Sorting Binance Historical Candlesticks by Pair and Timeframe
When retrieving historical candlestick data for multiple crypto pairs across different timeframes from the Binance API, sorting the data is essential for easier analysis of 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 JSON and API interactions.
- You have access to the Binance API and are familiar with using it to retrieve historical candlestick data.
Step 1: Determine your data structure
Before you start sorting, make sure your data structure is set up correctly. Assuming you are 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: Sort by pair and timeframe
You can sort your data using 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 pair, then by timeframe. If the pair has changed, it will be moved to the beginning of the corresponding timeframe.
Step 3: Filter the results
After sorting, you may want to filter your results to include only the most relevant data. For example:
data = data.filter((item) => item.pair !== 'BTC/USDT');
This will remove all items with pairs that do not match the desired pair.
Step 4: View Results
Finally, you can display your sorted and filtered data to better understand trends and patterns in your crypto markets.
Here is an example of how you can display sorted data using the console.log()
function:
data.forEach((item) => {
console.log(${item.pair}: ${moment(item.timestamp).format('YYYY-MM-DD HH:mm:ss')}
);
});
Usage Example
Let’s say you have a large dataset with multiple pairs and timeframes and you want to analyze the performance of each pair across different timeframes. By following these steps, you can easily sort the data by pair and time frame, and then filter the results to include only the most relevant information.
const data = [
{
timestamp: '2022-01-01T00:00:00',
pair: 'BTC/USDT',
open: 1000,
high: 1500,
low: 800,
close: 1200,
volume: 100000
},
{
timestamp: '2022-01-02T00:00:00',
pair: 'ETH/BTC',
open: 500,
high: 700,
low: 400,
close: 550,
volume: 80000
},
{
timestamp: '2022-01-03T00:00:00',
pair: 'BTC/USDT',
open: 1200,
high: 1800,
low: 1000,
close: 1300,
volume: 150,000
}
];
data.sort((a, b) => {
if (a.pair === 'BTC/USDT' && b.pair !== 'BTC/USDT') return -1;
if (b.pair === 'BTC/USDT' && a.pair !== 'BTC/USDT') return 1;
const timeframeA = moment(a.timestamp);
const timeframeB = moment(b.timestamp);
if (timeframeA < timeframeB) return -1;
else if (timeframeA > timeframeB) return 1;
return 0;
});
data.forEach((item) => {
console.log(${item.pair}: ${moment(item.timestamp).format('YYYY-MM-DD HH:mm:ss')}
);
});
This will sort the data by pair, then by timeframe, and show the performance of each pair across multiple timeframes.