Weighted Moving Average (WMA)
Last updated
Last updated
HTS's Weighted Moving Average indicator aims to provide better trend identification by smoothing out the price curve. WMA relies more on recent price data than Exponential Moving Average (EMA). Generally Weighted Moving Average will react slower than Moving Average Convergence Divergence, Exponential Moving Average Swing or Simple Moving Average (SMA), but it will give stronger trade signals.
Supported License | Supported Trade Types |
Beginner license | Spot trading |
Simple license | Margin trading |
Advanced license | Leverage trading |
The formula for Weighted Moving Average is the following:
WMA = np1 + (n - 1)p2 + .. + 2pn(n - 1) + pn / n +(n - 1) + .. 2 + 1
Exchange Website to monitor
Currency Pair to monitor for trade signals
Update Speed
Trade Signals
Tip: The exchange doesn't have to be the same exchange you are currently trading on.
Short Length
Represents the number of candles used for the shorter length calculation.
Long Length
Represents the number of candles used for the longer length calculation.
Swing
Adding a swing will create a minimum distance between the short and long result before the indicator will generate a signal.
The moving average based indicators (like this one) work well when they are evaluating data over a long period of time. This is because, the longer the timeline, the more accurate the average gets.
Moving averages perform best when there is a lot of volatility (meaning an overall uptrend or an overall downtrend). When prices are stable there is not enough movement, causing the moving averages to become too sensitive. In this situation too many buy and sell signals will be produced.
A moving average is recommended with an update speed of at least 20 minutes. The common intervals are between 20 minutes and 3 hours.
The moving averages work best with mainstream crypto coins like BTC, LTC, and ETH.
