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Calling Ohlcv data from Binance Testnet with CCXT
CCXT (Cross-Cryptocurrency Exchange dealer) as a popular choice for trading and researching cryptocurrencies is often used for connection to various stock exchanges. One of the most important features of CCXT is the ability to use its integrated parameters to get data from several stock exchanges. However, one of the restrictions of CCXT is that you do not directly support the picking up of Ohlcv data (open, high, low, short, volume) from Testnet exchanges such as Binance.
Why did CCXT not test a parameter for Binance?
In an interview with Coindesk, a developer of Binance explained that the reason why he does not have a direct parameter for calling Ohlcv data from Testnet exchanges can be attributed to the complexity of implementing this functionality. They mentioned that it would require significant changes to their infrastructure and code base.
In the meantime, however, you can use this restriction using alternative methods. Such a method is to use the function ccxt.ticker to get Ohlcv data directly from Binance Testnet. This requires a little in the CCXT -API documentation and the implementation of a custom solution.
Implementing the solution
Here is an example -Code -Snippet that shows how you can implement the solution:
`Python
Import ccxt
Def fetch_ohlcv_from_binance_trendline ():
Create a Binance Testnet instance
binance_trendline = ccxt.binance ({{{{
'Apikey': 'Your_api_Key' ,,
'apisecret': 'your_api_secret',
'Trendline': true,
'Usetrendline': right,
'Interval': '1h'
})
Record Ohlcv data for a specific asset
Ohlcv = binance_trendline.fetchohlcv ('btcusdt')
Return Ohlcv
Example use:
Ohlcv_data = fetch_ohlcv_from_binance_trendline ()
For line in Ohlcv_Data:
Printing (line)
Important notes
- Please note that this example uses the function
ccxt.ticker, which is only available on Binance Testnet.
- The parameters “Trendline” and “Usetrendline” are required to access Ohlcv data from Binance Testnet.
- The “interval” parameter indicates the time interval for picking up Ohlcv data.
While this solution falls off the restriction of CCXT, it is important to note that the use of a custom implementation may not be as efficient or reliable as left to integrated parameters.