CQG's market data information breaks down into two types of data: One is study data that can be seen on a chart, such as the high of a market from last week. The other is a label data, which is… more
Blogs
CQG's roots are in the world of market action data. The premise was that traders needed clear and informative market charts on various time frames and would use studies in conjunction with the… more
In this article, we measure the price action between a significant high and a significant low identified by CQG's ZigZag study. The ZigZag study is a useful graphical tool that connects… more
Occasionally we receive requests from traders asking how to protect their own formulas from being viewed and modified by someone else. Here is a short guide detailing the steps.
The quick… more
This short article is not a huge programming exercise, it is mainly about a smart way to see seasonal behavior in an overlay chart. Here is the result we would like to have:
The… more
Overview
CQG Signal Evaluator (SigEval) allows you to quickly assess the validity of a trading signal before spending valuable time creating fully-fledged trading systems… more
Editor's Note: In this article, Mueller expands on the Auto Fibonacci study concept covered in his August 27 article. Here he shows how to enhance the study by forcing the calculation to use… more
One of a series of interviews with traders who use CQG Integrated Client, this interview is with Robin Mesch, President of Robin Mesch Associates and Mesch Capital Management. Ms. Mesch is a… more
We often receive questions on how to limit trading activity to certain times of day. One little extra line of code can accomplish this quite easily.
In CQG there is a very efficient… more
Derived from contributions medieval mathematician Leonardo Fibonacci made to number theory, retracements measure the price areas where a market move is likely to pause or reverse a trend. Many… more