FMP

FMP

Enter

Double Exponential Moving Average API

About Double Exponential Moving Average API

Double Exponential Moving Average API Parameters

Query Parameter

Type

Example

symbol*

string

AAPL

periodLength*

number

10

timeframe*

string

1min5min15min30min1hour4hour1day

from

date

2024-12-27

to

date

2025-03-27

(*) Required

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Related Double Exponential Moving Average APIs

Double Exponential Moving Average API FAQs

Which Exponential Moving Average (EMA) do you use?

The "EMA" corresponds to the period you set for the technical indicator.

How do you calculate the Exponential Moving Average (EMA) data on the Technical Indicators endpoint?

For the Exponential Moving Average (EMA), the period calculates the ema over the 13 most recent daily intervals. It aligns with the indicator period. For example, if you used the daily technical indicator and set the period to 13, it would calculate EMA using data from the last 13 days.

How the FMP calculate the "AvgVol"?

The formula used to calculate Volume-Weighted Average Price (VWAP) is: vwap = ((high + low + close) / 3 * volume) / volume

How do you calculate the "changeOverTime" data?

The formula to calculate "changeOverTime" is: changeOverTime= close - open / open

Does the ten year, five year, three year growth rates represent the total growth rate over that period or the average annual growth rate?

The growth rates represent the total growth rate over the specified period.

What is the period used to calculate Volume-Weighted Average Price (VWAP)?

The formula used to calculate Volume-Weighted Average Price (VWAP) is: vwap = ((high + low + close) / 3 * volume) / volume

How do you calculate the "change" data?

The formula used to calculate the "change" is: Change= close - open

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FMP

FMP

Financial Modeling Prep API provides real time stock price, company financial statements, major index prices, stock historical data, forex real time rate and cryptocurrencies. Financial Modeling Prep stock price API is in real time, the company reports can be found in quarter or annual format, and goes back 30 years in history.
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