This process is very important for every trader and should be done by everyone for all the underlyings they are going to use because it allows us to really know what we are dealing with and how to deal with it.
The Futures in question is the CORN.
This mirror shows all the useful data of the instrument
NATURE OF THE INSTRUMENT
First of all we will analyze the nature of the instrument: breakout or reversal.
To do this I use the codes written by me and I run them on the instrument with different Timeframes. It’s a simple stop and reverse code.
In total I have 4 methods to detect the nature of the breakout and 4 to detect the nature of the return to the mean. Whenever one of them produces a positive result I give a “+” sign to the nature type.
From the analyzes, the breakout nature is the best result, so in the future we will focus on strategies based on this nature.
Having done this, I move on to the movement of the instrument on a monetary basis. This step is very important for future strategy writing and risk calculation.
To do this I use a small indicator that I wrote that multiplies the range of the candle by its BigPointValue. I have done this on several timeframes. Here are the results:
As I said earlier, these metrics are very important because they allow us to calculate the riskiness of the underlying and to use appropriate stoplosses for our strategies.
For example, we should not use a $ 200 stoploss for a strategy that has been in the market for multiple days on this instrument as it moves $1500 daily.
I first analyze the daily volumes via TradingView and Tradestation. I use a 200-period average on the volumes to calculate them. With more analysis we might find some interesting bias with the volume analysis.
Full contract: Daily volumes..
We have an average of 135,000 contracts per day.
Full contract: Intraday volumes..
Micro contract: Daily Volumes..
We have an average of 2,000 contracts per day.
Micro contract: Intraday Volumes..
RETURNS: INTRADAY, DAILY, WEEKLY AND MONTHLY
Now let’s move on to analyzing price behavior in relation to hours, weeks and months.
To do this, I use some strategies written by me and then analyze the results through software or through some sites that offer these services.
Here are the behaviors that I was able to analyze for this futures…
This data is obtained from the analysis of long operations made at the opening of the candle and closed at the close. In this way with the extracted data and the interpretation we can obtain the trend of the futures during the day …
These data are obtained using a strategy with daily bars that enters at the opening of the candle in the long position and exits at the close of the same candle.
In this part we look at the correlations between the data. I used the data provided by my broker ( Tradestation ) and used a python script to interpret it.
This section shows the performance data in relation to the years.
Finished analysis! In the future, I intend to add more information and graphs to my analysis to provide you with further insights and advice. I hope it helps you to better develop your strategies!
See you in the next article 🖖
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