"For those who have already accepted the discipline of trading based on fundamental relationships across contract months and among commodities, Scarr Visual Trading might be all they need." - Futures Magazine - April 2005, Software Review




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Purpose

I started Scarr Visual Trading in order to provide sound, accurate studies and charts for the analysis of the futures market. When I began my study of the futures market in 1994, most of the technical analysis I saw either had no sound basis or failed rigorous backtesting. My research into fundamental analysis showed that readily available data on supply and demand was immediately discounted by the market, giving no chance to profit. The only research I could base my trading on was that based on sound statistical and economic principles such as seasonal trends. But, when I tried to find seasonal charts with the features I wanted, I came up empty. So, I began writing programs to generate my own custom charts.

Background

I am a self-employed researcher with a background in the hard sciences. My formal education includes a B.S. in Mechanical Engineering and an M.S. in Physics from Old Dominion University in Virginia, and an M.S. in Math Modeling from Humboldt State University in California. I brought this education and experience to my study of the futures market and began writing programs which have greatly helped me in trading spreads and outright positions. These programs work for me and they can work for you as well.

My Pledge

I promise that the charts and studies presented on this site will be as accurate as I can make them. I also promise that there will be no “magic indicators” or “black-box” systems – all charts and studies will be fully explained. I will always be available to you for technical support and to quickly answer any questions. And finally, no program or system can make you rich overnight in the commodities market - anyone who tells you their system can is being un-truthful. I can tell you that if you use the programs on this site they will improve your trading. That is my pledge to you.

Dan Scarr

Scarr Visual Trading server1: 104.130.207.140
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Charts
     Description -       Instructions -       Chart Instructions -
legs:  study: 
The chart below shows when the contracts traded (it contains no price information). It is made by shifting the contracts in time so that they all expire in the same year. The orange-shaded region shows the selected trade interval.
 contracts: This is a limited set of commodities available to nonsubscribers. Subscribers can access data for over 40 commodities.  unit move: $ These only have to be changed if you are trading a contract with a different size than the standard contracts.
 contracts:  unit move: $
 contracts:  unit move: $
 contracts:  unit move: $
Contract Alignment
{{index % 2 == 0 ? String.fromCharCode(8942) : null}}
Contract Selection
-year seasonal
Please select.
Normalization shifts each curve vertically so that its value is zero on the normalization date.
years: 
method:

Seasonal Index Methods

Average Method - This method simply calculates an average for each day of the year. It therefore has the same units as the underlying commodity.

Link Relative Method - This method requires the following steps:

  1. Express each daily close as a percentage of the previous day's close.
  2. Average these percentage values for each day of the year.
  3. Set the first day of the seasonal to 100% and reexpress all the other daily averages as relative percentages of the first day's value.

For further discussion click here.

truncate contracts:
chart type: legs panel legend: data grouping: data popups: line width:
height:       width:
already exists.
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