README.md
In blairj09/cryptor: An R Wrapper for the CryptoCompare API
cryptor
cryptor provides a basic wrapper around the public API provided by CryptoCompare. CryptoCompare has provided a very comprehensive public cryptocurrency API. This package strives to create a clean and intuitive R interface for that API.
Installation
You can install cryptor from github with:
# install.packages("devtools")
devtools::install_github("blairj09/cryptor")
Usage
This package comes with several functions that map directly to CryptoCompare API endpoints. These functions center on price and other coin details for various cryptorcurrencies. CryptoCompare integrates with several exchanges and the exchange to be queried can often be requested. However, the default exchange of CCCAGG often works the best. The following outlines common use cases for various functions.
library(cryptor)
Available Exchanges
Possible exchanges to query can be requested using the get_exchanges() function. This returns a comprehensive tibble of available exchanges along with each market available on that exchange.
exchanges <- get_exchanges()
head(exchanges)
#> # A tibble: 6 x 3
#> exchange coin market
#> <chr> <chr> <chr>
#> 1 Cryptsy 42 BTC
#> 2 Cryptsy 42 XRP
#> 3 Cryptsy RDD LTC
#> 4 Cryptsy RDD USD
#> 5 Cryptsy RDD XRP
#> 6 Cryptsy RDD BTC
In this case, the exchange column contains the name of the exchange while the coin column contains the coin and the market column contains the market supported for coin on a given exchange. All possible exchanges can be identified by running unique(get_exchanges()$exchage).
Available Coins
All coins supported by the API and correspanding details can be obtained using the get_coins() function.
coins <- get_coins()
head(coins)
#> # A tibble: 6 x 16
#> id url image_url name symbol coin_name full_name algorithm
#> <int> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 4321 /coins/… /media/1231… 42 42 42 Coin 42 Coin (… Scrypt
#> 2 749869 /coins/… /media/2701… 300 300 300 token 300 token… <NA>
#> 3 33639 /coins/… /media/3520… 365 365 365Coin 365Coin (… X11
#> 4 21227 /coins/… /media/3510… 404 404 404Coin 404Coin (… Scrypt
#> 5 20909 /coins/… /media/3509… 611 611 SixEleven SixEleven… SHA256
#> 6 28223 /coins/… /media/3515… 808 808 808 808 (808) SHA256
#> # ... with 8 more variables: proof_type <chr>, fully_premined <int>,
#> # total_coin_supply <chr>, pre_mined_value <chr>,
#> # total_coins_free_float <chr>, sort_order <int>, sponsored <lgl>,
#> # is_trading <lgl>
Current Price Data
There are two main functions for retreiving current price data. get_price() simply returns the price of the requested coins. get_price_details() returns current price data along with open, close, and other 24 hour price statistics. Price functions take two main parameters: fsym(s) and tsym(s). These parameters specify the requested coin(s) (fsym(s)) and the currency the price is reported in (tsym(s)). The following examples illustrate getting price data for Bitcoin (BTC) and Etherium (ETH) in terms of US Dollars (USD).
get_price(c("BTC", "ETH"), "USD")
#> # A tibble: 2 x 3
#> fromsymbol tosymbol price
#> <chr> <chr> <dbl>
#> 1 BTC USD 10439.
#> 2 ETH USD 861.
get_price_details(c("BTC", "ETH"), "USD")
#> # A tibble: 2 x 29
#> type market fromsymbol tosymbol flags price lastupdate
#> <int> <chr> <chr> <chr> <int> <dbl> <dttm>
#> 1 5 CCCAGG BTC USD 2 10439. 2018-03-01 04:24:46
#> 2 5 CCCAGG ETH USD 4 861. 2018-03-01 04:24:49
#> # ... with 22 more variables: lastvolume <dbl>, lastvolumeto <dbl>,
#> # lasttradeid <int>, volumeday <dbl>, volumedayto <dbl>,
#> # volume24hour <dbl>, volume24hourto <dbl>, openday <dbl>,
#> # highday <dbl>, lowday <dbl>, open24hour <dbl>, high24hour <dbl>,
#> # low24hour <dbl>, lastmarket <chr>, change24hour <dbl>,
#> # changepct24hour <dbl>, changeday <dbl>, changepctday <dbl>,
#> # supply <dbl>, mktcap <dbl>, totalvolume24h <dbl>,
#> # totalvolume24hto <dbl>
Historical Price Data
Historical price data can be retreived using get_historical_price(). Price can be obtained at the daily, hourly, or minute level. Minute level data is only available for the past 7 days. Anything beyond 7 days must be either daily or hourly data. The following example demonstrates how to get NEO to USD data for the past 7 days.
As a note, it seems that the API sometimes returns all historical entries, regardless of the limit provided.
btc_price_history <- get_historical_price("NEO", "USD")
head(btc_price_history)
#> # A tibble: 6 x 7
#> time close high low open volumefrom volumeto
#> <dttm> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 2018-01-30 00:00:00 144. 169. 136. 167. 450127. 67979718.
#> 2 2018-01-31 00:00:00 146. 147. 131. 144. 266456. 37414174.
#> 3 2018-02-01 00:00:00 126. 147. 114. 146. 368930. 47844293.
#> 4 2018-02-02 00:00:00 122. 132. 94.0 126. 700073. 79912243.
#> 5 2018-02-03 00:00:00 124. 130. 107. 122. 247394. 29901510.
#> 6 2018-02-04 00:00:00 107. 125. 99.4 124. 304361. 33951028.
Snapshot Data
CrytpoCompare provides endpoints for "snapshot data". These endpoints provide summarized data about individual coins and coin pairs.
btc_snapshot <- get_coin_snapshot(1182)
names(btc_snapshot)
#> [1] "page_title" "page_description"
#> [3] "base_url" "base_image_url"
#> [5] "og_image_url" "og_image_width"
#> [7] "og_image_height" "id"
#> [9] "document_type" "h1text"
#> [11] "danger_top" "warning_top"
#> [13] "info_top" "symbol"
#> [15] "url" "base_angular_url"
#> [17] "name" "image_url"
#> [19] "description" "features"
#> [21] "technology" "total_coin_supply"
#> [23] "difficulty_adjustment" "block_reward_reduction"
#> [25] "algorithm" "proof_type"
#> [27] "start_date" "twitter"
#> [29] "website_url" "website"
#> [31] "last_block_explorer_update_ts" "block_number"
#> [33] "block_time" "net_hashes_per_second"
#> [35] "total_coins_mined" "previous_total_coins_mined"
#> [37] "block_reward" "status"
#> [39] "white_paper"
get_pair_snapshot("BTC", "ETH")
#> $coin_data
#> # A tibble: 1 x 6
#> algorithm proof_type block_number net_hashes_per_second total_coins_min…
#> <chr> <chr> <int> <dbl> <int>
#> 1 SHA256 PoW 511412 21528020746. 16892625
#> # ... with 1 more variable: block_reward <dbl>
#>
#> $aggregated_data
#> # A tibble: 1 x 21
#> type market fromsymbol tosymbol flags price lastupdate
#> <int> <chr> <chr> <chr> <int> <dbl> <dttm>
#> 1 5 CCCAGG BTC ETH 4 12.5 2018-03-01 03:54:49
#> # ... with 14 more variables: lastvolume <dbl>, lastvolumeto <dbl>,
#> # lasttradeid <dbl>, volumeday <dbl>, volumedayto <dbl>,
#> # volume24hour <dbl>, volume24hourto <dbl>, openday <int>,
#> # highday <dbl>, lowday <dbl>, open24hour <dbl>, high24hour <dbl>,
#> # low24hour <dbl>, lastmarket <chr>
#>
#> $exchange_data
#> # A tibble: 2 x 15
#> type market fromsymbol tosymbol flags price lastupdate
#> <int> <chr> <chr> <chr> <int> <dbl> <dttm>
#> 1 2 Bleutrade BTC ETH 1 12.5 2018-03-01 03:54:49
#> 2 2 LocalBitcoins BTC ETH 1 12.4 2018-03-01 01:17:41
#> # ... with 8 more variables: lastvolume <dbl>, lastvolumeto <dbl>,
#> # lasttradeid <dbl>, volume24hour <dbl>, volume24hourto <dbl>,
#> # open24hour <dbl>, high24hour <dbl>, low24hour <dbl>
Social Data
One of the most impressive features of the CryptoCompare API is the ability to query some basic social stats for a given coin. The data provided contains details about the coin's github repositories, page view data from CryptoCompare's main website, and a listing of similar coins. This data can be accessed as follows:
# Social stats for Bitcoin
eth_social_stats <- get_social(1182)
str(eth_social_stats)
#> List of 6
#> $ similar_items :Classes 'tbl_df', 'tbl' and 'data.frame': 10 obs. of 6 variables:
#> ..$ id : int [1:10] 7605 5031 3808 127356 4614 202330 5038 27368 4433 24854
#> ..$ name : chr [1:10] "Ethereum" "Ripple" "Litecoin" "IOTA" ...
#> ..$ full_name : chr [1:10] "Ethereum (ETH)" "Ripple (XRP)" "Litecoin (LTC)" "IOTA (IOT)" ...
#> ..$ image_url : chr [1:10] "/media/20646/eth_logo.png" "/media/19972/ripple.png" "/media/19782/litecoin-logo.png" "/media/1383540/iota_logo.png" ...
#> ..$ url : chr [1:10] "/coins/eth/" "/coins/xrp/" "/coins/ltc/" "/coins/iot/" ...
#> ..$ following_type: int [1:10] 1 1 1 1 1 1 1 1 1 1
#> $ cryptopian_followers :Classes 'tbl_df', 'tbl' and 'data.frame': 11 obs. of 5 variables:
#> ..$ id : int [1:11] 793242 542859 787925 607981 793225 721781 793179 793172 669752 793138 ...
#> ..$ name : chr [1:11] "zhanglunkai1013" "captainbutters00" "johansistemas15" "rodrigo.gallego" ...
#> ..$ image_url: chr [1:11] "https://images.cryptocompare.com/793242/993f8fd6-2de9-4a47-9c98-fda824300c05.jpg" "https://images.cryptocompare.com/542859/63929c86-be0f-47fb-939b-b146398afef3.jpg" "https://images.cryptocompare.com/787925/f35f3d6f-571c-49f7-bbfa-1e54b2f7b1d5.jpg" "https://images.cryptocompare.com/607981/50114a79-d8f0-4b7f-84f3-c4983045d0f5.jpg" ...
#> ..$ url : chr [1:11] "/profile/zhanglunkai1013/" "/profile/captainbutters00/" "/profile/johansistemas15/" "/profile/rodrigo.gallego/" ...
#> ..$ type : chr [1:11] "Cryptopian" "Cryptopian" "Cryptopian" "Cryptopian" ...
#> $ page_views :Classes 'tbl_df', 'tbl' and 'data.frame': 8 obs. of 2 variables:
#> ..$ page : chr [1:8] "overview" "markets" "analysis" "charts" ...
#> ..$ views: int [1:8] 14516361 1036994 679524 4779403 440181 50035 3089168 42486
#> $ crypto_compare_summary:Classes 'tbl_df', 'tbl' and 'data.frame': 1 obs. of 5 variables:
#> ..$ points : int 3490360
#> ..$ followers : int 52666
#> ..$ posts : int 47524
#> ..$ comments : int 98561
#> ..$ page_views: int 24634152
#> $ social_media :List of 3
#> ..$ Twitter :Classes 'tbl_df', 'tbl' and 'data.frame': 1 obs. of 9 variables:
#> .. ..$ following : int 127
#> .. ..$ account_creation: int 1313643968
#> .. ..$ name : chr "Bitcoin"
#> .. ..$ lists : int 6362
#> .. ..$ statuses : int 19537
#> .. ..$ favourites : int 241
#> .. ..$ followers : int 792646
#> .. ..$ link : chr "https://twitter.com/bitcoin"
#> .. ..$ points : int 824475
#> ..$ Reddit :Classes 'tbl_df', 'tbl' and 'data.frame': 1 obs. of 10 variables:
#> .. ..$ posts_per_hour : num 11.2
#> .. ..$ comments_per_hour : num 157
#> .. ..$ posts_per_day : num 270
#> .. ..$ comments_per_day : num 3766
#> .. ..$ name : chr "Bitcoin"
#> .. ..$ link : chr "https://www.reddit.com/r/bitcoin/"
#> .. ..$ active_users : int 9370
#> .. ..$ community_creation: int 1284042626
#> .. ..$ subscribers : int 755430
#> .. ..$ points : int 791072
#> ..$ Facebook:Classes 'tbl_df', 'tbl' and 'data.frame': 1 obs. of 6 variables:
#> .. ..$ likes : int 37288
#> .. ..$ link : chr "https://www.facebook.com/bitcoins/"
#> .. ..$ is_closed : chr "false"
#> .. ..$ talking_about: int 163
#> .. ..$ name : chr "Bitcoin P2P Cryptocurrency"
#> .. ..$ points : int 37288
#> $ repo_summary :Classes 'tbl_df', 'tbl' and 'data.frame': 4 obs. of 18 variables:
#> ..$ created_at : int [1:4] 1363239994 1384835603 1304525025 1292771803
#> ..$ open_total_issues : int [1:4] 28 224 25 902
#> ..$ parent : logi [1:4] NA NA NA NA
#> ..$ size : int [1:4] 1174 17220 3003 85755
#> ..$ closed_total_issues: int [1:4] 139 1294 11528 987
#> ..$ stars : int [1:4] 761 2089 2420 28498
#> ..$ last_update : POSIXct[1:4], format: "2018-02-27 14:56:00" ...
#> ..$ forks : int [1:4] 267 1372 786 16892
#> ..$ url : chr [1:4] "https://github.com/petertodd/python-bitcoinlib" "https://github.com/bitcoinj/bitcoinj" "https://github.com/bitcoinjs/bitcoinjs-lib" "https://github.com/bitcoin/bitcoin"
#> ..$ closed_issues : int [1:4] 46 621 3154 404
#> ..$ closed_pull_issues : int [1:4] 93 673 8374 583
#> ..$ fork : chr [1:4] "false" "false" "false" "false"
#> ..$ last_push : int [1:4] 1519197806 1519839412 1519115258 1519873006
#> ..$ source : logi [1:4] NA NA NA NA
#> ..$ open_pull_issues : int [1:4] 13 24 295 8
#> ..$ language : chr [1:4] "Python" "Java" "JavaScript" "C++"
#> ..$ subscribers : int [1:4] 96 275 162 3036
#> ..$ open_issues : int [1:4] 15 200 607 17
Pairs Data
Details about top cryptocurrency pairs (by volume) can be retrived using get_top_pairs().
# Top ETH pairs
get_top_pairs("ETH")
#> # A tibble: 5 x 5
#> exchange from_symbol to_symbol volume24h volume24h_to
#> <chr> <chr> <chr> <dbl> <dbl>
#> 1 CCCAGG ETH BTC 444023. 36448.
#> 2 CCCAGG ETH USD 218294. 188899250.
#> 3 CCCAGG ETH USDT 194037. 168134922.
#> 4 CCCAGG ETH KRW 43634. 42774963078.
#> 5 CCCAGG ETH EUR 38286. 27117875.
API Limits
The API has hour, minute, and second call rate limits. These limits, along with calls made against the limit, can be retrieved using get_api_limit() as follows:
# Second limit
get_api_limit("second")
#> # A tibble: 2 x 5
#> call_metric histo price news strict
#> <chr> <int> <int> <int> <int>
#> 1 calls_made 0 1 0 0
#> 2 calls_left 15 49 5 1
# Minute limit
get_api_limit("minute")
#> # A tibble: 2 x 5
#> call_metric histo price news strict
#> <chr> <int> <int> <int> <int>
#> 1 calls_made 1 5 0 0
#> 2 calls_left 299 995 100 20
# Hour limit
get_api_limit("hour")
#> # A tibble: 2 x 5
#> call_metric histo price news strict
#> <chr> <int> <int> <int> <int>
#> 1 calls_made 10 31 4 2
#> 2 calls_left 7990 149969 2996 498
blairj09/cryptor documentation built on May 23, 2019, 7:32 a.m.
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cryptor
cryptor provides a basic wrapper around the public API provided by CryptoCompare. CryptoCompare has provided a very comprehensive public cryptocurrency API. This package strives to create a clean and intuitive R interface for that API.
Installation
You can install cryptor from github with:
# install.packages("devtools")
devtools::install_github("blairj09/cryptor")
Usage
This package comes with several functions that map directly to CryptoCompare API endpoints. These functions center on price and other coin details for various cryptorcurrencies. CryptoCompare integrates with several exchanges and the exchange to be queried can often be requested. However, the default exchange of CCCAGG often works the best. The following outlines common use cases for various functions.
library(cryptor)
Available Exchanges
Possible exchanges to query can be requested using the get_exchanges() function. This returns a comprehensive tibble of available exchanges along with each market available on that exchange.
exchanges <- get_exchanges()
head(exchanges)
#> # A tibble: 6 x 3
#> exchange coin market
#> <chr> <chr> <chr>
#> 1 Cryptsy 42 BTC
#> 2 Cryptsy 42 XRP
#> 3 Cryptsy RDD LTC
#> 4 Cryptsy RDD USD
#> 5 Cryptsy RDD XRP
#> 6 Cryptsy RDD BTC
In this case, the exchange column contains the name of the exchange while the coin column contains the coin and the market column contains the market supported for coin on a given exchange. All possible exchanges can be identified by running unique(get_exchanges()$exchage).
Available Coins
All coins supported by the API and correspanding details can be obtained using the get_coins() function.
coins <- get_coins()
head(coins)
#> # A tibble: 6 x 16
#> id url image_url name symbol coin_name full_name algorithm
#> <int> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 4321 /coins/… /media/1231… 42 42 42 Coin 42 Coin (… Scrypt
#> 2 749869 /coins/… /media/2701… 300 300 300 token 300 token… <NA>
#> 3 33639 /coins/… /media/3520… 365 365 365Coin 365Coin (… X11
#> 4 21227 /coins/… /media/3510… 404 404 404Coin 404Coin (… Scrypt
#> 5 20909 /coins/… /media/3509… 611 611 SixEleven SixEleven… SHA256
#> 6 28223 /coins/… /media/3515… 808 808 808 808 (808) SHA256
#> # ... with 8 more variables: proof_type <chr>, fully_premined <int>,
#> # total_coin_supply <chr>, pre_mined_value <chr>,
#> # total_coins_free_float <chr>, sort_order <int>, sponsored <lgl>,
#> # is_trading <lgl>
Current Price Data
There are two main functions for retreiving current price data. get_price() simply returns the price of the requested coins. get_price_details() returns current price data along with open, close, and other 24 hour price statistics. Price functions take two main parameters: fsym(s) and tsym(s). These parameters specify the requested coin(s) (fsym(s)) and the currency the price is reported in (tsym(s)). The following examples illustrate getting price data for Bitcoin (BTC) and Etherium (ETH) in terms of US Dollars (USD).
get_price(c("BTC", "ETH"), "USD")
#> # A tibble: 2 x 3
#> fromsymbol tosymbol price
#> <chr> <chr> <dbl>
#> 1 BTC USD 10439.
#> 2 ETH USD 861.
get_price_details(c("BTC", "ETH"), "USD")
#> # A tibble: 2 x 29
#> type market fromsymbol tosymbol flags price lastupdate
#> <int> <chr> <chr> <chr> <int> <dbl> <dttm>
#> 1 5 CCCAGG BTC USD 2 10439. 2018-03-01 04:24:46
#> 2 5 CCCAGG ETH USD 4 861. 2018-03-01 04:24:49
#> # ... with 22 more variables: lastvolume <dbl>, lastvolumeto <dbl>,
#> # lasttradeid <int>, volumeday <dbl>, volumedayto <dbl>,
#> # volume24hour <dbl>, volume24hourto <dbl>, openday <dbl>,
#> # highday <dbl>, lowday <dbl>, open24hour <dbl>, high24hour <dbl>,
#> # low24hour <dbl>, lastmarket <chr>, change24hour <dbl>,
#> # changepct24hour <dbl>, changeday <dbl>, changepctday <dbl>,
#> # supply <dbl>, mktcap <dbl>, totalvolume24h <dbl>,
#> # totalvolume24hto <dbl>
Historical Price Data
Historical price data can be retreived using get_historical_price(). Price can be obtained at the daily, hourly, or minute level. Minute level data is only available for the past 7 days. Anything beyond 7 days must be either daily or hourly data. The following example demonstrates how to get NEO to USD data for the past 7 days.
As a note, it seems that the API sometimes returns all historical entries, regardless of the limit provided.
btc_price_history <- get_historical_price("NEO", "USD")
head(btc_price_history)
#> # A tibble: 6 x 7
#> time close high low open volumefrom volumeto
#> <dttm> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 2018-01-30 00:00:00 144. 169. 136. 167. 450127. 67979718.
#> 2 2018-01-31 00:00:00 146. 147. 131. 144. 266456. 37414174.
#> 3 2018-02-01 00:00:00 126. 147. 114. 146. 368930. 47844293.
#> 4 2018-02-02 00:00:00 122. 132. 94.0 126. 700073. 79912243.
#> 5 2018-02-03 00:00:00 124. 130. 107. 122. 247394. 29901510.
#> 6 2018-02-04 00:00:00 107. 125. 99.4 124. 304361. 33951028.
Snapshot Data
CrytpoCompare provides endpoints for "snapshot data". These endpoints provide summarized data about individual coins and coin pairs.
btc_snapshot <- get_coin_snapshot(1182)
names(btc_snapshot)
#> [1] "page_title" "page_description"
#> [3] "base_url" "base_image_url"
#> [5] "og_image_url" "og_image_width"
#> [7] "og_image_height" "id"
#> [9] "document_type" "h1text"
#> [11] "danger_top" "warning_top"
#> [13] "info_top" "symbol"
#> [15] "url" "base_angular_url"
#> [17] "name" "image_url"
#> [19] "description" "features"
#> [21] "technology" "total_coin_supply"
#> [23] "difficulty_adjustment" "block_reward_reduction"
#> [25] "algorithm" "proof_type"
#> [27] "start_date" "twitter"
#> [29] "website_url" "website"
#> [31] "last_block_explorer_update_ts" "block_number"
#> [33] "block_time" "net_hashes_per_second"
#> [35] "total_coins_mined" "previous_total_coins_mined"
#> [37] "block_reward" "status"
#> [39] "white_paper"
get_pair_snapshot("BTC", "ETH")
#> $coin_data
#> # A tibble: 1 x 6
#> algorithm proof_type block_number net_hashes_per_second total_coins_min…
#> <chr> <chr> <int> <dbl> <int>
#> 1 SHA256 PoW 511412 21528020746. 16892625
#> # ... with 1 more variable: block_reward <dbl>
#>
#> $aggregated_data
#> # A tibble: 1 x 21
#> type market fromsymbol tosymbol flags price lastupdate
#> <int> <chr> <chr> <chr> <int> <dbl> <dttm>
#> 1 5 CCCAGG BTC ETH 4 12.5 2018-03-01 03:54:49
#> # ... with 14 more variables: lastvolume <dbl>, lastvolumeto <dbl>,
#> # lasttradeid <dbl>, volumeday <dbl>, volumedayto <dbl>,
#> # volume24hour <dbl>, volume24hourto <dbl>, openday <int>,
#> # highday <dbl>, lowday <dbl>, open24hour <dbl>, high24hour <dbl>,
#> # low24hour <dbl>, lastmarket <chr>
#>
#> $exchange_data
#> # A tibble: 2 x 15
#> type market fromsymbol tosymbol flags price lastupdate
#> <int> <chr> <chr> <chr> <int> <dbl> <dttm>
#> 1 2 Bleutrade BTC ETH 1 12.5 2018-03-01 03:54:49
#> 2 2 LocalBitcoins BTC ETH 1 12.4 2018-03-01 01:17:41
#> # ... with 8 more variables: lastvolume <dbl>, lastvolumeto <dbl>,
#> # lasttradeid <dbl>, volume24hour <dbl>, volume24hourto <dbl>,
#> # open24hour <dbl>, high24hour <dbl>, low24hour <dbl>
Social Data
One of the most impressive features of the CryptoCompare API is the ability to query some basic social stats for a given coin. The data provided contains details about the coin's github repositories, page view data from CryptoCompare's main website, and a listing of similar coins. This data can be accessed as follows:
# Social stats for Bitcoin
eth_social_stats <- get_social(1182)
str(eth_social_stats)
#> List of 6
#> $ similar_items :Classes 'tbl_df', 'tbl' and 'data.frame': 10 obs. of 6 variables:
#> ..$ id : int [1:10] 7605 5031 3808 127356 4614 202330 5038 27368 4433 24854
#> ..$ name : chr [1:10] "Ethereum" "Ripple" "Litecoin" "IOTA" ...
#> ..$ full_name : chr [1:10] "Ethereum (ETH)" "Ripple (XRP)" "Litecoin (LTC)" "IOTA (IOT)" ...
#> ..$ image_url : chr [1:10] "/media/20646/eth_logo.png" "/media/19972/ripple.png" "/media/19782/litecoin-logo.png" "/media/1383540/iota_logo.png" ...
#> ..$ url : chr [1:10] "/coins/eth/" "/coins/xrp/" "/coins/ltc/" "/coins/iot/" ...
#> ..$ following_type: int [1:10] 1 1 1 1 1 1 1 1 1 1
#> $ cryptopian_followers :Classes 'tbl_df', 'tbl' and 'data.frame': 11 obs. of 5 variables:
#> ..$ id : int [1:11] 793242 542859 787925 607981 793225 721781 793179 793172 669752 793138 ...
#> ..$ name : chr [1:11] "zhanglunkai1013" "captainbutters00" "johansistemas15" "rodrigo.gallego" ...
#> ..$ image_url: chr [1:11] "https://images.cryptocompare.com/793242/993f8fd6-2de9-4a47-9c98-fda824300c05.jpg" "https://images.cryptocompare.com/542859/63929c86-be0f-47fb-939b-b146398afef3.jpg" "https://images.cryptocompare.com/787925/f35f3d6f-571c-49f7-bbfa-1e54b2f7b1d5.jpg" "https://images.cryptocompare.com/607981/50114a79-d8f0-4b7f-84f3-c4983045d0f5.jpg" ...
#> ..$ url : chr [1:11] "/profile/zhanglunkai1013/" "/profile/captainbutters00/" "/profile/johansistemas15/" "/profile/rodrigo.gallego/" ...
#> ..$ type : chr [1:11] "Cryptopian" "Cryptopian" "Cryptopian" "Cryptopian" ...
#> $ page_views :Classes 'tbl_df', 'tbl' and 'data.frame': 8 obs. of 2 variables:
#> ..$ page : chr [1:8] "overview" "markets" "analysis" "charts" ...
#> ..$ views: int [1:8] 14516361 1036994 679524 4779403 440181 50035 3089168 42486
#> $ crypto_compare_summary:Classes 'tbl_df', 'tbl' and 'data.frame': 1 obs. of 5 variables:
#> ..$ points : int 3490360
#> ..$ followers : int 52666
#> ..$ posts : int 47524
#> ..$ comments : int 98561
#> ..$ page_views: int 24634152
#> $ social_media :List of 3
#> ..$ Twitter :Classes 'tbl_df', 'tbl' and 'data.frame': 1 obs. of 9 variables:
#> .. ..$ following : int 127
#> .. ..$ account_creation: int 1313643968
#> .. ..$ name : chr "Bitcoin"
#> .. ..$ lists : int 6362
#> .. ..$ statuses : int 19537
#> .. ..$ favourites : int 241
#> .. ..$ followers : int 792646
#> .. ..$ link : chr "https://twitter.com/bitcoin"
#> .. ..$ points : int 824475
#> ..$ Reddit :Classes 'tbl_df', 'tbl' and 'data.frame': 1 obs. of 10 variables:
#> .. ..$ posts_per_hour : num 11.2
#> .. ..$ comments_per_hour : num 157
#> .. ..$ posts_per_day : num 270
#> .. ..$ comments_per_day : num 3766
#> .. ..$ name : chr "Bitcoin"
#> .. ..$ link : chr "https://www.reddit.com/r/bitcoin/"
#> .. ..$ active_users : int 9370
#> .. ..$ community_creation: int 1284042626
#> .. ..$ subscribers : int 755430
#> .. ..$ points : int 791072
#> ..$ Facebook:Classes 'tbl_df', 'tbl' and 'data.frame': 1 obs. of 6 variables:
#> .. ..$ likes : int 37288
#> .. ..$ link : chr "https://www.facebook.com/bitcoins/"
#> .. ..$ is_closed : chr "false"
#> .. ..$ talking_about: int 163
#> .. ..$ name : chr "Bitcoin P2P Cryptocurrency"
#> .. ..$ points : int 37288
#> $ repo_summary :Classes 'tbl_df', 'tbl' and 'data.frame': 4 obs. of 18 variables:
#> ..$ created_at : int [1:4] 1363239994 1384835603 1304525025 1292771803
#> ..$ open_total_issues : int [1:4] 28 224 25 902
#> ..$ parent : logi [1:4] NA NA NA NA
#> ..$ size : int [1:4] 1174 17220 3003 85755
#> ..$ closed_total_issues: int [1:4] 139 1294 11528 987
#> ..$ stars : int [1:4] 761 2089 2420 28498
#> ..$ last_update : POSIXct[1:4], format: "2018-02-27 14:56:00" ...
#> ..$ forks : int [1:4] 267 1372 786 16892
#> ..$ url : chr [1:4] "https://github.com/petertodd/python-bitcoinlib" "https://github.com/bitcoinj/bitcoinj" "https://github.com/bitcoinjs/bitcoinjs-lib" "https://github.com/bitcoin/bitcoin"
#> ..$ closed_issues : int [1:4] 46 621 3154 404
#> ..$ closed_pull_issues : int [1:4] 93 673 8374 583
#> ..$ fork : chr [1:4] "false" "false" "false" "false"
#> ..$ last_push : int [1:4] 1519197806 1519839412 1519115258 1519873006
#> ..$ source : logi [1:4] NA NA NA NA
#> ..$ open_pull_issues : int [1:4] 13 24 295 8
#> ..$ language : chr [1:4] "Python" "Java" "JavaScript" "C++"
#> ..$ subscribers : int [1:4] 96 275 162 3036
#> ..$ open_issues : int [1:4] 15 200 607 17
Pairs Data
Details about top cryptocurrency pairs (by volume) can be retrived using get_top_pairs().
# Top ETH pairs
get_top_pairs("ETH")
#> # A tibble: 5 x 5
#> exchange from_symbol to_symbol volume24h volume24h_to
#> <chr> <chr> <chr> <dbl> <dbl>
#> 1 CCCAGG ETH BTC 444023. 36448.
#> 2 CCCAGG ETH USD 218294. 188899250.
#> 3 CCCAGG ETH USDT 194037. 168134922.
#> 4 CCCAGG ETH KRW 43634. 42774963078.
#> 5 CCCAGG ETH EUR 38286. 27117875.
API Limits
The API has hour, minute, and second call rate limits. These limits, along with calls made against the limit, can be retrieved using get_api_limit() as follows:
# Second limit
get_api_limit("second")
#> # A tibble: 2 x 5
#> call_metric histo price news strict
#> <chr> <int> <int> <int> <int>
#> 1 calls_made 0 1 0 0
#> 2 calls_left 15 49 5 1
# Minute limit
get_api_limit("minute")
#> # A tibble: 2 x 5
#> call_metric histo price news strict
#> <chr> <int> <int> <int> <int>
#> 1 calls_made 1 5 0 0
#> 2 calls_left 299 995 100 20
# Hour limit
get_api_limit("hour")
#> # A tibble: 2 x 5
#> call_metric histo price news strict
#> <chr> <int> <int> <int> <int>
#> 1 calls_made 10 31 4 2
#> 2 calls_left 7990 149969 2996 498
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