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
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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 study calculates the Market Profile’s value area and point of control (POC). First, a brief overview of the Market Profile chart then the Excel RTD formulas for MPVAPOC, MPVAHigh and 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
This post builds upon CQG Product Specialist Helmut Mueller's post titled “Most Wanted Seven Studies Plus a Bonus Trading System.” His post provides a PAC with the following studies:
Chande… more
John Ehlers’, President of MESA Software (mesasoftware.com), goal is to bring the science of engineering and Digital Signal Processing to the art of trading. One such endeavor is his publishing of… more
Updated July 24, 2025
Bring Updating Time-Series Data from Microsoft Excel® Into CQGThe XL Real-Time study is included in CQGIC subscriptions enabled for CQG Trading, or Spreader, as well as… more
This Microsoft Excel® spreadsheet pulls in five Imoku studies along with open, high, low, and close bar values. You can change the symbol and the time frame. You can retrieve up to 300 daily… more
Customers using our flagship product, CQG Integrated Client (CQG IC), have access to a new study called Algo Orders. Using a proprietary algorithm, this indicator of trading activity detects and… more
CQG offers an Implied Volatility (ImpVol) study that allows you to pull in historical implied volatility data onto a chart. ImpVol is not the implied volatility of one particular option.… more