Errata TimesTamp when you require the Kline Data from Binance

While you are exploring ways to integrate historical market data into applications, it is essential to ensure that the API responses are formatted correctly and contain the expected data. In this article, we will deepen a common problem encountered when we request the data of Kline (Candlestick Chart) from Binance and we will discuss possible solutions.

The problem: incorrect timestamp in the response of the kline data

When making a request to the Binance EPI for Kline data, you will receive a response containing data on historic prices with the TimesTamp. However, these TimesTamps are not always accurate or consistent. In some cases, the TimesTamp can be incorrect due to various factors such as the congestion of the network, the API rate limits or the problems of processing internal data.

The problem: incorrect TimesTamp in the Kline required data

Suppose you are using the `requests' library to make a request get to the Binance to the Kline data. You will receive an answer like this:

Python

{

“Kines”: [

[1234567890, 1000, 50.2345, -15.6789, 30.5678, …],

…

“

}

`

Here is an expected output extract:

| Date | Open | High | Bass | Volume |

| --- | --- | --- | --- | --- |

| 2022-01-01T00: 00: 00z | 1000.000 | 1010.000 | 990.000 | 5000.000 |

However, to a more careful exam, note that the TimesTamp1234567890is not correct.

Why are the TimesTamps not accurate?

Different reasons could contribute to this problem:

• Network congestion

  : high network traffic can lead to delayed responses or incorrect data.

2

• Internal data processing problems : errors within the binance system can cause inaccuracies of the TimesTamp.

solutions:

To solve this problem, consider the following strategies:

1. Use a delay to take into account the congestion of the network

When requesting requests to the Binance, it is possible to introduce a small delay (e.g. 10-20 ms) between each request and the previous one. This will contribute to mitigating the congestion of the network and reduce the probability of incorrect timestamp.

Python

import time

Def Make_request (URL):

Presents a short delay to take into account the congestion of the network

Time.sleep (0.01)

Return Requests.get (URL) .json ()

`

2. Optimize the API speed limits

If you are making more requests per second, consider the increase in the use of the use of the API or the implementation of rates limitation strategies, such as authentication based on token.

3. Check Binance's API documentation to be precise

Carefully review the documentation of the Binance EPI to understand what types of data are provided and any potential exception. This will help you anticipate and prepare yourself better for the problems relating to the TimesTamp.

Python

Import Datetime

Def Get_kline_data (URL):

Answer = Requests.get (URL)

json_data = answer.json ()

Analyze the Kines data with an accurate TimesTamp format (eg “2022-01-01T00: 00: 00:”)

For Kline in Json_data [‘Kines’]:

Date = datetime.datetime.strptime (kline [0], ‘%y-%m-%dt%h:%m:%sz’)

Print (date)

``

By implementing these strategies, it is possible to guarantee that your requests from the Binance API receive accurate and consistent timestamp data. This will allow you to create more reliable applications that effectively integrate historical market data.

Conclusion

The incorrect timestamp in responses to Kline data are a common problem when working with the binance bees. By introducing delays to take into account the congestion of the network, optimize the API rate limits or check the documentation for the expected data formats, it is possible to improve the possibilities of receiving accurate data of TimesTamp.