Trading Strategy: COT Report Analysis

It’s been a while since I shared my ideas on market analysis with you and I see that the interest in the subject only increases. In my opinion, it objectively reflects the fact that the information that we receive in these reports is of interest. Especially for those who are trying to understand the true causes behind the price movements in a particular market.

So today I want to move from theory to practice and on the basis of data obtained in the COT report on 18th November 2016 to make a detailed analysis of one of the markets. My goal is to show you how I do in in order for you to be able to use it in your trading tomorrow.

So let’s begin! Today we look at the futures market Swiss franc. Below you can see the COT report for this instrument of November 15, which we received the 18th. Let me remind you that this report is published by the CFTC every Friday, where the data originates from last Tuesday i.e. we obtain this data with a three day delay.

This is a very important factor to be considered but we should not doubt that it is still relevant and I’ll show it today.

What we see in the COT report?

In this report I’m mainly interested in the changes in two columns marked in green. The first one is the total number of open positions (Open Interest). The second shows the change in the structure of open positions of commercial participants (Commercial) or as I often call them operators.

cot

Here we can see that during the reporting week of 8th – 15th of November, the total number of open positions changed insignificantly . The amount increased just to 901 contract. In addition we see that during this time the operators have increased their long positions (1882 contract), cut their shorts (-1736 contract) and had a net long position of 36521 contract (39568 – 3047 = 36521). It is also worth noting that the share of long positions of commercial participants to the total volume of open positions is 72,6% (39568 / 54533 * 100 = 72,6) . Now let’s open the chart and see how the price changed during this period.

What we see on the chart?

chf

 

Here I have outlined 5 trading sessions during which there have been changes in the report and noted the day when this data was published – when we received these data at our disposal.

The price was falling during all five reporting days and finally on November 15, has updated the lows of June 2016. For three days after that, while the report has not yet been published, the price continued its decline i.e. significant changes during this three-day period has not occurred, except that the price has not dropped even lower. On this basis, I conclude that the data presented in the report remains valid.

What relative indicators I use

It’s time to compare the data obtained in the report with historical values to assess the strength of their influence on the market. I’m using Timing Charts for it. Here we have the opportunity to compare not only absolute values that are presented in the COT report, but the relative values as well. I am personally convinced that it is much easier to work with relative figures than with absolute.

COT Index

The first relative measure I use is the COT Index. You can see this indicator at the bottom of the picture, just below the changes of net open positions of operators. Despite the fact that visually the two curves are identical, in trade when you need to determine the reference levels, it is easier to operate with relative values, because these values will always be in the same range. This index compares a current net open position with the high and low for the last 26 weeks (six months). You can change the number of weeks involved in the index calculation at your discretion, but I use 26 weeks.

C.O.T. Index = (Current Net Position – Minimum Net Position[Weeks]) / (Maximum Net Position[Weeks] – Minimum Net Position[Weeks])

cotindex

Let’s imagine that this indicator shows 100%. This would mean that currently we have the maximum net long position of operators for the last 26 weeks. Otherwise, if this index will show 0%, this will tell us that operators now have the maximum net shorts over the same period.

Open Interest Percent

Another relative indicator that I use you can find in the report (see picture 1). This percentage of open long or short positions of commercial participants in the total open interest. If the COT index is above 80%, as in our example, I use the following formula:

Open Interest Percent = Commercial Long / Open Interest

If the COT index is below 20%:

Open Interest Percent = Commercial Short / Open Interest

In our case, the COT index is 93,88%, respectively, in the picture below, in addition to the changes of the absolute value of Open Interest I have reflected changes in long position of operators regarding the same value (Comm Long / Open Interest).

openinterestpercent

We got a coefficient of 0.73 after rounding or 73%. This means that in the total open long positions 54533 contract, 73% or 39568 contracts constitute a long position of operators and only the remaining 27% distributed among other groups. At the same time, if we look at the total volume of short positions the same 54533 of the contract, the operators keep only 3047 contracts or 5.6% of the total. I hope you have not lost the thread of my logical thinking and understand what I mean.

Conclusion

Currently, the operators hold almost the maximum net long position of 93,88% over the last 26 weeks. In addition to this, the share of long positions of operators to the total volume of open interest is 73% and continues to grow. Increasing this share it increases the probability that the price will reverse.

If we look at the history of changes of this indicator, we can see that the price changed its direction when the value was smaller.

cfh-cot

 

For this market, I believe the conditions will be met if COT Index is above 80% or below 20%, while Open Interest Percent is greater than 60% or 50%, respectively. For other markets, generally, the control values of the first indicator remain the same 80% and 20%, while the second one may vary from market to market. It is easy to identify them, just by looking at the history and determining for which values of Open Interest Percent there was a change of trend.

This does not mean that after the value reach these targets, I will immediately open a trade. As I said before, the mentioned above conditions are only one out of three points to be checked when opening a trade. Therefore, only after meeting these criteria I’m starting to use the technical analysis tools solely in order to enter the market.

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