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eodhd is a private company thatoffers APIs to a set of comprehensive and high quality financial datafor over 70+ exchanges across the world. This includes:

Package eodhdR2 is the second and backwards incompatible version ofeodhd,allowing fast and intelligent access to most of the API’s endpoints.

Features

Installation

# available in CRANinstall.package("eodhdR2")# development versiondevtools::install_github("EodHistoricalData/R-Library-for-financial-data-2024")

Usage

Authentication

After registering in theeodhdwebsite and choosing a subscription, all users will authenticate anR session using a token from the website. For that:

While usingeodhdR2, all authentications are managedwith functioneodhdR2::set_token():

Alternatively, while testing the API, you can use the “demo” tokenfor demonstration.

token<- eodhdR2::get_demo_token()eodhdR2::set_token(token)#> ✔ eodhd API token set#> ℹ Account name: API Documentation 2 (supportlevel1@eodhistoricaldata.com)#> ℹ Quota: 57360 | 10000000#> ℹ Subscription: demo#> ✖ You are using a **DEMONSTRATION** token for testing pourposes, with#> limited access to the data repositories. See <https://eodhd.com/>#> for registration and, after finding your token, use it with#> function eodhdR2::set_token("TOKEN").

Examples

Retrieving Financial Prices

ticker<-"AAPL"exchange<-"US"df_prices<- eodhdR2::get_prices(ticker, exchange)#>#> ── retrieving price data for ticker AAPL|US ────────────────────────────────────#> ! Quota status: 57360|10000000, refreshing in 11.3 hours#> ℹ cache file AAPL_US_eodhd_prices.rds saved#> ✔ got 11246 rows of prices#> ℹ got daily data from 1980-12-12 to 2025-07-28head(df_prices)#>         date    open    high     low   close adjusted_close    volume ticker#> 1 1980-12-12 28.7392 28.8736 28.7392 28.7392         0.0986 469033600   AAPL#> 2 1980-12-15 27.3728 27.3728 27.2608 27.2608         0.0935 175884800   AAPL#> 3 1980-12-16 25.3792 25.3792 25.2448 25.2448         0.0866 105728000   AAPL#> 4 1980-12-17 25.8720 26.0064 25.8720 25.8720         0.0887  86441600   AAPL#> 5 1980-12-18 26.6336 26.7456 26.6336 26.6336         0.0914  73449600   AAPL#> 6 1980-12-19 28.2464 28.3808 28.2464 28.2464         0.0969  48630400   AAPL#>   exchange ret_adj_close#> 1       US            NA#> 2       US   -0.05172414#> 3       US   -0.07379679#> 4       US    0.02424942#> 5       US    0.03043968#> 6       US    0.06017505

library(ggplot2)p<-ggplot(df_prices,aes(y = adjusted_close,x = date))+geom_line()+theme_light()+labs(title ="Adjusted Prices of AAPL",subtitle ="Prices are adjusted to splits, dividends and other corporate events",x ="Data",y ="Adjusted Prices")p

Retrieving Dividends

ticker<-"AAPL"exchange<-"US"df_div<- eodhdR2::get_dividends(ticker, exchange)#>#> ── retrieving dividends for ticker AAPL|US ─────────────────────────────────────#> ! Quota status: 57368|10000000, refreshing in 11.3 hours#> ℹ cache file AAPL_US_eodhd_dividends.rds saved#> ✔ got 87 rows of dividend datahead(df_div)#>         date ticker exchange declarationDate recordDate paymentDate period#> 1 1987-05-11   AAPL       US            <NA>       <NA>        <NA>   <NA>#> 2 1987-08-10   AAPL       US            <NA>       <NA>        <NA>   <NA>#> 3 1987-11-17   AAPL       US            <NA>       <NA>        <NA>   <NA>#> 4 1988-02-12   AAPL       US            <NA>       <NA>        <NA>   <NA>#> 5 1988-05-16   AAPL       US            <NA>       <NA>        <NA>   <NA>#> 6 1988-08-15   AAPL       US            <NA>       <NA>        <NA>   <NA>#>     value unadjustedValue currency#> 1 0.00054         0.12096      USD#> 2 0.00054         0.06048      USD#> 3 0.00071         0.07952      USD#> 4 0.00071         0.07952      USD#> 5 0.00071         0.07952      USD#> 6 0.00071         0.07952      USD

library(ggplot2)p<-ggplot(df_div,aes(y = value,x = date))+geom_point(size =1)+theme_light()+labs(title ="Adjusted Dividends of AAPL",x ="Data",y ="Adjusted Dividends")p

Retrieving Fundamentals

ticker<-"AAPL"exchange<-"US"l_fun<- eodhdR2::get_fundamentals(ticker, exchange)#>#> ── retrieving fundamentals for ticker AAPL|US ──────────────────────────────────#> ! Quota status: 57370|10000000, refreshing in 11.3 hours#> ✔ querying API#> ✔ got 13 elements in raw listnames(l_fun)#>  [1] "General"             "Highlights"          "Valuation"#>  [4] "SharesStats"         "Technicals"          "SplitsDividends"#>  [7] "AnalystRatings"      "Holders"             "InsiderTransactions"#> [10] "ESGScores"           "outstandingShares"   "Earnings"#> [13] "Financials"

Parsing financials (widetable)

wide_financials<- eodhdR2::parse_financials(l_fun,"wide")#>#> ── Parsing financial data for Apple Inc | AAPL ──#>#> ℹ parsing Balance_Sheet  data#> ℹ    quarterly#> ℹ    yearly#> ℹ parsing Cash_Flow  data#> ℹ    quarterly#> ℹ    yearly#> ℹ parsing Income_Statement  data#> ℹ    quarterly#> ℹ    yearly#> ✔ got 576 rows of financial data (wide format)head(wide_financials)#> # A tibble: 6 × 127#>   date       filing_date ticker company_name frequency type_financial#>   <date>     <date>      <chr>  <chr>        <chr>     <chr>#> 1 2025-03-31 2025-05-02  AAPL   Apple Inc    quarterly Balance_Sheet#> 2 2024-12-31 2025-01-31  AAPL   Apple Inc    quarterly Balance_Sheet#> 3 2024-09-30 2024-11-01  AAPL   Apple Inc    quarterly Balance_Sheet#> 4 2024-06-30 2024-08-02  AAPL   Apple Inc    quarterly Balance_Sheet#> 5 2024-03-31 2024-05-03  AAPL   Apple Inc    quarterly Balance_Sheet#> 6 2023-12-31 2024-02-02  AAPL   Apple Inc    quarterly Balance_Sheet#> # ℹ 121 more variables: currency_symbol <chr>, totalAssets <dbl>,#> #   intangibleAssets <dbl>, earningAssets <dbl>, otherCurrentAssets <dbl>,#> #   totalLiab <dbl>, totalStockholderEquity <dbl>, deferredLongTermLiab <dbl>,#> #   otherCurrentLiab <dbl>, commonStock <dbl>, capitalStock <dbl>,#> #   retainedEarnings <dbl>, otherLiab <dbl>, goodWill <dbl>, otherAssets <dbl>,#> #   cash <dbl>, cashAndEquivalents <dbl>, totalCurrentLiabilities <dbl>,#> #   currentDeferredRevenue <dbl>, netDebt <dbl>, shortTermDebt <dbl>, …

Parsing financials (longtable)

long_financials<- eodhdR2::parse_financials(l_fun,"long")#>#> ── Parsing financial data for Apple Inc | AAPL ──#>#> ℹ parsing Balance_Sheet  data#> ℹ    quarterly#> ℹ    yearly#> ℹ parsing Cash_Flow  data#> ℹ    quarterly#> ℹ    yearly#> ℹ parsing Income_Statement  data#> ℹ    quarterly#> ℹ    yearly#> ✔ got 69120 rows of financial data (long format)head(long_financials)#> # A tibble: 6 × 9#>   date       filing_date ticker company_name frequency type_financial#>   <date>     <date>      <chr>  <chr>        <chr>     <chr>#> 1 2025-03-31 2025-05-02  AAPL   Apple Inc    quarterly Balance_Sheet#> 2 2025-03-31 2025-05-02  AAPL   Apple Inc    quarterly Balance_Sheet#> 3 2025-03-31 2025-05-02  AAPL   Apple Inc    quarterly Balance_Sheet#> 4 2025-03-31 2025-05-02  AAPL   Apple Inc    quarterly Balance_Sheet#> 5 2025-03-31 2025-05-02  AAPL   Apple Inc    quarterly Balance_Sheet#> 6 2025-03-31 2025-05-02  AAPL   Apple Inc    quarterly Balance_Sheet#> # ℹ 3 more variables: currency_symbol <chr>, name <chr>, value <dbl>