OPEN-SOURCE SCRIPT

[Elite Algo Modded] test setup

Exponential Moving Average (EMA) is a technical analysis indicator used in financial markets to smooth out price data, giving more weight to recent prices. It's particularly helpful for identifying trends and trading signals in algorithmic trading.

Steps to Set Up an EMA

1. Understand the Formula: The EMA calculation involves:

EMA_t = (P_t × Multiplier) + (EMA_(t-1) × (1 − Multiplier)) Where:

: Current EMA

: Current price



: Number of periods



2. Select the Period:

Common choices are 9, 20, 50, or 200 periods based on the trading strategy.

Shorter periods (e.g., 9 or 12) react quickly to price changes.

Longer periods (e.g., 50 or 200) provide a smoother, less sensitive curve.



3. Input the Data:

Gather price data, typically closing prices.



4. Calculate the Multiplier:

Use the formula . For example, for a 10-period EMA: .



5. Calculate the Initial EMA:

Use a simple moving average (SMA) for the first period's EMA: .



6. Iterate for Subsequent EMA Values:

Apply the EMA formula recursively for each subsequent price.



7. Visualize the EMA:

Plot the EMA line on a chart to compare it with price action or other indicators.




Applications in Trading

Trend Identification:

Uptrend: Price stays above the EMA.

Downtrend: Price stays below the EMA.


Crossover Signals:

Bullish Signal: A shorter-period EMA crosses above a longer-period EMA.

Bearish Signal: A shorter-period EMA crosses below a longer-period EMA.

Chart patternseducationalFractal

开源脚本

本着真正的TradingView精神,此脚本的作者已将其开源,以便交易者可以理解和验证它。向作者致敬!您可以免费使用它,但在出版物中重复使用此代码受网站规则约束。 您可以收藏它以在图表上使用。

想在图表上使用此脚本?

免责声明