk forward testing ( the only real testing) is pretty complex process. If you have access to TS forum, there is tone of stuff on that subject.

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New Order Triggered

 

Long 1 RUS 788.30

 

-----

Existing Positions:

Short 1 ES

Short 1 NQ

Long 1 ER2

 

(will try to follow this for all 3 contracts)

 

in looking at historicals --- the time this strategy gets nailed is when it is short into a relentless multi-day climb like 6-8 straight up days. even including those, the performance has been quite good -- but you have to be able to stomach some occassionally serious drawdowns.

5aa70e041e6c0_RUSOrder2091807.thumb.png.c68bb46943623a4618c213cc77bada30.png

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End of a wild day update.

 

We are buried in ES but this is offset by NQ net gain, and RUS is absolutely nuts.

 

How our account stands on paper at todays close:

ES -568.75

NQ +670 (net gain including 1 unprofitable short and the todays paper gain)

ER2 +2,080 (entered 788.30 today and it closed 813.80 - paper gain of +$2,550, less the -$470 loss on initial short)

 

Net Standing as head into tomorrow:

+2,181.25

--------------

Outstanding positions:

Short 1 ESZ07

Long 2 NQZ07

Long 1 ER2Z07

--------------

(note, since NQ is only $20 per point, assume using 2 NQ contracts vs 1 each for ES and ER2)...

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I am using the minimum -- 6 bars -- since it only needs to reference the highest high and lowest low of last 5 bars. yah, I added the volume code just to only create signals on an active contract.

 

another way to cross-check it is do it is to confirm it using the ETFs since they don't rollover (SPY, QQQQ, IWM) and the futures are based on these ETF's as the underlying.

 

Range expansion off opening price seems to be very valid idea for the long side. The short-side is tougher -- it is profitable and adds to returns but you can take a ton of heat along the way -- this could be because in a multi-year bull market -- or have something to do with just market dynamics where market falls fast and rises in relentless fashion (take a lot of pain but rewarded occassionally in a big way on short side).

 

Breaking down the strategy results you can see the effect the short-side drawdowns have on the overall result. It is still profitable but painful at times.

5aa70e0475ca4_IWMEquityCurveLongOnlythru09107.jpg.a1c4d77ba39f304c81a5e88ec8adc865.jpg

5aa70e047b1f0_IWMEquityCurveShortOnlythru091807.jpg.08637be514889c1bb4e6e6afa69fb558.jpg

5aa70e047fffa_IWMEquityCurvethru091807.png.126685f5385b5e57bba14081e2e574e7.png

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<<That's a good way to operate if you can cut losses in the trends.>>

 

waveslide, I can see in the strategy orders that some of the orders fly right in the face of a few core principles I abide by. ie, tomorrow, it looks like we will very likely get short based on the strategy rules. I would not want to get short BELOW the opening price given the set-up going in. Above the open might be a short tomorrow -- but I do not want to short on weakness with all the likely residual momentum in the market. I have noticed this type of order --- in the face of a potential breakaway gap --- being a problem for this strategy. So already I can see that this short-strategy as it is written just isn't right for me. Perhaps I will only take the longs and rely on my own existing short-scalp strategies to make money on the short side.

 

The long-side strategy looks good. I actually went long RUS today and thought of keeping 1 on in line with this strategy. I wimped out and scratched the order -- big mistake.

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Plugged formula into a 'ShowMe' function in Tradestation Radarscreen to automate the calculations and can post them after the opening price prints.

 

Today we will get 'sell-long and go-short' signals at the following prices:

 

NQZ07.D Short 4 Contracts on Sell-Stop @ 2066.75

ER2Z07.D Short 2 Contract on Sell-Stop @ 819.90

 

note:

ESZ07.D - Already short and no buy signal can trigger today

 

(since already long, the NQ and ER2 trades are actually 'Stop And Reverse' trades whereby you would short 4 NQ and 2 ER2 -- first to sell long, then to go short)

-------------

 

I really don't like these potential short orders -- not to say there isn't downside, there will likely be a good flush down today or tomorrow... -- its just that we have no prospect of covering these orders until we close low in the 5-day range -- which won't be for a while most likely --- seems like a tough trade but I will follow them here anyway. Meanshile, I will be working and thinking on some filters for the short-side code. Have a couple of ideas -- need to work out the code for them.

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FWIW, though there is a lot of emotion in the market right now, there is a good case for calling this market a ranging one. For one, the major down move in August retraced the entire up leg that Mar-July achieved.

This is the kind of thing the system doesn't see - it is stupid, it just does the same thing over and over again. Still it makes money! That's because it is often doing the contrarian action. Contrarian actions make money, but it takes balls to be a contrarian - and you have to have a good strategy.

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"The book uses a 9-day range for its triggers. I prefer a 5-day range."

 

Why 5? The nine looks smoother. Coincidentally, Gann and Demark seem attracted to the number nine (the beatles too).

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why a 5?

 

good question. I feel like a 5-day buy system will catch those hard 1-2 day pullback sell-flushes that occur during an uptrend.

 

5 is a fib number. I played around with 8 too (another fib number).

 

9-days works well too. 5 works well. 8 works well. the concept is just plain powerful on the long side (range expansion off opening price).

 

my preference on looking at all of them was that following the 5-day lines up best with my existing strategies. My current strategies are all about 'going-with' the intraday trend but being more careful if it coincides with a 'daily trend'. I believe in choppy markets if looking at them on a 2-4 day basis... but those 6-8 day consecutive moves do happen so I have built-in rules so I don't get run-over when those do occur.

 

the strategy just needs the recent close to be closer to the bottom of the range than the top of the range -- so it fits in with my 3-5 day buying/selling cycle thesis. it doesn't have to make a 5-day low or high, it just has to be closer to that side.

 

I am just trialing the 5-day --- I have also thought about doing some combination like:

long 9-day ES

long 8-day NQ

long 5-day ER2

 

and leaving the short-selling to my own scalping -- I do extremely well on the short side as is...

 

your comments are greatly appreciated.

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well, new short orders triggered (NQ & ER2) so short everything now... tough location IMO to short but I will see this through...

 

Existing:

Short 1 ESZ07.D

Short 2 NQZ07.D

Short 1 ER2Z07.D

5aa70e0505d7c_Sep19StrategyOrders.thumb.png.207762bd6fabe9af31da6d253bc5c50d.png

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The shorts triggered today always struggled. Too many short coverers and wannabe longs providing bidside support into the partial fill of today's opening gap.

 

Curious, are you paper trading these or actual $$?

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I do not live trade this strategy yet... I am in study mode on this one. I am working out the mechanics of it while I also have to get used to the pain it often brings in the short-run. Mechanical trading is a lot mental -- as pointed out in Art Collins book. Good systems work but traders heads can screw them up. I may get started on a few shares of IWM/SPY/QQQQ just to have a little skin in the game and start to get used to the swings.

 

I am also working on enhancements. ie, I converted the code to intraday charts and going to see if I can improve results by using closing VWAP rather than closing price in the set-up. I also have idea around using 'weekly MACD histogram' as a filter to help screen out some short trades. finally, something calendar-based might add some value given the tendency of hard corrections to occur between May and September. ie, if weekly MACD histogram has not been below zero in 6+ months then turn short-sale strategy on and turn it off when weekly histogram turns up. Or, turn on short-sale strategy if haven't touched lower daily -2.5 keltner channel in 13 weeks and turn it off 8 weeks later.... something like that.

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Update:

 

Yesterdays short entries looking better as of today -- but a long way to go before a long trigger is possible. Close will have to be in bottom 1/2 of 5-day range to potentially get a long entry (no orders possible for tomorrow since we are already short and todays close was high in the 5-day range).

 

Status: Realized + paper gain(loss) as of todays close

 

ES: -43.25 pts = -540.63 (1 ES contract per order)

NQ: +32.75 pts = +1310.00 (2 NQ contracts per oder)

ER2: +30.70 pts = +3070.00 (1 ER2 contract per order)

 

Net: +$3,839.38

 

Existing positions:

Short 1 ES

Short 2 NQ

Short 1 ER2

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uh, no I am confused... was doing it x 12.50 (tick) rather than $50.00 (point)... will update

 

too caught up in details, trees for the forest thing.... you know what I mean

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got a buy signal on RUS today at 818.40.

will get buy signal on ES today if touches 1543.50.

 

I have done a lot of studying and created some new strategies based on the same underlying principle here which I will be trading in a real account starting 10/1. I have 2 filters and set some limit orders to exit trades which greatly increases the expectancy. Also, I will only be trading the long side with this strategy. For the short-side, I will rely on my primary trading account to make money there. I just don't think this concept is valid for the short-side -- or I should say, it is less valid on the short-side and there are better strategies for the short-side. For the long-side, 'range expansion off of opening price' is awesome. I have my own concepts which I believe in for the short-side, which I will trade on a discretionary basis. Thus, I am going to stop this thread here as I have changed the strategies and this forum has served its purpose for me.

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Certain strategies and trading techniques tend to produce high winning percentages as we saw with real trader data. If this is the case, it is possible to use a lower reward/risk ratio—such as between 1:1 and 2:1. For lower probability trading, a higher reward/risk ratio is recommended, such as 2:1, 3:1, or even 4:1. Remember, the higher the reward/risk ratio you choose, the less often you need to correctly predict market direction in order to make money trading. We will discuss different trading techniques in further detail in subsequent installments of this series. Stick to Your Plan: Use Stops and Limits Once you have a trading plan that uses a proper reward/risk ratio, the next challenge is to stick to the plan. Remember, it is natural for humans to want to hold on to losses and take profits early, but it makes for bad trading. We must overcome this natural tendency and remove our emotions from trading. The best way to do this is to set up your trade with Stop-Loss and Limit orders from the beginning. This will allow you to use the proper reward/risk ratio (1:1 or higher) from the outset, and to stick to it. Once you set them, don’t touch them (One exception: you can move your stop in your favor to lock in profits as the market moves in your favor). Managing your risk in this way is a part of what many traders call “money management”. Many of the most successful forex traders are right about the market’s direction less than half the time. Since they practice good money management, they cut their losses quickly and let their profits run, so they are still profitable in their overall trading. Does Using 1:1 Reward to Risk Really Work? Our data certainly suggest it does. We use our data on our top 15 currency pairs to determine which trader accounts closed their Average Gain at least as large as their Average Loss—or a minimum Reward:Risk of 1:1. Were traders ultimately profitable if they stuck to this rule? Past performance is not indicative of future results, but the results certainly support it. Our data shows that 53 percent of all accounts which operated on at least a 1:1 Reward to Risk ratio turned a net-profit in our 12-month sample period. Those under 1:1? A mere 17 percent. Traders who adhered to this rule were 3 times more likely to turn a profit over the course of these 12 months—a substantial difference. Data source: Derived from data from a major FX broker* across 15 most traded currency pairs from 3/1/2014 to 3/31/2015. Game Plan: What Strategy Can I Use? Trade forex with stops and limits set to a risk/reward ratio of 1:1 or higher Whenever you place a trade, make sure that you use a stop-loss order. Always make sure that your profit target is at least as far away from your entry price as your stop-loss is. You can certainly set your price target higher, and probably should aim for at least 1:1 regardless of strategy, potentially 2:1 or more in certain circumstances. Then you can choose the market direction correctly only half the time and still make money in your account. The actual distance you place your stops and limits will depend on the conditions in the market at the time, such as volatility, currency pair, and where you see support and resistance. You can apply the same reward/risk ratio to any trade. If you have a stop level 40 pips away from entry, you should have a profit target 40 pips or more away. If you have a stop level 500 pips away, your profit target should be at least 500 pips away. We will use this as a basis for further study on real trader behavior as we look to uncover the traits of successful traders. *Data is drawn from FXCM Inc. accounts excluding Eligible Contract Participants, Clearing Accounts, Hong Kong, and Japan subsidiaries from 3/1/2014 to 3/31/2015. Interested in developing your own strategy? On page 2 of our Building Confidence in Trading Guide, we help you identify your trading style and create your own trading plan. Why Do Many Forex Traders Lose Money? Here is the Number 1 Mistake David Rodriguez 11-14 minutes We look through 43 million real trades to measure trader performance Majority of trades are successful and yet traders are losing Reward to Risk ratios play a vital role in capital preservation Why do major currency moves bring increased trader losses? To find out, the DailyFX research team has looked through over 40 million real trades placed via a major FX broker's trading platforms. In this article, we look at the biggest mistake that forex traders make, and a way to trade appropriately. Why Does the Average Forex Trader Lose Money? The average forex trader loses money, which is in itself a very discouraging fact. But why? Put simply, human psychology makes trading difficult. We looked at over 43 million real trades placed on a major FX broker's trading servers from Q2, 2014 – Q1, 2015 and came to some very interesting conclusions. The first is encouraging: traders make money most of the time as over 50% of trades are closed out at a gain. Percent of All Trades Closed Out at a Gain and Loss per Currency Pair     Data source: Derived from data from a major FX broker* across 15 most traded currency pairs from 3/1/2014 to 3/31/2015. The above chart shows results of over 43 million trades conducted by these traders worldwide from Q2, 2014 through Q1, 2015 across the 15 most popular currency pairs. The blue bar shows the percentage of trades that ended with a profit for the trader. Red shows the percentage of trades that ended in loss. For example, the Euro saw an impressive 61% of all trades closed out at a gain. And indeed every single one of these instruments saw the majority of traders turned a profit more than 50 percent of the time. If traders were right more than half of the time, why did most lose money? Average Profit/Loss per Winning and Losing Trades per Currency Pair Data source: Derived from data from a major FX broker* across 15 most traded currency pairs from 3/1/2014 to 3/31/2015. The above chart says it all. In blue, it shows the average number of pips traders earned on profitable trades. In red, it shows the average number of pips lost in losing trades. We can now clearly see why traders lose money despite being right more than half the time. They lose more money on their losing trades than they make on their winning trades. Let’s use EUR/USD as an example. We see that EUR/USD trades were closed out at a profit 61% of the time, but the average losing trade was worth 83 pips while the average winner was only 48 pips. Traders were correct more than half the time, but they lost over 70% more on their losing trades as they won on winning trades. The track record for the volatile GBP/USD pair was even worse. Traders captured profits on 59% of all GBP/USD trades. Yet they overall lost money as they turned an average 43 pip profit on each winner and lost 83 pips on losing trades. What gives? Identifying that there is a problem is important in itself, but we’ll need to understand the reasons behind it in order to look for a solution. Cut Losses, Let Profits Run – Why is this So Difficult to Do? In our study we saw that traders were very good at identifying profitable trading opportunities--closing trades out at a profit over 50 percent of the time. They utlimately lost, however, as the average loss far outweighed the gain. Open nearly any book on trading and the advice is the same: cut your losses early and let your profits run. When your trade goes against you, close it out. Take the small loss and then try again later, if appropriate. It is better to take a small loss early than a big loss later. If a trade is in your favor, let it run. It is often tempting to close out at a small gain in order to protect profits, but oftentimes we see that patience can result in greater gains. But if the solution is so simple, why is the issue so common? The simple answer: human nature. In fact this is not at all limited to trading. To further illustrate the point we draw on significant findings in psychology. A Simple Wager – Understanding Human Behavior Towards Winning and Losing What if I offered you a simple wager on a coin flip? You have two choices. Choice A means you have a 50% chance of winning 1000 dollars and 50% chance of winning nothing. Choice B is a flat 450 point gain. Which would you choose?         Expected Return Gains Choice A 50% chance to Win 1000 50% chance to Win 0 Expect to win $500 over time   Choice B Win 450   Win $450 Over time it makes sense to take Choice A—the expected gain of $500 is greater than the fixed $450. Yet many studies have shown that most people will consistently choose Choice B. Let’s flip the wager and run it again.         Expected Return Losses Choice A 50% chance to Lose 1000 50% chance to Lose 0 Expect to lose $500 over time   Choice B Lose 450   Lose $450 In this case we can expect to lose less money via Choice B, but in fact studies have shown that the majority of people will pick choice A every single time. Here we see the issue. Most people avoid risk when it comes to taking profits but then actively seek it if it means avoiding a loss. Why? Losses Hurt Psychologically far more than Gains Give Pleasure – Prospect Theory Nobel prize-winning clinical psychologist Daniel Kahneman based on his research on decision making. His work wasn’t on trading per se but clear implications for trade management and is quite relevant to FX trading. His study on Prospect Theory attempted to model and predict choices people would make between scenarios involving known risks and rewards. The findings showed something remarkably simple yet profound: most people took more pain from losses than pleasure from gains. It feels “good enough” to make $450 versus $500, but accepting a $500 loss hurts too much and many are willing to gamble that the trade turns around. This doesn’t make any sense from a trading perspective—500 dollars lost are equivalent to 500 dollars gained; one is not worth more than the other. Why should we then act so differently? Prospect Theory: Losses Typically Hurt Far More than Gains Give Pleasure Taking a purely rational approach to markets means treating a 50 point gain as morally equivalent to a 50 point loss. Unfortunately our data on real trader behavior suggests that the majority can’t do this. We need to think more systematically to improve our chances at success. Avoid the Common Pitfall Avoiding the loss-making problem described above is very simple in theory: gain more in each winning trade than you give back in each losing trade. But how might we do it concretely? When trading, always follow one simple rule: always seek a bigger reward than the loss you are risking. This is a valuable piece of advice that can be found in almost every trading book. Typically, this is called a “reward/risk ratio”. If you risk losing the same number of pips as you hope to gain, then your reward/risk ratio is 1-to-1 (also written 1:1). If you target a profit of 80 pips with a risk of 40 pips, then you have a 2:1 reward/risk ratio. If you follow this simple rule, you can be right on the direction of only half of your trades and still make money because you will earn more profits on your winning trades than losses on your losing trades. What ratio should you use? It depends on the type of trade you are making. We recommend to always use a minimum 1:1 ratio. That way, if you are right only half the time, you will at least break even. Certain strategies and trading techniques tend to produce high winning percentages as we saw with real trader data. If this is the case, it is possible to use a lower reward/risk ratio—such as between 1:1 and 2:1. For lower probability trading, a higher reward/risk ratio is recommended, such as 2:1, 3:1, or even 4:1. Remember, the higher the reward/risk ratio you choose, the less often you need to correctly predict market direction in order to make money trading. We will discuss different trading techniques in further detail in subsequent installments of this series. Stick to Your Plan: Use Stops and Limits Once you have a trading plan that uses a proper reward/risk ratio, the next challenge is to stick to the plan. Remember, it is natural for humans to want to hold on to losses and take profits early, but it makes for bad trading. We must overcome this natural tendency and remove our emotions from trading. The best way to do this is to set up your trade with Stop-Loss and Limit orders from the beginning. This will allow you to use the proper reward/risk ratio (1:1 or higher) from the outset, and to stick to it. Once you set them, don’t touch them (One exception: you can move your stop in your favor to lock in profits as the market moves in your favor). Managing your risk in this way is a part of what many traders call “money management”. Many of the most successful forex traders are right about the market’s direction less than half the time. Since they practice good money management, they cut their losses quickly and let their profits run, so they are still profitable in their overall trading. Does Using 1:1 Reward to Risk Really Work? Our data certainly suggest it does. We use our data on our top 15 currency pairs to determine which trader accounts closed their Average Gain at least as large as their Average Loss—or a minimum Reward:Risk of 1:1. Were traders ultimately profitable if they stuck to this rule? Past performance is not indicative of future results, but the results certainly support it. Our data shows that 53 percent of all accounts which operated on at least a 1:1 Reward to Risk ratio turned a net-profit in our 12-month sample period. Those under 1:1? A mere 17 percent. Traders who adhered to this rule were 3 times more likely to turn a profit over the course of these 12 months—a substantial difference. Why Do Many Forex Traders Lose Money? Here is the Number 1 Mistake David Rodriguez 11-14 minutes We look through 43 million real trades to measure trader performance Majority of trades are successful and yet traders are losing Reward to Risk ratios play a vital role in capital preservation Why do major currency moves bring increased trader losses? To find out, the DailyFX research team has looked through over 40 million real trades placed via a major FX broker's trading platforms. In this article, we look at the biggest mistake that forex traders make, and a way to trade appropriately. Why Does the Average Forex Trader Lose Money? The average forex trader loses money, which is in itself a very discouraging fact. But why? Put simply, human psychology makes trading difficult. We looked at over 43 million real trades placed on a major FX broker's trading servers from Q2, 2014 – Q1, 2015 and came to some very interesting conclusions. The first is encouraging: traders make money most of the time as over 50% of trades are closed out at a gain. Percent of All Trades Closed Out at a Gain and Loss per Currency Pair Data source: Derived from data from a major FX broker* across 15 most traded currency pairs from 3/1/2014 to 3/31/2015. The above chart shows results of over 43 million trades conducted by these traders worldwide from Q2, 2014 through Q1, 2015 across the 15 most popular currency pairs. The blue bar shows the percentage of trades that ended with a profit for the trader. Red shows the percentage of trades that ended in loss. For example, the Euro saw an impressive 61% of all trades closed out at a gain. And indeed every single one of these instruments saw the majority of traders turned a profit more than 50 percent of the time. If traders were right more than half of the time, why did most lose money? Average Profit/Loss per Winning and Losing Trades per Currency Pair Data source: Derived from data from a major FX broker* across 15 most traded currency pairs from 3/1/2014 to 3/31/2015. The above chart says it all. In blue, it shows the average number of pips traders earned on profitable trades. In red, it shows the average number of pips lost in losing trades. We can now clearly see why traders lose money despite being right more than half the time. They lose more money on their losing trades than they make on their winning trades. Let’s use EUR/USD as an example. We see that EUR/USD trades were closed out at a profit 61% of the time, but the average losing trade was worth 83 pips while the average winner was only 48 pips. Traders were correct more than half the time, but they lost over 70% more on their losing trades as they won on winning trades. The track record for the volatile GBP/USD pair was even worse. Traders captured profits on 59% of all GBP/USD trades. Yet they overall lost money as they turned an average 43 pip profit on each winner and lost 83 pips on losing trades. What gives? Identifying that there is a problem is important in itself, but we’ll need to understand the reasons behind it in order to look for a solution. Cut Losses, Let Profits Run – Why is this So Difficult to Do? In our study we saw that traders were very good at identifying profitable trading opportunities--closing trades out at a profit over 50 percent of the time. They utlimately lost, however, as the average loss far outweighed the gain. Open nearly any book on trading and the advice is the same: cut your losses early and let your profits run. When your trade goes against you, close it out. Take the small loss and then try again later, if appropriate. It is better to take a small loss early than a big loss later. If a trade is in your favor, let it run. It is often tempting to close out at a small gain in order to protect profits, but oftentimes we see that patience can result in greater gains. But if the solution is so simple, why is the issue so common? The simple answer: human nature. In fact this is not at all limited to trading. To further illustrate the point we draw on significant findings in psychology. A Simple Wager – Understanding Human Behavior Towards Winning and Losing What if I offered you a simple wager on a coin flip? You have two choices. Choice A means you have a 50% chance of winning 1000 dollars and 50% chance of winning nothing. Choice B is a flat 450 point gain. Which would you choose?         Expected Return Gains Choice A 50% chance to Win 1000 50% chance to Win 0 Expect to win $500 over time   Choice B Win 450   Win $450 Over time it makes sense to take Choice A—the expected gain of $500 is greater than the fixed $450. Yet many studies have shown that most people will consistently choose Choice B. Let’s flip the wager and run it again.         Expected Return Losses Choice A 50% chance to Lose 1000 50% chance to Lose 0 Expect to lose $500 over time   Choice B Lose 450   Lose $450 In this case we can expect to lose less money via Choice B, but in fact studies have shown that the majority of people will pick choice A every single time. Here we see the issue. Most people avoid risk when it comes to taking profits but then actively seek it if it means avoiding a loss. Why? Losses Hurt Psychologically far more than Gains Give Pleasure – Prospect Theory Nobel prize-winning clinical psychologist Daniel Kahneman based on his research on decision making. His work wasn’t on trading per se but clear implications for trade management and is quite relevant to FX trading. His study on Prospect Theory attempted to model and predict choices people would make between scenarios involving known risks and rewards. The findings showed something remarkably simple yet profound: most people took more pain from losses than pleasure from gains. It feels “good enough” to make $450 versus $500, but accepting a $500 loss hurts too much and many are willing to gamble that the trade turns around. This doesn’t make any sense from a trading perspective—500 dollars lost are equivalent to 500 dollars gained; one is not worth more than the other. Why should we then act so differently? Prospect Theory: Losses Typically Hurt Far More than Gains Give Pleasure Taking a purely rational approach to markets means treating a 50 point gain as morally equivalent to a 50 point loss. Unfortunately our data on real trader behavior suggests that the majority can’t do this. We need to think more systematically to improve our chances at success. Avoid the Common Pitfall Avoiding the loss-making problem described above is very simple in theory: gain more in each winning trade than you give back in each losing trade. But how might we do it concretely? When trading, always follow one simple rule: always seek a bigger reward than the loss you are risking. This is a valuable piece of advice that can be found in almost every trading book. Typically, this is called a “reward/risk ratio”. If you risk losing the same number of pips as you hope to gain, then your reward/risk ratio is 1-to-1 (also written 1:1). If you target a profit of 80 pips with a risk of 40 pips, then you have a 2:1 reward/risk ratio. If you follow this simple rule, you can be right on the direction of only half of your trades and still make money because you will earn more profits on your winning trades than losses on your losing trades. What ratio should you use? It depends on the type of trade you are making. We recommend to always use a minimum 1:1 ratio. That way, if you are right only half the time, you will at least break even. Certain strategies and trading techniques tend to produce high winning percentages as we saw with real trader data. If this is the case, it is possible to use a lower reward/risk ratio—such as between 1:1 and 2:1. For lower probability trading, a higher reward/risk ratio is recommended, such as 2:1, 3:1, or even 4:1. Remember, the higher the reward/risk ratio you choose, the less often you need to correctly predict market direction in order to make money trading. We will discuss different trading techniques in further detail in subsequent installments of this series. Stick to Your Plan: Use Stops and Limits Once you have a trading plan that uses a proper reward/risk ratio, the next challenge is to stick to the plan. Remember, it is natural for humans to want to hold on to losses and take profits early, but it makes for bad trading. We must overcome this natural tendency and remove our emotions from trading. The best way to do this is to set up your trade with Stop-Loss and Limit orders from the beginning. This will allow you to use the proper reward/risk ratio (1:1 or higher) from the outset, and to stick to it. Once you set them, don’t touch them (One exception: you can move your stop in your favor to lock in profits as the market moves in your favor). Managing your risk in this way is a part of what many traders call “money management”. Many of the most successful forex traders are right about the market’s direction less than half the time. Since they practice good money management, they cut their losses quickly and let their profits run, so they are still profitable in their overall trading. Does Using 1:1 Reward to Risk Really Work? Our data certainly suggest it does. We use our data on our top 15 currency pairs to determine which trader accounts closed their Average Gain at least as large as their Average Loss—or a minimum Reward:Risk of 1:1. Were traders ultimately profitable if they stuck to this rule? Past performance is not indicative of future results, but the results certainly support it. Our data shows that 53 percent of all accounts which operated on at least a 1:1 Reward to Risk ratio turned a net-profit in our 12-month sample period. Those under 1:1? A mere 17 percent. Traders who adhered to this rule were 3 times more likely to turn a profit over the course of these 12 months—a substantial difference. Why Do Many Forex Traders Lose Money? Here is the Number 1 Mistake David Rodriguez 11-14 minutes We look through 43 million real trades to measure trader performance Majority of trades are successful and yet traders are losing Reward to Risk ratios play a vital role in capital preservation Why do major currency moves bring increased trader losses? To find out, the DailyFX research team has looked through over 40 million real trades placed via a major FX broker's trading platforms. In this article, we look at the biggest mistake that forex traders make, and a way to trade appropriately. Why Does the Average Forex Trader Lose Money? The average forex trader loses money, which is in itself a very discouraging fact. But why? Put simply, human psychology makes trading difficult. We looked at over 43 million real trades placed on a major FX broker's trading servers from Q2, 2014 – Q1, 2015 and came to some very interesting conclusions. The first is encouraging: traders make money most of the time as over 50% of trades are closed out at a gain. Percent of All Trades Closed Out at a Gain and Loss per Currency Pair   Data source: Derived from data from a major FX broker* across 15 most traded currency pairs from 3/1/2014 to 3/31/2015. The above chart shows results of over 43 million trades conducted by these traders worldwide from Q2, 2014 through Q1, 2015 across the 15 most popular currency pairs. The blue bar shows the percentage of trades that ended with a profit for the trader. Red shows the percentage of trades that ended in loss. For example, the Euro saw an impressive 61% of all trades closed out at a gain. And indeed every single one of these instruments saw the majority of traders turned a profit more than 50 percent of the time. If traders were right more than half of the time, why did most lose money? Average Profit/Loss per Winning and Losing Trades per Currency Pair Data source: Derived from data from a major FX broker* across 15 most traded currency pairs from 3/1/2014 to 3/31/2015. The above chart says it all. In blue, it shows the average number of pips traders earned on profitable trades. In red, it shows the average number of pips lost in losing trades. We can now clearly see why traders lose money despite being right more than half the time. They lose more money on their losing trades than they make on their winning trades. Let’s use EUR/USD as an example. We see that EUR/USD trades were closed out at a profit 61% of the time, but the average losing trade was worth 83 pips while the average winner was only 48 pips. Traders were correct more than half the time, but they lost over 70% more on their losing trades as they won on winning trades. The track record for the volatile GBP/USD pair was even worse. Traders captured profits on 59% of all GBP/USD trades. Yet they overall lost money as they turned an average 43 pip profit on each winner and lost 83 pips on losing trades. What gives? Identifying that there is a problem is important in itself, but we’ll need to understand the reasons behind it in order to look for a solution. Cut Losses, Let Profits Run – Why is this So Difficult to Do? In our study we saw that traders were very good at identifying profitable trading opportunities--closing trades out at a profit over 50 percent of the time. They utlimately lost, however, as the average loss far outweighed the gain. Open nearly any book on trading and the advice is the same: cut your losses early and let your profits run. When your trade goes against you, close it out. Take the small loss and then try again later, if appropriate. It is better to take a small loss early than a big loss later. If a trade is in your favor, let it run. It is often tempting to close out at a small gain in order to protect profits, but oftentimes we see that patience can result in greater gains. But if the solution is so simple, why is the issue so common? The simple answer: human nature. In fact this is not at all limited to trading. To further illustrate the point we draw on significant findings in psychology. A Simple Wager – Understanding Human Behavior Towards Winning and Losing What if I offered you a simple wager on a coin flip? You have two choices. Choice A means you have a 50% chance of winning 1000 dollars and 50% chance of winning nothing. Choice B is a flat 450 point gain. Which would you choose?         Expected Return Gains Choice A 50% chance to Win 1000 50% chance to Win 0 Expect to win $500 over time   Choice B Win 450   Win $450 Over time it makes sense to take Choice A—the expected gain of $500 is greater than the fixed $450. Yet many studies have shown that most people will consistently choose Choice B. Let’s flip the wager and run it again.         Expected Return Losses Choice A 50% chance to Lose 1000 50% chance to Lose 0 Expect to lose $500 over time   Choice B Lose 450   Lose $450 In this case we can expect to lose less money via Choice B, but in fact studies have shown that the majority of people will pick choice A every single time. Here we see the issue. Most people avoid risk when it comes to taking profits but then actively seek it if it means avoiding a loss. Why? Losses Hurt Psychologically far more than Gains Give Pleasure – Prospect Theory Nobel prize-winning clinical psychologist Daniel Kahneman based on his research on decision making. His work wasn’t on trading per se but clear implications for trade management and is quite relevant to FX trading. His study on Prospect Theory attempted to model and predict choices people would make between scenarios involving known risks and rewards. The findings showed something remarkably simple yet profound: most people took more pain from losses than pleasure from gains. It feels “good enough” to make $450 versus $500, but accepting a $500 loss hurts too much and many are willing to gamble that the trade turns around. This doesn’t make any sense from a trading perspective—500 dollars lost are equivalent to 500 dollars gained; one is not worth more than the other. Why should we then act so differently? Prospect Theory: Losses Typically Hurt Far More than Gains Give Pleasure Taking a purely rational approach to markets means treating a 50 point gain as morally equivalent to a 50 point loss. Unfortunately our data on real trader behavior suggests that the majority can’t do this. We need to think more systematically to improve our chances at success. Avoid the Common Pitfall Avoiding the loss-making problem described above is very simple in theory: gain more in each winning trade than you give back in each losing trade. But how might we do it concretely? When trading, always follow one simple rule: always seek a bigger reward than the loss you are risking. This is a valuable piece of advice that can be found in almost every trading book. Typically, this is called a “reward/risk ratio”. If you risk losing the same number of pips as you hope to gain, then your reward/risk ratio is 1-to-1 (also written 1:1). If you target a profit of 80 pips with a risk of 40 pips, then you have a 2:1 reward/risk ratio. If you follow this simple rule, you can be right on the direction of only half of your trades and still make money because you will earn more profits on your winning trades than losses on your losing trades. What ratio should you use? It depends on the type of trade you are making. We recommend to always use a minimum 1:1 ratio. That way, if you are right only half the time, you will at least break even. Certain strategies and trading techniques tend to produce high winning percentages as we saw with real trader data. If this is the case, it is possible to use a lower reward/risk ratio—such as between 1:1 and 2:1. For lower probability trading, a higher reward/risk ratio is recommended, such as 2:1, 3:1, or even 4:1. Remember, the higher the reward/risk ratio you choose, the less often you need to correctly predict market direction in order to make money trading. We will discuss different trading techniques in further detail in subsequent installments of this series. Stick to Your Plan: Use Stops and Limits Once you have a trading plan that uses a proper reward/risk ratio, the next challenge is to stick to the plan. Remember, it is natural for humans to want to hold on to losses and take profits early, but it makes for bad trading. We must overcome this natural tendency and remove our emotions from trading. The best way to do this is to set up your trade with Stop-Loss and Limit orders from the beginning. This will allow you to use the proper reward/risk ratio (1:1 or higher) from the outset, and to stick to it. Once you set them, don’t touch them (One exception: you can move your stop in your favor to lock in profits as the market moves in your favor). Managing your risk in this way is a part of what many traders call “money management”. Many of the most successful forex traders are right about the market’s direction less than half the time. Since they practice good money management, they cut their losses quickly and let their profits run, so they are still profitable in their overall trading. Does Using 1:1 Reward to Risk Really Work? Our data certainly suggest it does. We use our data on our top 15 currency pairs to determine which trader accounts closed their Average Gain at least as large as their Average Loss—or a minimum Reward:Risk of 1:1. Were traders ultimately profitable if they stuck to this rule? Past performance is not indicative of future results, but the results certainly support it. Our data shows that 53 percent of all accounts which operated on at least a 1:1 Reward to Risk ratio turned a net-profit in our 12-month sample period. Those under 1:1? A mere 17 percent. Traders who adhered to this rule were 3 times more likely to turn a profit over the course of these 12 months—a substantial difference. Why Do Many Forex Traders Lose Money? Here is the Number 1 Mistake David Rodriguez 11-14 minutes We look through 43 million real trades to measure trader performance Majority of trades are successful and yet traders are losing Reward to Risk ratios play a vital role in capital preservation Why do major currency moves bring increased trader losses? To find out, the DailyFX research team has looked through over 40 million real trades placed via a major FX broker's trading platforms. In this article, we look at the biggest mistake that forex traders make, and a way to trade appropriately. Why Does the Average Forex Trader Lose Money? The average forex trader loses money, which is in itself a very discouraging fact. But why? Put simply, human psychology makes trading difficult. We looked at over 43 million real trades placed on a major FX broker's trading servers from Q2, 2014 – Q1, 2015 and came to some very interesting conclusions. The first is encouraging: traders make money most of the time as over 50% of trades are closed out at a gain. Percent of All Trades Closed Out at a Gain and Loss per Currency Pair   Data source: Derived from data from a major FX broker* across 15 most traded currency pairs from 3/1/2014 to 3/31/2015. The above chart shows results of over 43 million trades conducted by these traders worldwide from Q2, 2014 through Q1, 2015 across the 15 most popular currency pairs. The blue bar shows the percentage of trades that ended with a profit for the trader. Red shows the percentage of trades that ended in loss. For example, the Euro saw an impressive 61% of all trades closed out at a gain. And indeed every single one of these instruments saw the majority of traders turned a profit more than 50 percent of the time. If traders were right more than half of the time, why did most lose money? Average Profit/Loss per Winning and Losing Trades per Currency Pair Data source: Derived from data from a major FX broker* across 15 most traded currency pairs from 3/1/2014 to 3/31/2015. The above chart says it all. In blue, it shows the average number of pips traders earned on profitable trades. In red, it shows the average number of pips lost in losing trades. We can now clearly see why traders lose money despite being right more than half the time. They lose more money on their losing trades than they make on their winning trades. Let’s use EUR/USD as an example. We see that EUR/USD trades were closed out at a profit 61% of the time, but the average losing trade was worth 83 pips while the average winner was only 48 pips. Traders were correct more than half the time, but they lost over 70% more on their losing trades as they won on winning trades. The track record for the volatile GBP/USD pair was even worse. Traders captured profits on 59% of all GBP/USD trades. Yet they overall lost money as they turned an average 43 pip profit on each winner and lost 83 pips on losing trades. What gives? Identifying that there is a problem is important in itself, but we’ll need to understand the reasons behind it in order to look for a solution. Cut Losses, Let Profits Run – Why is this So Difficult to Do? In our study we saw that traders were very good at identifying profitable trading opportunities--closing trades out at a profit over 50 percent of the time. They utlimately lost, however, as the average loss far outweighed the gain. Open nearly any book on trading and the advice is the same: cut your losses early and let your profits run. When your trade goes against you, close it out. Take the small loss and then try again later, if appropriate. It is better to take a small loss early than a big loss later. If a trade is in your favor, let it run. It is often tempting to close out at a small gain in order to protect profits, but oftentimes we see that patience can result in greater gains. But if the solution is so simple, why is the issue so common? The simple answer: human nature. In fact this is not at all limited to trading. To further illustrate the point we draw on significant findings in psychology. A Simple Wager – Understanding Human Behavior Towards Winning and Losing What if I offered you a simple wager on a coin flip? You have two choices. Choice A means you have a 50% chance of winning 1000 dollars and 50% chance of winning nothing. Choice B is a flat 450 point gain. Which would you choose?         Expected Return Gains Choice A 50% chance to Win 1000 50% chance to Win 0 Expect to win $500 over time   Choice B Win 450   Win $450 Over time it makes sense to take Choice A—the expected gain of $500 is greater than the fixed $450. Yet many studies have shown that most people will consistently choose Choice B. Let’s flip the wager and run it again.         Expected Return Losses Choice A 50% chance to Lose 1000 50% chance to Lose 0 Expect to lose $500 over time   Choice B Lose 450   Lose $450 In this case we can expect to lose less money via Choice B, but in fact studies have shown that the majority of people will pick choice A every single time. Here we see the issue. Most people avoid risk when it comes to taking profits but then actively seek it if it means avoiding a loss. Why? Losses Hurt Psychologically far more than Gains Give Pleasure – Prospect Theory Nobel prize-winning clinical psychologist Daniel Kahneman based on his research on decision making. His work wasn’t on trading per se but clear implications for trade management and is quite relevant to FX trading. His study on Prospect Theory attempted to model and predict choices people would make between scenarios involving known risks and rewards. The findings showed something remarkably simple yet profound: most people took more pain from losses than pleasure from gains. It feels “good enough” to make $450 versus $500, but accepting a $500 loss hurts too much and many are willing to gamble that the trade turns around. This doesn’t make any sense from a trading perspective—500 dollars lost are equivalent to 500 dollars gained; one is not worth more than the other. Why should we then act so differently? Prospect Theory: Losses Typically Hurt Far More than Gains Give Pleasure Taking a purely rational approach to markets means treating a 50 point gain as morally equivalent to a 50 point loss. Unfortunately our data on real trader behavior suggests that the majority can’t do this. We need to think more systematically to improve our chances at success. Avoid the Common Pitfall Avoiding the loss-making problem described above is very simple in theory: gain more in each winning trade than you give back in each losing trade. But how might we do it concretely? When trading, always follow one simple rule: always seek a bigger reward than the loss you are risking. This is a valuable piece of advice that can be found in almost every trading book. Typically, this is called a “reward/risk ratio”. If you risk losing the same number of pips as you hope to gain, then your reward/risk ratio is 1-to-1 (also written 1:1). If you target a profit of 80 pips with a risk of 40 pips, then you have a 2:1 reward/risk ratio. If you follow this simple rule, you can be right on the direction of only half of your trades and still make money because you will earn more profits on your winning trades than losses on your losing trades. What ratio should you use? It depends on the type of trade you are making. We recommend to always use a minimum 1:1 ratio. That way, if you are right only half the time, you will at least break even. Certain strategies and trading techniques tend to produce high winning percentages as we saw with real trader data. If this is the case, it is possible to use a lower reward/risk ratio—such as between 1:1 and 2:1. For lower probability trading, a higher reward/risk ratio is recommended, such as 2:1, 3:1, or even 4:1. Remember, the higher the reward/risk ratio you choose, the less often you need to correctly predict market direction in order to make money trading. We will discuss different trading techniques in further detail in subsequent installments of this series. Stick to Your Plan: Use Stops and Limits Once you have a trading plan that uses a proper reward/risk ratio, the next challenge is to stick to the plan. Remember, it is natural for humans to want to hold on to losses and take profits early, but it makes for bad trading. We must overcome this natural tendency and remove our emotions from trading. The best way to do this is to set up your trade with Stop-Loss and Limit orders from the beginning. This will allow you to use the proper reward/risk ratio (1:1 or higher) from the outset, and to stick to it. Once you set them, don’t touch them (One exception: you can move your stop in your favor to lock in profits as the market moves in your favor). Managing your risk in this way is a part of what many traders call “money management”. Many of the most successful forex traders are right about the market’s direction less than half the time. Since they practice good money management, they cut their losses quickly and let their profits run, so they are still profitable in their overall trading. Does Using 1:1 Reward to Risk Really Work? Our data certainly suggest it does. We use our data on our top 15 currency pairs to determine which trader accounts closed their Average Gain at least as large as their Average Loss—or a minimum Reward:Risk of 1:1. Were traders ultimately profitable if they stuck to this rule? Past performance is not indicative of future results, but the results certainly support it. Our data shows that 53 percent of all accounts which operated on at least a 1:1 Reward to Risk ratio turned a net-profit in our 12-month sample period. Those under 1:1? A mere 17 percent. Traders who adhered to this rule were 3 times more likely to turn a profit over the course of these 12 months—a substantial difference. dont forget- like subscribe Data source: Derived from data from a major FX broker* across 15 most traded currency pairs from 3/1/2014 to 3/31/2015. Game Plan: What Strategy Can I Use? Trade forex with stops and limits set to a risk/reward ratio of 1:1 or higher Whenever you place a trade, make sure that you use a stop-loss order. Always make sure that your profit target is at least as far away from your entry price as your stop-loss is. You can certainly set your price target higher, and probably should aim for at least 1:1 regardless of strategy, potentially 2:1 or more in certain circumstances. Then you can choose the market direction correctly only half the time and still make money in your account. The actual distance you place your stops and limits will depend on the conditions in the market at the time, such as volatility, currency pair, and where you see support and resistance. You can apply the same reward/risk ratio to any trade. If you have a stop level 40 pips away from entry, you should have a profit target 40 pips or more away. If you have a stop level 500 pips away, your profit target should be at least 500 pips away. We will use this as a basis for further study on real trader behavior as we look to uncover the traits of successful traders. *Data is drawn from FXCM Inc. accounts excluding Eligible Contract Participants, Clearing Accounts, Hong Kong, and Japan subsidiaries from 3/1/2014 to 3/31/2015. Interested in developing your own strategy? On page 2 of our Building Confidence in Trading Guide, we help you identify your trading style and create your own trading plan. View the next articles in the Traits of Successful Series: Trading Leverage - A Real Look at How Traders May Use it Effectively Do the Hours I Trade Matter? Yes - Quite a Bit Analysis prepared and written by David Rodriguez, Quantitative Strategist for DailyFX.com Data source: Derived from data from a major FX broker* across 15 most traded currency pairs from 3/1/2014 to 3/31/2015. Game Plan: What Strategy Can I Use? Trade forex with stops and limits set to a risk/reward ratio of 1:1 or higher Whenever you place a trade, make sure that you use a stop-loss order. Always make sure that your profit target is at least as far away from your entry price as your stop-loss is. You can certainly set your price target higher, and probably should aim for at least 1:1 regardless of strategy, potentially 2:1 or more in certain circumstances. Then you can choose the market direction correctly only half the time and still make money in your account. The actual distance you place your stops and limits will depend on the conditions in the market at the time, such as volatility, currency pair, and where you see support and resistance. You can apply the same reward/risk ratio to any trade. If you have a stop level 40 pips away from entry, you should have a profit target 40 pips or more away. If you have a stop level 500 pips away, your profit target should be at least 500 pips away. We will use this as a basis for further study on real trader behavior as we look to uncover the traits of successful traders. *Data is drawn from FXCM Inc. accounts excluding Eligible Contract Participants, Clearing Accounts, Hong Kong, and Japan subsidiaries from 3/1/2014 to 3/31/2015. Interested in developing your own strategy? On page 2 of our Building Confidence in Trading Guide, we help you identify your trading style and create your own trading plan. View the next articles in the Traits of Successful Series: Trading Leverage - A Real Look at How Traders May Use it Effectively Do the Hours I Trade Matter? Yes - Quite a Bit Analysis prepared and written by David Rodriguez, Quantitative Strategist for DailyFX.com   Data source: Derived from data from a major FX broker* across 15 most traded currency pairs from 3/1/2014 to 3/31/2015. Game Plan: What Strategy Can I Use? Trade forex with stops and limits set to a risk/reward ratio of 1:1 or higher Whenever you place a trade, make sure that you use a stop-loss order. Always make sure that your profit target is at least as far away from your entry price as your stop-loss is. You can certainly set your price target higher, and probably should aim for at least 1:1 regardless of strategy, potentially 2:1 or more in certain circumstances. Then you can choose the market direction correctly only half the time and still make money in your account. The actual distance you place your stops and limits will depend on the conditions in the market at the time, such as volatility, currency pair, and where you see support and resistance. You can apply the same reward/risk ratio to any trade. If you have a stop level 40 pips away from entry, you should have a profit target 40 pips or more away. If you have a stop level 500 pips away, your profit target should be at least 500 pips away. We will use this as a basis for further study on real trader behavior as we look to uncover the traits of successful traders. *Data is drawn from FXCM Inc. accounts excluding Eligible Contract Participants, Clearing Accounts, Hong Kong, and Japan subsidiaries from 3/1/2014 to 3/31/2015. Interested in developing your own strategy? On page 2 of our Building Confidence in Trading Guide, we help you identify your trading style and create your own trading plan. View the next articles in the Traits of Successful Series: Trading Leverage - A Real Look at How Traders May Use it Effectively Do the Hours I Trade Matter? Yes - Quite a Bit Analysis prepared and written by David Rodriguez, Quantitative Strategist for DailyFX.com   Data source: Derived from data from a major FX broker* across 15 most traded currency pairs from 3/1/2014 to 3/31/2015. Game Plan: What Strategy Can I Use? Trade forex with stops and limits set to a risk/reward ratio of 1:1 or higher Whenever you place a trade, make sure that you use a stop-loss order. Always make sure that your profit target is at least as far away from your entry price as your stop-loss is. You can certainly set your price target higher, and probably should aim for at least 1:1 regardless of strategy, potentially 2:1 or more in certain circumstances. Then you can choose the market direction correctly only half the time and still make money in your account. The actual distance you place your stops and limits will depend on the conditions in the market at the time, such as volatility, currency pair, and where you see support and resistance. You can apply the same reward/risk ratio to any trade. If you have a stop level 40 pips away from entry, you should have a profit target 40 pips or more away. If you have a stop level 500 pips away, your profit target should be at least 500 pips away. We will use this as a basis for further study on real trader behavior as we look to uncover the traits of successful traders. *Data is drawn from FXCM Inc. accounts excluding Eligible Contract Participants, Clearing Accounts, Hong Kong, and Japan subsidiaries from 3/1/2014 to 3/31/2015. Interested in developing your own strategy? On page 2 of our Building Confidence in Trading Guide, we help you identify your trading style and create your own trading plan. View the next articles in the Traits of Successful Series: Trading Leverage - A Real Look at How Traders May Use it Effectively Do the Hours I Trade Matter? Yes - Quite a Bit Analysis prepared and written by David Rodriguez, Quantitative Strategist for DailyFX.com     View the next articles in the Traits of Successful Series: Trading Leverage - A Real Look at How Traders May Use it Effectively Do the Hours I Trade Matter? Yes - Quite a Bit Analysis prepared and written by David Rodriguez, Quantitative Strategist for DailyFX.com
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