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tiingo data with riingo 

## Download financial data with riingo
## Perform various data manipulations with dplyr
## plot data with ggplot
## Athanassios Stavrakoudis 
## 29 Oct 2021

library(riingo)
library(tidyverse)

# Apple Inc daily prices
riingo_prices("AAPL",
              start_date   = "2021-01-01",
              resample_frequency = "daily") 

riingo_iex_prices("AAPL",
                  start_date   = "2021-01-01",
                  resample_frequency = "daily") 

# Apple Inc minute prices
riingo_iex_prices("AAPL",
                  start_date   = Sys.Date() - 1,
                  resample_frequency = "1min") 


# crypto currencies
riingo_crypto_prices("btcusd")

BTC <- riingo_crypto_prices("btcusd", start_date = "2011-01-01")

# plot bitcoin price
BTC %>% 
  ggplot(aes(x = date, y = close)) +
  geom_line() +
  theme_linedraw(base_size = 15, base_family = "NimbusSan")

# bitcoin price by mitute since yesterday
BTC <- riingo_crypto_prices("btcusd",
                            start_date   = Sys.Date() - 1,
                            resample_frequency = "1min")
BTC %>% 
  ggplot(aes(x = date, y = close)) +
  geom_line(color = "blue", size = 1) +
  theme_linedraw(base_size = 15, base_family = "NimbusSan")


# Foreign exchange rates
riingo_fx_prices("eurusd",
                 start_date   = Sys.Date() - 1,
                 resample_frequency = "1min") 

EURUSD <- riingo_fx_prices("eurusd",
                           start_date = Sys.Date() - 365, 
                           resample_frequency = "1day")

EURUSD %>% 
  ggplot(aes(x = date, y = close)) +
  geom_line(color = "blue", size = 1) +
  labs(y = "EUR/USD") +
  theme_linedraw(base_size = 15, base_family = "NimbusSan")


# multiple tickers
FX <- riingo_fx_prices(c("eurusd", "eurchf"),
                 start_date = Sys.Date() - 365, 
                 resample_frequency = "1day")

# plot multiple lines
FX %>% 
  ggplot(aes(x = date, y = close, colour = ticker)) +
  geom_line() +
  labs(y = "Exchange rate") +
  theme_linedraw(base_size = 15, base_family = "NimbusSan")

# facet plot
FX %>% 
  ggplot(aes(x = date, y = close)) +
  geom_line() +
  labs(y = "Exchange rate") +
  theme_linedraw(base_size = 15, base_family = "NimbusSan") +
  facet_wrap(~ticker)


# commodities
OIL <- riingo_prices("OIL", 
              start_date = "2010-01-01", 
              end_date = Sys.Date(),
              resample_frequency = "daily")

OIL %>% 
  ggplot(aes(x = date, y = close)) +
  geom_line() +
  labs(y = "Oil price") +
  theme_linedraw(base_size = 15, base_family = "NimbusSan")

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Athanassios Stavrakoudis, Sat 1 Nov 2025