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Relative Strength Index API

The FMP RSI endpoint provides the Relative Strength Index (RSI) for a security over a specified period of time.

About Relative Strength Index API

The FMP RSI endpoint provides the Relative Strength Index (RSI) for a security over a specified period of time. The RSI is a momentum indicator that measures the magnitude of recent price changes to evaluate overbought or oversold conditions in the price of a stock or other asset. The RSI is displayed as an oscillator (a line graph that moves between two extremes) and can range from 0 to 100. The FMP RSI endpoint is a valuable tool for investors who need to:
  • Identify overbought and oversold conditions in a security's price
  • Measure the strength of a trend
  • Develop trading strategies based on technical analysis
  • How it works

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    Related Relative Strength Index APIs

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    Simple Moving Average

    The FMP SMA endpoint provides the simple moving average of a security's closing price over a specified period of time. Read more

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    Standard Deviation

    The FMP Standard Deviation endpoint provides the standard deviation of a security's closing price over a specified period of time Read more

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    Williams

    The FMP Williams endpoint provides the Williams %R indicator for a security over a specified period of time. Read more

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    Average Directional Index

    The FMP ADX endpoint provides the Average Directional Index (ADX) for a security over a specified period of time. Read more

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    Double EMA

    The FMP DEMA endpoint provides the double exponential moving average of a security's closing price over a specified period of time. Read more

    Relative Strength Index API FAQs

    Is the Intraday price adjusted?

    Yes, the intraday data is adjusted for split.

    How many years of intraday data I can get in one query?

    Due to the sheer size and volume of the historical intraday price data there are limits to the number of records that can be returned in a given query. Contact our support team for more information.

    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.

    What does the “period=” parameter mean on the Technical Indicator endpoints?

    The “period=” parameter is a period for the type, for example, “sma” is a simple moving average, so if the period is 20 (period=20), it will be on the last 20 candles like the last 20 periods.

    How can I retrieve historical intraday price data for more than 1 month?

    To retrieve historical intraday price data for more than 1 month, you will need to implement a loop that iterates over day intervals covering the entire desired time range. This approach ensures a suitable response speed for the data being returned. For example, if you require more than 1 month of 30-minute data, you can make queries over day intervals to cover the entire desired time range. Here is an example link for retrieving 1-minute data: https://financialmodelingprep.com/api/v3/historical-chart/1min/AAPL?from=2024-12-04&to=2024-12-06&apikey=YOUR-API-KEY

    Where can I find information on using weekly or monthly resolutions for historical chart data?

    You can find information on using weekly or monthly resolutions for historical chart data in the Intraday chart API documentation. Visit the following link for more details: https://site.financialmodelingprep.com/developer/docs#chart-intraday

    How can I build a detailed dividend yield chart with the same resolution as intraday price charts using your APIs?

    You can retrieve the Dividend yield data using the Ratios API for quarter or annual frequency. For more information, you can visit our documentation here: https://site.financialmodelingprep.com/developer/docs#ratios-statement-analysis

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    FMP

    FMP

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