Last week I have tried to measure the probability literacy among the readers of this blog, who presumably are Forex traders or at least are trying to be them. Now, with more than 50 answers to each question of the test poll, it looks like a good time for my

The results of the suggested polls are quite curious, in my opinion. But first, let me explain more about the offered questions and the possible answers.

**About Questions and Answers**

The **first question** was “What would you choose?” And the possible answers were: either a 99.9% chance to win $1,000 (one thousand) or a 5% chance to win $1,000,000 (one million). In currency trading, as well as in any other **expected value** — a very important yet rather simple to understand term from the probability theory and statistics. The expected value can be calculated as `P × V`

`0.999 × $1,000 = $999`

`0.05 × $1,000,000 = $50,000`

Obviously, the second answer is more favorable than the first one as it yields more than 50 times higher expected gain. The point of this test question was to determine how cautious or greedy are the FX traders when the odds are in their favor. Those who chose the first answer rarely follow the “let your profits run” rule and usually prefer to take whatever profit the market is offering them. Those who chose the second answer most probably prefer to keep their profitable positions open for as long as the market conditions remain in their favor.

The **second question** again was to choose from two possible answers were: either a 99.9% chance to lose $200 or a 10% chance to lose $3,000. Using the formula from the explanation to the first test question, we can calculate the expected values (EV) for both answers. The first `EV = 0.999 × $200 = $199.80`

`EV = 0.10 × $3,000 = $300`

Obviously, the first answer is more favorable as it results in losing less in the long run, even though the probability of loss is rather high. The point here is that the traders who prefer to cut their losses short will choose the first answer as it implies an almost guaranteed but a small loss. At the same time, the market participants that stick to their losing trades in hopes of a reversal will probably choose the second option as it gives them a chance to avoid any loss at all even at the cost of losing a lot if the chances turn against them.

The **third question** was “What trading strategy would you choose?” and there were two variants to select from: either a strategy that is right 30% of time and is yielding $50 on winning trades and -$10 on losing ones or a strategy that is right 90% of time and is yielding $10 on winning trades and -$40 on losing ones. Let us calculate the expected value for each strategy. The calculations are a bit different here as they are composed of two parts — positive (winning trade) and negative (losing trade). The EV of the first strategy is: `0.3 × $50 — 0.7 × $10 = $15 — $7 = $8`

`0.9 × $10 — 0.1 × $40 = $9 — $4 = $5`

Choosing the first option here would be the most rational choice. This question was meant to detect traders’ bias towards strategies that win often but have poor

**Results Analysis**

As of May 30, 2012, the results were following:

- More than two thirds of the poll participants chose the first option, which, if you remember, is an irrational choice. It shows that the vast majority of this blog’s readers would prefer to cut their profit short even if the trading conditions favor their profitable position. It is a bad signal and if you were among those who have chosen the first option in this question, I recommend thinking about it and trying to correct this trading bias somehow.
- Less than two thirds of the participants are cutting their losses short and thus chose the first option here. Unfortunately, about one third of the respondents seem to be sticking to their losing positions, even when it is obvious that a small loss now is better than a chance to avoid it at a potentially much higher price. If you are among those who chose the second option in this poll question, I would recommend switching to tighter
stop-loss levels (you are usingstop-loss , aren’t you?). - About two thirds of the blog readers chose the first strategy, which is a more rational choice but forfeits the psychological comfort of winning often. Traders who chose a less profitable strategy are not necessarily
probability-blind . Perhaps they are lessself-disciplined and prefer emotional stability, which in its turn helps against deviating from their strategy.

I hope that my explanations are clear enough and that they will help you become more

If you want to share an opinion or ask some questions about the probability theory and its application in currency trading, feel free to reply using the form below.

Very interesting explanation. I’m just starting to learn about trading forex, so this post is really great! Easy to understand numbers, helping to understand my own psychology (and if it’s profitable or not when trading :p)

I’m looking into probabilities right now, you seem to know quite a bit about it. Any good suggested articles that can help me learn how to get over the 50/50 win/loose probabilities when trading? I have a programming background so would like to play around with automated trading on a demo account, and it would be interesting to compare strategies with 52/48 and 50/50 probabilities :)

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admin Reply:

May 24th, 2013 at 6:31 am

It’s quite impossible to have a strategy that would result in some exact win/loss probabilities.

What you can do is set up an EA to trade randomly with some specific TP/SL ratio. If the ratio is close to 1:1, you will get about 50/50 probability rate. If the ratio is 1:0.5 you will get close to 33/66 win/loss rate, and so on.

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