The Weighted Moving Average (WMA) is a technical indicator used by traders to assess trade direction and make buy or sell decisions. Unlike simple moving averages, the WMA assigns different weights to each data point, placing greater importance on recent observations. The calculation involves multiplying each data point by a predetermined weighting factor to derive a weighted average. Traders often leverage the WMA to identify trends and potential entry or exit points in the market.
Total Weight = 0.5 * wma_window * (wma_window + 1)
weights_ = [1, 2, …, wma_window]
weights = weights_ if asc else [wma_window, wma_window-1, …, 2, 1]
WMA = ∑(w i * x i) / Total Weight,
where
i ranges from 1 to wma window
. [Default: 10]
The trade signal generation is based on a comparison between the Weighted Moving Average values and the closing prices, considering both current and previous values.
In conclusion, the Weighted Moving Average (WMA) serves as a valuable tool for traders to gauge trade direction and make informed decisions. The use of weighted averages allows for a focus on recent price movements, potentially capturing trends more effectively. By incorporating WMA signals based on comparisons with closing prices, traders can develop strategies for entering, exiting, or holding positions in the market. As with any technical indicator, it is advisable to combine the WMA with other analysis techniques for a more comprehensive trading approach.
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