> For the complete documentation index, see [llms.txt](https://cryptoquote.gitbook.io/cryptoquote/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://cryptoquote.gitbook.io/cryptoquote/apis/analytics-apis/technical-analysis/triple-exponential-moving-average-tema.md).

# Triple Exponential Moving Average (TEMA)

#### <mark style="color:orange;">Description</mark>

TEMA, Triple Exponential Moving Average is used to smooth out price data and reduce the lag that is inherent in other moving averages. It's similar to DEMA but uses a more complex formula to achieve a further smoothed average.

Calculate TEMA, first calculate the EMA of the price data over three different time periods. The TEMA is then calculated by taking the three EMAs and applying the formula for the DEMA to each of them then summing the results.&#x20;

The formula:

TEMA = 3*EMA - 3*EMA(EMA) + EMA(EMA(EMA))

TEMA is used to identify trends, if the price is above the TEMA, it may indicate an uptrend, while if the price is below the TEMA, it may indicate a downtrend. It's important to use the TEMA in combination with our other tools to make informed decisions.

{% embed url="<https://www.youtube.com/watch?index=28&list=PLog30vtb4ZA76-tBWML69sR_RuKNn1kaB&v=xTT5t6gqvbE>" %}

#### <mark style="color:orange;">End Point</mark>

#### <mark style="color:orange;">Example</mark>

<mark style="color:orange;">**Use Cases:**</mark>

## [Click here for a Free API key](https://www.cryptoquote.io/register) then [**Test the API yourself!**](https://www.cryptoquote.io/api_doc?code=ta_tema\&page=api_analytics)&#x20;