Here’s an article on how to obtain cryptocurrency candlestick market data from Binance R:
Ethereum: How to get cryptocurrency candlestick market data from binan r
As a cryptocurrency enthusiast and trader, access to reliable and accurate market data, it is very important to make a deliberate investment decision making. In this article, we will study how to obtain cryptocurrency candlestick market data from Binance using the popular programming language R.
Installing the necessary libraries
Before diving into the code, make sure you install the necessary libraries:
`r
Install.packages (“Readr”)
Install.Packages (“JSONLITE”)
Install.packages (“BS4”)
HTML Pages for Reading
`
Data download from Binance
To download data from Binance, we will use the Library’s Readr feature “Read_CSV ()”. First, go to the binance API destination that provides cryptocurrency market data:
`
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We will use the destination Get /Ticker /Price" with the "symbol" parameter "that interests us (eg Ethereum Ethereum).
r
Library (Readr)
Binance_data <- Read_CSV ("
`
This will download data in CSV format. Note that you may need to adjust the “Symbol” parameter according to the Binance API parameter and your special cryptocurrency.
Candlesticks Data Getting
We will use the “JSONLITELibrary" Read_json () a feature to parse JSON's answer to obtain a candlestick market data.
r
Library (JSONLITE)
Candestick_data <- JSONLITE :: Fromjson (Binance_data $ price) %> %
Group_by (Ticker) %> %
Summarize (Start = First (Date), End = Last (Date), Open = First (Open), Close = Last (Close))
`
This code obtains the date, start and end times, the price of each candlestick price opening and closing.
Data pre -processing
We might want to pre -process data before continuing to further analysis or visualization. Here is an example:
`r
Library (DPLYR)
Candestick_data <- Candestick_data %> %
mutate (date = date (as.date (date)), open = ifelse (open == Na, 0, open), Close = ifelse (Close == Na, 0, Close))
`
This code adds the “Date” column to the data with the original date and sets the column “Open” and ‘cloos’ on 0 (depicts the missing value).
Visualization
We can use the library ggplot2 to visualize the data.
r
Library (Ggplot2)
ggplot (Candestick_data, AES (X = Time Stamp, Y = Price)) +
Geom_line (AES (Color = Ticker))
`
This code creates a line graph with a color that denotes cryptocurrency.
Example of use of use
Here is an example of how you can use this code to analyze the Ethereum market data:
`r
library (moninetals)
Binance_data <- Read_CSV ("
Candestick_data <- JSONLITE :: Fromjson (Binance_data $ price) %> %
Group_by (Ticker) %> %
Summarize (Start = First (Date), End = Last (Date), Open = First (Open), Close = Last (Close))
ggplot (Candestick_data, AES (X = Date, Y = Price)) +
Geom_line (AES (Color = Ticker))
`
In this example, we use the CoinMetals library to obtain coin market data and visualize it through GGPLOT2.
Conclusion
Obtaining cryptocurrency candlestick market data from Binance R is a simple process using popular libraries such as “Readr”, “JSONLITE” and “Ggplot2”. With this code, you can analyze market trends, identify potential trade options and make more informed investment decisions.
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