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
Studies
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
CQG One carries on the tradition of CQG product offerings with best-in-class market data visualization with the introduction in CQG One version 9.1.45025 the CQG Profile chart type and the CP… 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
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
There are a number of volume-based studies available to customers using CQG IC or QTrader. This post walks you through the basic details of the various studies, then correlation analysis is… more