I can give you an example article on how to do it using Python and Binance bees.
Start
Before starting, make sure you have:
API BINANCE account (free floor available)
2
3
4.
Item:
Work Data from Binance after completing a 5 -minute candle
Tired of constantly pulling data every second only to get the same information? Do you want to automate the data loading process for Binance cryptects? Don’t look further!
In this article, we will show you how to use Python and the bookcase of the «Binance-APIlibrary library to extract the Binance data after completing the 5-minute candle .
Step 1: Set the API credentials
First we create our API credentials:
Python
Import
Replace with your real bees credentials
Api_key = «Your_api_key»
Api_secret = «Your_api_secret»
API Binance Point Ending
Binance_api_ndpoint = «
Parameters API Binance
Parameters = {
«Symbol»: «btcusdt»,
your favorite cryptocurrency couple
«Limit»: 100, number of databases to be loaded
}
`
Step 2: Create a data extraction function
Create a new Python file (EGData_fetcher.py) and add the following code:
Python
Import requirements
Import
Def Get_binance_data ():
Api_url = F «{binance_api_endpoint}/ candlestick? Symbol = {parameters [‘symbol’]} & limit = {parameters [‘limit’]}
Print («Unable to load the data:», Reply.status_code)
Not
`
Step 3: Create the main function
Create another Python file (for example Main.py) and add the following code:
`Python
Import
From Data_fetcher Import Get_binance_data
Def Main ():
While it is true:
Data = Get_binance_data ()
If the data are not:
Processes the data uploaded here
Print (data)
Wait 5 minutes before resuming
Time.sleep (300)
`
Step 4: Start the main function
Start theMain.pyUsing Python (for example" Python Main.py). This triggers an infinite cycle that loads new data every 5 minutes.
That’s all! Your app will now pull the data from Binance after completing a 5 -minute candle, ensuring that the API credentials are not exposed to anyone who starts the script.
Ethereum: Python: Get data from Binance when the current candle is finished –
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I can give you an example article on how to do it using Python and Binance bees.
Start
Before starting, make sure you have:
2
3
4.
Item:
Work Data from Binance after completing a 5 -minute candle
Tired of constantly pulling data every second only to get the same information? Do you want to automate the data loading process for Binance cryptects? Don’t look further!
In this article, we will show you how to use Python and the bookcase of the «Binance-API
library library to extract the Binance data after completing the 5-minute candle .Step 1: Set the API credentials
First we create our API credentials:
PythonImport
Replace with your real bees credentials
Api_key = «Your_api_key»
Api_secret = «Your_api_secret»
API Binance Point Ending
Binance_api_ndpoint = «
Parameters API Binance
Parameters = {
«Symbol»: «btcusdt»,
your favorite cryptocurrency couple
«Limit»: 100, number of databases to be loaded
}
`
Step 2: Create a data extraction function
Create a new Python file (EGData_fetcher.py
) and add the following code:PythonImport requirements
Import
Def Get_binance_data ():
Api_url = F «{binance_api_endpoint}/ candlestick? Symbol = {parameters [‘symbol’]} & limit = {parameters [‘limit’]}
Headers = {
«Api-Key»: Api_key,
«Api-Secret»: Api_Secret,
}
Answer = Requests.get (Api_url, Headers = headers)
If reply.status_code == 200:
Return Response.json ()
Otherwise:
Print («Unable to load the data:», Reply.status_code)
Not
`
Step 3: Create the main function
Create another Python file (for example Main.py) and add the following code:
`
PythonImport
From Data_fetcher Import Get_binance_data
Def Main ():
While it is true:
Data = Get_binance_data ()
If the data are not:
Processes the data uploaded here
Print (data)
Wait 5 minutes before resuming
Time.sleep (300)
`
Step 4: Start the main function
Start theMain.py
Using Python (for example" Python Main.py). This triggers an infinite cycle that loads new data every 5 minutes.That’s all! Your app will now pull the data from Binance after completing a 5 -minute candle, ensuring that the API credentials are not exposed to anyone who starts the script.
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