Any 8 Moving Averages - Alerts, Clouds & Percentages
This is a fully customizable moving average cloud with alerts. It has 8 moving averages that can be individually set to any type such as: EMA, SMA, HMA, WMA, VWMA & RMA. Each moving average paints green when price is above it and paints red when price is below it. They include colored clouds between the price and each moving average as well.
You can individually change the length, colors, type of moving average and turn them off for those of you that only want a few moving averages on your chart at once.
There is also a percentage gap table that tells you how far away the price is from each moving average which are labeled accordingly.
You can also set alerts for when price crosses each moving average.
How To Use
When all the moving averages are green, buy dips down to the next lower moving average. When all the moving averages are red, short the tops up to the next moving average.
Trade in the direction of the trend and wait for all lines to turn one color before taking trades in that direction.
Make sure there is a big enough percentage gap to the next moving average before taking a trade.
This moving average can be used on all timeframes.
Try using numerous indicators of ours on your chart so you can instantly see the bullish or bearish trend of multiple indicators in real time without having to analyze the data. Some of our favorites are our Auto Fibonacci, RSI Scalper Ribbon, Combined Moving Averages + Squeeze & Volume Spikes, 1 Minute Scalper and Higher Timeframe Price Action Scanner or any combination of those with this moving average cloud. They all have unique features to help you make better and faster trading decisions.
April 20, 2022: Added ability to move percentage table to different areas on the chart.
April 21, 2022: Added ability to turn the percentage updates table on or off for users that don’t want that info.
May 25, 2022: Updated to make the percentage gap background color match the color of each moving average individually so it’s easier to identify each moving average.