Sort Binance Historical Candles by Pair and Timeframe

When fetching historical candlestick data for multiple cryptocurrencies across different timeframes from the Binance API, sorting the data is crucial as it helps you analyze trends and patterns. In this article, we will show you how to sort the data by pair and timeframe.

Prerequisites

• Make sure you have a basic understanding of how JSON and APIs interact.

• You have access to the Binance API and can use it to fetch historical candlestick data.

Step 1: Define the Data Structure

Before you start sorting, make sure your data structure is set up correctly. Assuming you’re working with an object like this:

const data = [
{
timestamp: '2022-01-01T00:00:00',
pair: 'BTC/USDT',
open: 1000,
high: 1500,
low: 800,
close: 1200,
volume: 100000
},
{
timestamp: '2022-01-02T00:00:00',
pair: 'ETH/BTC',
open: 500,
high: 700,
low: 400,
close: 550,
volume: 80000
}
]

Step 2: Sorting by pair and timeframe

You can sort the data using the following syntax:

data.sort((a, b) => {
if (a.pair === 'BTC/USDT' && b.pair !== 'BTC/USDT') return -1;
if (b.pair === 'BTC/USDT' && a.pair !== 'BTC/USDT') return 1;
const timeframeA = moment(a.timestamp);
const timeframeB = moment(b.timestamp);
if (timeframeA < timeframeB) return -1;
else if (timeframeA > timeframeB) return 1;
return 0;
});

This will sort the data by pairs and then by timeframe. If the pair has changed, it will be moved to the beginning of the appropriate time frame.

Step 3: Filter Results

Once sorted, you can filter the results to include only the most relevant data. For example:

data = data filter((item) => item pair !== 'BTC/USDT');

This will remove all items whose pairs do not match the desired pair.

Step 4: Show Results

Finally, you can view the sorted and filtered data to better understand the trends and patterns in the cryptocurrency markets.

Here is an example of how you can display sorted data using console.log():

data.forEach((element) => {
console.log(${item.pair}: ${moment(item.timestamp).format('YYYY-MM-DD HH:mm:ss')});
});

Example use case

Suppose you have a large dataset spanning multiple pairs and time periods, and you want to analyze the performance of each pair across different time periods. By following the steps below, you can easily sort the data by pair and time period, and then filter the results to include only the most relevant information.

const data = [
{
timestamp: '2022-01-01T00:00:00',
pair: 'BTC/USDT',
open: 1000,
high: 1500,
low: 800,
close: 1200,
volume: 100000
},
{
timestamp: '2022-01-02T00:00:00',
pair: 'ETH/BTC',
open: 500,
high: 700,
low: 400,
close: 550,
volume: 80000
},
{
timestamp: '2022-01-03T00:00:00',
pair: 'BTC/USDT',
open: 1200,
high: 1800,
low: 1000,
close: 1300,
volume: 150000
}
];
data.sort((a, b) => {
if (a.pair === 'BTC/USDT' && b.pair !== 'BTC/USDT') return -1;
if (b.pair === 'BTC/USDT' && a.pair !== 'BTC/USDT') return 1;
const timeframeA = moment(a.timestamp);
const timeframeB = moment(b.timestamp);
if (timeframeA < timeframeB) return -1;
else if (timeframeA > timeframeB) return 1;
return 0;
});
data.forEach((element) => {
console.log(${item.pair}: ${moment(item.timestamp).format('YYYY-MM-DD HH:mm:ss')});
});

This will sort the data by pairs and then by time intervals, and show the results of each pair in different time intervals.

ethereum reset bitcoin mode