OPEN-SOURCE SCRIPT
Exponential Smoothing Filter

The digital exponential filter, in finance known as Exponential Moving Average (EMA), can be used as a technical indicator for chart analysis to visualize uptrends and downtrends in the market. Unlike the classic simple moving average, the EMA requires only two values for its calculation: the last calculated exponential average price and the current price. This is a simple and fast calculation - even for wide smoothing windows. For further details and the math please refer to the "exponential smoothing" article on Wikipedia.
Here are some additional key points about the exponential moving average:
[u]How to use[/u]
When you add the script to your charts, you'll immediately see a thin [color=orange]orange line[/orange] across your time series, smoothing out price fluctuations.
There are only two parameters to set
[u]Chart output[/u]
In the example chart above, you can see that the orange line follows the highs and lows better than the [color=blue]blue line[/color], which is a simple moving average (SMA).
Additionally, the orange line has a shorter lag, or reacts faster when the trend of the original price data suddenly changes. These characteristics are critical for buying and selling decisions: quickly reacting and tracking highs and lows while providing a smooth line that filters out distracting noise.
Here are some additional key points about the exponential moving average:
- The EMA can react more quickly to price changes because it can give more weight to current prices - depending on your parameter settings.
- Short-term, disruptive price fluctuations are smoothed out well, making prevailing trends more visible.
- Despite good smoothing properties, it delays the input values slightly, so it can follow sudden trend changes well.
- The EMA is well suited to dynamic markets and trading strategies.
- The filter is a good basis for further processing such as gradient analysis.
[u]How to use[/u]
When you add the script to your charts, you'll immediately see a thin [color=orange]orange line[/orange] across your time series, smoothing out price fluctuations.
There are only two parameters to set
- smoothing factor between 0.0000 = no smoothing and 0.9999 = strong smoothing
- input source: open, high, low, close hl2, etc.
[u]Chart output[/u]
In the example chart above, you can see that the orange line follows the highs and lows better than the [color=blue]blue line[/color], which is a simple moving average (SMA).
Additionally, the orange line has a shorter lag, or reacts faster when the trend of the original price data suddenly changes. These characteristics are critical for buying and selling decisions: quickly reacting and tracking highs and lows while providing a smooth line that filters out distracting noise.
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开源脚本
本着TradingView的真正精神,此脚本的创建者将其开源,以便交易者可以查看和验证其功能。向作者致敬!虽然您可以免费使用它,但请记住,重新发布代码必须遵守我们的网站规则。
免责声明
这些信息和出版物并不意味着也不构成TradingView提供或认可的金融、投资、交易或其它类型的建议或背书。请在使用条款阅读更多信息。