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Posts (page 47)

  • Guide to Ichimoku Cloud In Trading? preview
    8 min read
    The Ichimoku Cloud is a popular technical analysis tool used in trading. It was developed by Japanese journalist Goichi Hosoda in the late 1960s and has gained widespread popularity among traders globally.The Ichimoku Cloud consists of several components that provide traders with information about the trend, support and resistance levels, and potential reversal points.

  • How to Access Json Using D3.js? preview
    7 min read
    To access JSON data using d3.js, you can follow these steps:Load the JSON data: Use the d3.json() function to load the JSON data from a URL or a local file. For example: d3.json("data.json") .then(function(data) { // Access the JSON data here }) Access JSON elements: Once the data is loaded, you can access the individual elements using JavaScript array notation or nested object notation. For example: d3.json("data.json") .then(function(data) { console.

  • How to Zoom Properly Using D3.js? preview
    8 min read
    To zoom properly using d3.js, you can follow these steps:First, you need to create a zoom behavior by calling the d3.zoom() function. Assign it to a variable for future use, like zoomBehavior. Next, attach the zoom behavior to an element or group in your SVG by calling the call() method on the selection. For example, if you want to attach it to the entire SVG, you can use d3.select("svg").call(zoomBehavior). To enable panning, set the drag behavior as well.

  • How to Read Keltner Channels? preview
    9 min read
    Keltner Channels are a technical analysis indicator used to identify potential price trends and determine entry and exit points for trading. They consist of three lines plotted on a price chart: the middle line, the upper band, and the lower band.To read Keltner Channels, you need to understand the interpretation of these three lines.The middle line is typically a 20-day exponential moving average (EMA) of the price, which represents the trend of the security being analyzed.

  • How to Visualize an Event Timeline In D3.js? preview
    6 min read
    To visualize an event timeline in d3.js, you can follow these steps:Set up the necessary JavaScript libraries and dependencies, including d3.js, on your webpage or application. Define the dimensions of the timeline chart, including the width and height of the container element. Create an SVG element within the container element using d3.js. Set the width and height attributes of the SVG element to match the dimensions defined earlier.

  • How to Interpret Ease Of Movement (EMV)? preview
    8 min read
    The Ease of Movement (EMV) is a technical indicator used to measure the ease or difficulty of price movement in the financial markets. It was developed by Richard W. Arms Jr. and was intended to provide insight into the relationship between price and volume.The interpretation of EMV involves understanding its calculation and the signals it generates. The EMV calculation involves two main components: the box ratio and the distance moved.

  • How to Create Hierarchical Bar Chart In D3.js? preview
    10 min read
    Creating a hierarchical bar chart in d3.js involves several steps. Here's how you can do it:Step 1: Set up your HTML file by creating a container element for the chart. <div id="chart"></div> Step 2: Include the d3.js library in your HTML file. <script src="https://d3js.org/d3.v7.min.js"></script> Step 3: Define the dimensions and margins for your chart. const margin = { top: 20, right: 20, bottom: 30, left: 40 }; const width = 600 - margin.

  • How to Load Tsv File to Use With D3? preview
    8 min read
    To load a TSV (Tab-Separated Values) file for use with D3.js, you can follow these steps:First, you need to include the D3.js library in your HTML file. You can either download it and host it locally or link to a hosted version, like this: <script src="https://d3js.org/d3.v7.min.js"></script> Create a container element in your HTML where you want to display the data, such as a element with an ID, like this: <div id="chart"></div> Use D3's d3.

  • How to Use Candlestick Patterns? preview
    7 min read
    Candlestick patterns are a popular tool in technical analysis used by traders to predict future price movements in the financial markets. These patterns derive their name from the shape of the candle they form on price charts.Candlestick patterns consist of two main components: the body and the wick or shadow. The body represents the range between the opening and closing prices, while the wick indicates the high and low prices reached during the given time period.

  • How to Drag A Svg Rectangle In D3.js? preview
    7 min read
    To drag an SVG rectangle in d3.js, you need to implement the drag behavior using the d3.drag() function. Here is how you can do it:First, select the rectangle element that you want to make draggable using the d3.select() function and store it in a variable. var rect = d3.select("rect"); Next, define the drag behavior function that will be triggered when you start dragging the rectangle. Within this function, you can update the coordinates of the rectangle based on the drag event.

  • What Are Commodity Channel Index (CCI) For Scalping? preview
    6 min read
    Commodity Channel Index (CCI) is a technical analysis tool that is commonly used by traders and investors to identify overbought and oversold market conditions, as well as potential trend reversals. It was developed by Donald Lambert in 1980.The CCI is a momentum-based oscillator that measures the current price level relative to an average price level over a specific period of time, typically 20 periods.

  • How to Conditionally Remove Elements With D3? preview
    5 min read
    In D3, you can conditionally remove elements by using the filter method along with a callback function that determines whether to keep or remove each element.Here is an example of how you can conditionally remove elements based on a specific condition: // Select the elements you want to filter/remove (e.g., circles with class "data-point") const circles = d3.selectAll("circle.data-point"); // Apply the filtering circles.