How To

In Mr. Ehlers Book “Cybernetic Analysis for Stocks and Futures” the “Leading Indicator” was introduced. The goal of this study was to smooth the price action while not having the lag by the study… more

This post details the steps to pulling custom study values into Excel using RTD formulas.  First, an overview of RTD formulas and parameters.

When CQG IC or QTrader are installed, a DLL… more

The post CQG Primer: The Ultimate Smoother detailed a study developed by John Ehlers. You can find a detailed description of the Ultimate Smoother on the MESA Software website.

This post… more

John Ehlers developed the Ultimate Smoother study. https://www.mesasoftware.com/TechnicalArticles.htm The study is a two-pole low-pass digital filter designed to smooth price data while… more

The Accumulation/Distribution Study and the Chaikin Oscillator were introduced in the post titled CQG Primer: The Chaikin Oscillator.

The Chaikin Oscillator is the difference between two… more

This post, DEMA Based MACD Oscillator, introduced using the Double Exponential Moving Average Study for smoothing the data to create an MACD study that would have less lag than the classic MACD… more

This post detailed the Double Exponential Moving Average Study or DEMA. DEMA is helpful for technical analysis because it reduces the lag of traditional moving averages, such as the simple moving… more

The CQG Quote Board is a classic quote display providing the open, high, low, last, and net change from the prior close.

One feature unique to the CQG Quote Board is a symbol entered… more

The Double Exponential Moving Average study is a moving average calculation that reduces the lag associated with other moving averages. The Double Exponential Moving average is calculated as the… more

This post details steps using the Excel CQG RTD Toolkit Add-in to pull in open interest data for an options series based on the same expiration. These same steps can be used to pull in other… more