This is a trading item or a component that was created using QuantShare by one of our members.
This item can be downloaded and used by QuantShare Trading Software.
Trading items are of different types. There are data downloaders, trading indicators, trading systems, watchlists, composites/indices...
You can use this item and hundreds of others for free by downloading QuantShare.
Top Reasons Why You Should Use QuantShare:
Works with US and international markets (stock, forex, options, futures, ETF...)
Offers you the tools that will help you become a profitable trader
Allows you to implement any trading ideas
Exchange items and ideas with other QuantShare users
Our support team is very responsive and will answer any of your questions
We will implement any features you suggest
Very low price and much more features than the majority of other trading software
The Regularized Exponential Moving Average or Regularized EMA is a trading indicator introduced by Chris Satchwell in July 2003 version of Stock & Commodities magazine.
This technical analysis indicator was designed to be smoother and with less lag that the traditional exponential moving average. The indicator gets the EMA period and the Lambda value (A factor that controls the "regularization" amount). When the Lambda value is set to zero, the Regularized Exponential Moving Average becomes the standard EMA.
The first argument of the Regularized EMA function gets the price series that will be smoothed. Usually, the close price is used but you can also use and calculate the Regularized EMA of any other price series or technical indicators.
Example:
a = REMA(close, 9, 9);
The Regularized EMA function name is "REMA" and the above line calculates the Regularized EMA of the close price using a period of nine bars and a Lambda value of nine bars.