CQG Primer

The CQG Rank Study ranks the individual chart points of a market over a specified number of previous trading periods. For example, if the current bar's close had a rank of 3, and the periods were… more

The Klinger Volume Oscillator (KVO) was developed by Stephen Klinger. The study uses the difference between two exponential smoothed moving averages (EMA) of the "Volume Force" and includes a… more

The Kalman Filter is a recursive algorithm invented in the 1960s to track a moving target from noisy measurements of its position and predict its future position. The Kalman filter is an optimal… more

A popular form of market analysis is to maintain a real-time table of market performance based on an annualized basis. For example, the QSS 2.0 displayed below has a sorted column highlighted with… more

Markets tend to trend up, down, and sideways. Another name for trending sideways is congestion. A period of congestion is when the Open, High, Low, and Close price bars are overlapping. CQG IC and… more

This study goes by a number of other names, including the end point moving average, least squares moving average, moving linear regression, and time series forecast.

To explain this study… more

The Net Change Curve chart displays a collection of symbols’ daily net price change or daily net percentage change making it easy to compare on a relative basis each market’s current session’s… more

CQG One provides an "Active RFQ" widget. A Request for Quote (RFQ) is functionality provided for traders to access electronic quotes on multi-leg options strategies. It is an electronic message… more

This post details the use of the CQG function: Time Average (TimeAvg), which calculates the average for values taken at the same time of day over the lookback period.

In this example, the… more

CQG IC and QTrader offer charts that utilize volume for the horizontal scale, not time. The first chart type to discuss is Constant Volume Bars.

Constant Volume Bar (CVB)

The Constant… more