Studies

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

CQG IC and QTrader offer two studies that track volatility: Implied Volatility and Historical Volatility. This post details each study and provides an Excel spreadsheet for tracking the two.

The Adaptive Moving Average (AMA) was developed by American quantitative financial analyst and author Perry J. Kaufman. The AMA study is like the exponential moving average (EMA), except the AMA… more