This post is a follow up to one I recently wrote about choosing binary options expiry. The previous posting was focused on measuring your charts and logging the information in a table so that you would know the average movement of a chosen asset for a given time frame. If you don’t know what I am talking about I suggest you read that post, there will be a link later. This post ties into that one but focuses more on stronger signals and weaker signals. For example, with a strong signal I may choose an option with expiry towards the short end of the expected time it would take for the option to move into the money. With a weaker signal I may choose to use an expiry at the longer end of the expected time frame.
Statistical Analysis And Your Charts
This is what I mean. In the previous article I described a method of measuring the length and magnitude of rallies and declines. These measurements are entered into a table and an average is given. This average can be used to help determine appropriate expiry’s. What I did not hit on the last time were the other important statistical points that can be gleaned from the data. For one, the median. The average and the median are not the same thing, one or both could be skewed. For another are the extremes and that is what this post is about. The extremes tell you what to expect when the unexpected happens. Let’s think about this from the perspective of the trade and signal. There is a sample amount of signals, some extreme and some average. The strong signals will correlate to the short extreme and the weak signals will most likely correlate to the long extreme in terms of the average amount of time it takes for a signal to produce a winning trade.
What constitutes a strong and a weak signal will depend on your trading system. I use a variety of different indicators and can get strong and weak signals in a number of ways. For this example I want to use a trade I made on Communitraders as part of my weekly column, Tips From The Geek. The trade is on gold. At the time the tip was made I was getting bearish signals but they were weak. I couldn’t discount them, and since the longer term trend was down I wasn’t about to risk a bullish trade, so I had to act. I was sure my analysis was right but was unsure of the time frame, a perfect time to look at my tables and see just how long it might take for a weak signal to develop. Based on my data and analysis I chose an expiry of one month.
In between the time that I opened the trade and closed it the price of gold fluctuated wildly. Economic data, Quantitative Easing and global recovery were playing havoc with expectations and demand. At one time this trade moved more than $60 out of the money. I had written it off on more than one occasion. Losses are part of the game so I wasn’t too upset. However, I wrote it off too soon. My analysis had been correct. Near term noise had a negative impact on my analysis but the longer term trend held true and it eventually did close in the money.
Choosing The Right Expiry Can Make All The Difference
Let’s take a quick look at the charts. At first glance you would think that playing a call may have been better at this time but my analysis was bearish. I was just uncertain of time frame because of the weakness of the signal. Based on my tables I knew I could expect it to take 4 weeks or more for this kind of signal to develop. I choose to use a one month expiry and managed to squeak out a profit. Just a week later the price of gold dropped again, breaking a major support and confirming my long term analysis. I could have trade calls in the interim but with bearish technicals I judged it to be a bad idea. By using my data tables I was able to pick an expiry appropriate to the signal and was able to make a profitable trade if barely. Trusting your analysis can sometimes be the hardest thing to do, I readily admit being worried this trade was going to lose. Choosing the right expiry can be the difference between a winning trade and a losing one.
Click here for more on how to Measure Your Charts and choosing the right expiry.