Here’s a draft article on calculating Ethereum Directional Movement Indicators using the Binance DMI (Directional Movement Indicator) API:

Calculating Directional Movement Indicators for Ethereum

Crucial. One powerful tool in this arsenal is the directional movement indicator (DMI), which helps identify the direction of price movement. In this article,

Understanding the 288 Values ​​

Binance, you need to use 288 values: High, Open, Low, and Close. Here’s a Brief Overview of Each Value:

* High : The Highest Price Level Reached During a Bar.

* Open : the lowest price level reached during and bar.

* Low : The lowest price level reached during and bar.

* Close : The Highest Price Level Reached During a Bar.

Calculating the BSM (Balanced Order Signal)

Before diving into dmi, let’s start with the basic moving an wouldage (BSM). A 12-Period Average of High and Low Prices can be used to calculate the BSM. Here’s How:

1.

2.

3.

Calculating the Aroon

Next, we’ll calculate the Average True Range (ATR) using the Alligator Indicators from Alpha Vantage. This will help us identify the volatility of Ethereum’s Price Movements.

• Fetch all 288 values ​​for each bar.

2.

3.

Calculating the BSI (Balance Signal Indicator)

Now, Let’s Create a Balance Signal Indicator (BSI) by Calculating the Ratio of High to Low Prices.

• Fetch all 288 values ​​for each bar.

2.

3.

Calculating the RSI

Lastly, we’ll calculate the relative strength index (RSI) using the high and low values.

• Fetch all 288 values ​​for each bar.

2.

3.

Putting It All Together

The calculated indicators for each bar:

`JavaScript

Const axios = Require (‘axios’);

Async Function calculatedmi () {

// fetch all 288 values ​​for each bar

Const appiresponse = Await axios.get ({ethsymbol} & interval = 5m);

If (Apiresponse.status! == 200) Return;

Const data = apiresponse.data;

Const highvalues ​​= data.highestprices.map ((value, index) => ({value}));

Const openvalues ​​= data.openprices.map ((value, index) => ({value}));

Const lowvalues ​​= data.loodPrices.map ((value, index) => ({value}));

Const closevalues ​​= data.closeprices.map ((value, index) => ({value}));

// BSM Calculate

Const bsmvalues ​​= highvalues.reduce ((a, b) => a + b.value, 0) / bsmvalues.length;

console.log (bsmvalues);

// Calculate aroon

Const atrvalues ​​= closevalues.map ((value, index) => {

IF (Index % 10 === 9 && value

Else If (Index % 10! == 0 && Value> Highvalues ​​[Index – 1] .value) Return 50;

Else If (Index % 10! == 9 && Value

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