{cryptoQuotes}: Open access to cryptocurrency market data in R (Update)

The {cryptoQuotes}-package have been updated to version 1.3.0. With this update comes many new features,  and breaking changes. Prior to version 1.3.0 the package were using camelCase (See for example this post), with no particular style guide. The package now uses the tidyverse style guide which, in return, have deprecated a few core functions.

Note: Only the styling is affected, the returned market data is still xts/zoo-objects

Of the many new features and enhancements includes dark and light themed charting, and  a wide array of new sentiment indicators. The full documentation can be found on pkgdown.

In this blog post the new charting features will be showcased using hourly Bitcoin OHLC-V and long-short ratios from the last two days (From writing this draft).

Cryptocurrency market data in R

# 0) load library
library(cryptoQuotes)

To extract the Bitcoin OHLC-V,  the get_quote()-function [previously getQuote()]  is used as  shown below,

# 1) extract last two
# days of Bitcoin on the
# hourly chart
tail(
  BTC <- get_quote(
    ticker   = "BTCUSDT",
    source   = "binance",
    interval = "1h",
    from     = Sys.Date() - 2
  )
)
#>                        open    high     low   close    volume
#> 2024-06-05 02:00:00 70580.0 70954.1 70462.8 70820.1  7593.081
#> 2024-06-05 03:00:00 70820.2 71389.8 70685.9 71020.7 11466.934
#> 2024-06-05 04:00:00 71020.7 71216.0 70700.0 70892.1  7824.993
#> 2024-06-05 05:00:00 70892.2 71057.0 70819.1 70994.0  5420.481
#> 2024-06-05 06:00:00 70994.0 71327.9 70875.9 71220.2  7955.595
#> 2024-06-05 07:00:00 71220.2 71245.0 70922.0 70988.8  3500.795

The long-short ratios on Bitcoin in the same hourly interval is retrieved using the get_lsratio()-function [previously getLSRatio()] as shown below,

# 2) extract last two days
# of long-short ratio on
# Bitcoin
tail(
  BTC_LS <- get_lsratio(
    ticker   = "BTCUSDT",
    source   = "binance",
    interval = "1h",
    from     = Sys.Date() - 2
  )
)
#>                       long  short  ls_ratio
#> 2024-06-05 02:00:00 0.4925 0.5075 0.9704433
#> 2024-06-05 03:00:00 0.4938 0.5062 0.9755038
#> 2024-06-05 04:00:00 0.4942 0.5058 0.9770660
#> 2024-06-05 05:00:00 0.4901 0.5099 0.9611689
#> 2024-06-05 06:00:00 0.4884 0.5116 0.9546521
#> 2024-06-05 07:00:00 0.4823 0.5177 0.9316206

Prior to version 1.3.0 all charting with indicators were done with the magrittr-pipe operator, both internally and externally. This came with a overhead on both efficiency and readability (Opinionated, I know). The charting has been reworked in terms of layout and syntax.

Below is an example of a dark-themed chart with the long-short ratio alongside simple moving averages, bollinger bands and volume indicators,

# 3) dark-themed
# chart
chart(
  ticker = BTC,
  main   = kline(),
  indicator = list(
    bollinger_bands(),
    sma(n = 7),
    sma(n = 14)

  ),
  sub = list(
    volume(),
    lsr(ratio = BTC_LS)
  )
)

< !-- -->

The light-themed chart have been reworked, and have received some extra love, such that its different from the default colors provided by the {plotly}-package,

# 4) light-themed
# chart
chart(
  ticker = BTC,
  main   = kline(),
  indicator = list(
    bollinger_bands(),
    sma(n = 7),
    sma(n = 14)
  ),
  sub = list(
    volume(),
    lsr(ratio = BTC_LS)
  ),
  options = list(
    dark = FALSE
  )
)

< !-- -->

About the {cryptoQuotes}-package

The {cryptoQuotes}-package is a high-level API-client that interacts with public market data endpoints from major cryptocurrency exchanges using the {curl}-package.

The endpoints, which are publicly accessible and maintained by the exchanges themselves, ensure a consistent and reliable access to high-quality cryptocurrency market data with R.

Installing {cryptoQuotes}
The {cryptoQuotes}-package can be installed via CRAN,

# installing {cryptoQuotes}
install.packages(
  pkgs ="cryptoQuotes",
  dependencies = TRUE
)

^{Created on 2024-06-05 with reprex v2.1.0}

---

{cryptoQuotes}: Open access to cryptocurrency market data in R (Update) was first posted on June 12, 2024 at 6:21 pm.