# What is a Good Trading Expectancy? – Expectancy Formula

If you are in forex trading or any other trading form, you must understand that money management is essential. Along with that, keeping a stronghold on your trading account is necessary, and controlling the loss is a significant component. Unfortunately, many traders take the risk of one or two percent to manage the loss.

## What is Expectancy in Trading?

Expectancy in trading shows how much money, on average, we can expect to make or lose for every dollar we risk. Trading expectancy is a calculation that presents the profit for each trade placed – how many trades are won with the average loss on losing trades and the average gain on winning trades. The main question is, do traders have a positive outcome on average when dividing total profits by total trades?

Now let’s see how to calculate trade expectancy and expectancy ratio:

To calculate expectancy, we need to calculate the average return for each trade, including wins and losses, using the following formula:

Expectancy  = (Winning% x Average Win Size) – (Loss % x Average Loss Size)

Example:

Calculate expectancy if a trader wins 60% of the time, making \$200 on average when they win but losing \$500 on losing trades.

Winning percent: 60%

Loss percent: 40%

Average win size: \$200

Average loss size: 5200

Expectancy = (0.6 x \$200) – (0.4 x \$500) = \$120 – \$200 = -\$80

The trader has a negative expectancy.

Positive expectancy trading represents the positive number of dollars that implies how much money a trader can expect to win for every dollar he risks. Conversely, negative expectancy means the number of dollars that indicates how much a trader can expect to lose for every dollar he risks.

With that, having a money management algorithm helps increase your capabilities of setting trading strategies. Two main parts of this money management include expectancy and risk. Expectancy in forex trading means the average expected amount you would gain or lose for a trade. Thus, it is a kind of risk-to-reward ratio.

After implementing this, you will have a better outlook on the market. We understand that this topic can be a little heavy and that taking your time to comprehend the information is alright. Eventually, with practice, you would ace it with ease. Of course, to trade forex, you also need to have basic knowledge of probability concepts, but that’s all we promise!

As stated earlier, experience, in general terms, means how much you expect to earn for the risk you are willing to take in a trade. For example, for taking the risk of \$1, if you make \$2, then your expectancy is two times. Now, if you are expecting to earn \$0.60, your experience would be 0.6 times that of your risk. Now, if you end up losing \$0.50, then your expectancy would be -0.5. Remember that any expectancy above 0 is profit, and below is a loss.

You can also calculate your expectancy rate by adding your average risk or reward for a trading series. However, it is better to understand the concept of R multiples before getting into such complexities.

## Expectancy Ratio Formula Example

Risk reward: \$400 average winning trade/ \$100 average losing trade = 4

Now we can calculate the expectancy ratio:

(Reward to Risk ratio x win ratio) – Loss ratio = Expectancy Ratio

4 * 0.3333 – 0.6666 = 0.66

## What is a Good Trading Expectancy?

Good trading expectancy represents any positive expectancy ratio above 0.25.  If you risk \$100, you expect to earn \$25 profit (0.25 * \$100 = \$25). Usually, traders consider that 0.25 R, where R is risk in dollars, is a good trading expectancy in live trading.

Usually, traders consider that 0.25 R, where R is risk in dollars, is a good trading expectancy in live trading. If you risk \$100, you can expect to earn at least \$25 in profit on average.

While there is no guarantee that you will always earn this profit, having a positive expectancy is essential to being a successful trader. It shows that your method has the edge over the market and gives you a better chance of making money in the long run.

So what factors can affect your trading expectancy? Here are just a few:

· The amount you risk per trade
· The size of your stop loss and take profit orders
· The volatility of the markets
· The type of markets you trade

## What are R Multiples?

R multiples are the way that helps in deciding the initial level of risk for trade in terms of risk or reward. For example, if you have 40 pips, stop loss in the forex market, and have the risk of \$5 pips, if the situations turn opposite you, you will lose \$200. This \$200 is the initial loss, also known as 1R risk. R stands for risk here.

Going further, we can define the risk using R, like 1R, 2R, etc., instead of pips or dollars. I.e., if you are taking a trade worth \$50 gain and \$25 loss, you would make double the risk you take, which would be 2R. But if you lose \$25, you would lose 1R.

Traders implementing R multiples generally say, “I earned 3R yesterday and lost 1R today.” “This trade has the potential of 4R.”

## Calculating the expectancy Formula in Trading

You know R multiples, so let’s get into the expectancy formula. These are the two main steps.

• Divide the total by the no. of trades you have taken.

Following is the expectancy formula:

Expectancy = Total R / Number of Trades

Let us take an example. If you have taken 20 traded in total and have made 40R in total, according to the equation,

40R / 20 = 2

You have an expectancy of 2 here.

## Money Management and Entry/Exit Points

A trader can develop his money management tool to decide the perfect time to enter and exit the trade. You can also establish these rules without considering your entry or exit points. You can view the following for the same.

• The entry and exit strategy can generate average R multiples with time.
• A money management or position sizing approach can be applied to the entry and exit strategy.

Van Tharp says 90 percent of the variance in any professional trader’s performance depends on position sizing. Of course, these are all variations, but the basics are the same.

• Each marble pulled out from the bag is denoted as a trade-in R multiple, like you may gain 5R or lose 1R.
• Each person has the same starting capital mount, and you must take a particular risk to pull a marble from the bag.
• Real money is involved in each game, is up to \$1200 at a certain point.
• Each stimulation has at least around 30 pulls and up to 27 participants in each game. Everyone has the same trade. As a result, the system has more losing trades and a few large winning trades.

So, in this case, each pull of marble from the bag is called a trade. That is your entry and exit. The only control you have here is your position sizing.

After the end of each game, everyone has different equity, and the variations between that are also huge and vary from being bankrupt to a million-dollar profit.

This marble bag game states the importance of position sizing and its application over the entry and exit points.

## Money Management and Risk

You have to take a risk if you want to trade and apply money management. Your return would be exactly what you assume the risk.  After understanding the expectancy rates and R multiples, the next big decision you should be taking is position sizing. That’s why some investors are happy with their ten or fifteen percent a year returns, while some traders prefer making millions from their twenty to thirty thousand.

## Conclusion

The expectancy rate concept is a little complicated, but it is a crucial decision-making component that helps you manage your risk and return. Take your time and start with 1R risk; you can permanently alter it as you learn the efficiency.

We have learned various things in this article, including the R multiples, calculating the expectancy rates, money management over the entry and exit points, and the nature of risk. By taking baby steps, you can develop your money management approach and build a consistent trading career. All the best!

Fxigor

Igor has been a trader since 2007. Currently, Igor works for several prop trading companies. He is an expert in financial niche, long-term trading, and weekly technical levels. The primary field of Igor's research is the application of machine learning in algorithmic trading. Education: Computer Engineering and Ph.D. in machine learning. Igor regularly publishes trading-related videos on the Fxigor Youtube channel. To contact Igor write on: igor@forex.in.rs

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