CQG offers institutional pricing data across 430+ currency pairs of market data. Sourced directly from tier-1 banks and non-bank market makers worldwide, the feed provides up to 50 years of… more
Workspaces
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
The London Metal Exchange (LME) was founded in 1877. The LME is the world center for the trading of industrial metals. The majority of all non-ferrous metal futures business is transacted on the… more
This post details a custom CQG study for pulling a market’s all time high price and date and the market’s all time low price and date.
The custom study was built by CQG’s Product Specialist… more
The CQG Data Quality Team has added the USDA Daily Ethanol Report found under USDA in the CQG Symbol Finder. Thirty-four new symbols are available. At the bottom of the post is a CQG PAC that… more
The CQG Data Quality Team has added over 1,000 USDA Cattle Market reports. The symbols are found under the USDA-WASDE group in the CQG Symbol Finder when searching for Cattle.
In… more
This article walks you through using Microsoft® Excel’s LINEST function to determine the three coefficients and y-intercept of a 3rd order polynomial function over the past 20 bars of closing… more