A Comprehensive Guide To Creating Your Own Market Data Visualization Application

creating a market data visualization app using marketstack API

If you’re interested in creating your own market data visualization application, this guide is for you. This article will cover everything, from the fundamentals of market data visualization to more advanced concepts.

Visualizing market data can be a helpful way to understand trends and make informed decisions about investments. There are numerous methods for visualizing data. The most suitable technique depends on your requirements, goals, and the data you’re visualizing. In this article, we’ll review some of the most popular market data visualization techniques.

Once you understand market data visualization, you can start experimenting with different approaches to see what works best for you. You’ll be able to create beautiful and informative visualizations that will help you make better investment decisions with some practice.

Table of Contents

What are the Benefits of Market Data Visualizations?

Market data refers to real-time or historical information about financial markets. This includes stock market data/stock prices, market indices, stock exchanges, stock tickers, etc. This data can be used for various purposes, such as financial analysis, trading strategies, and informed decision-making.

There are many benefits of visualizing market data:

It can assist you in noticing trends, patterns, and relationships that you might not have seen otherwise.
By visualizing market data, you can communicate your findings to others more effectively.
Visualization can also help you to understand complex data sets more efficiently. By seeing the data in a graphical form, you can more easily identify insightful information about the market data. This can lead to insights that you would not have otherwise found. Furthermore, this can help you to make better decisions about when to buy and sell.
Visualization allows you to observe how markets react to various events, news releases, and economic indicators more effectively.

What Are The Main Types Of Market Data Visualization Apps?

There are various types of market data visualization applications. Some are designed for specific types of market data, while others are more general purpose. Here is a brief overview of some of the more popular types of visualization apps for market data:

Financial analysis and portfolio management software

These applications provide comprehensive tools to help users manage their financial portfolios and make investment decisions. They typically provide a variety of charts and graphs to visualize different aspects of the markets. These include portfolio performance, asset allocation, risk exposure, etc.

Economic data visualization applications

These tools help users understand financial data, such as GDP, inflation, unemployment, and trade balances. They enable users to understand macroeconomic trends and their impact on financial markets. They often include a variety of charts and graphs to help users see relationships between different economic indicators.

Geographical market data visualization applications

These tools allow users to visualize market data on a map. By mapping market data, users can:

Understand regional economic dynamics
Identify regional trends
Track the spread of commodities or products across different regions.

Stock market analysis software

These applications are designed to help users analyze stock prices and make investment decisions. They typically include features such as stock price charts, news feeds, and analyst ratings.

You can use these apps for:

Analyzing data and tracking stock market trends
Identifying trading opportunities
Analyzing the performance of individual stocks or portfolios

Cryptocurrency visualization applications

These tools also help users track the prices of various cryptocurrencies. They often offer various charts and graphs to visualize cryptocurrency market trends, identify trading patterns, and monitor the performance of different cryptocurrencies.

What Are The Main Components Of Market Data Visualization Apps?

Here are the must-haves for any market data visualization app:

A clear and concise user interface. Maintain a clean and straightforward interface. The last thing you want is for customers to become overwhelmed with information or have difficulty locating the information they need within your app.
Real-time data updates. Users won’t like your app if it doesn’t display the most up-to-date and accurate market data. Ensure your app constantly refreshes its data so that users always have the most accurate information at their fingertips.
Support for multiple timeframes. Different users will want to look at data from different timeframes – some may wish to see hourly data, while others may want to see data from the past week or month. Ensure your app supports multiple timeframes so all users can find the information they need.
Customizable charts and graphs. Users should be able to customize their charts and graphs so that they only see the information that’s relevant to them.

How To Create Your Own Market Data Visualization Application?

First, you must decide what kind of market data you want to visualize. There are many market data sources, so you will need to narrow your focus. There are many ways to collect market data, so you must choose the best method that suits your needs.

Regarding real-time and historical market data, choosing an API is better than fetching the data from specific web pages. For instance, marketstack API is one of the market-leading services you can find.

What is marketstack API?

Marketstack is a complete, easy-to-use JSON API for your market data needs. With marketstack API, you can tap into a world of market data, supporting real-time, intraday and historical data from 72 global stock exchanges. The API is backed by rock-solid and reliable data sources.

With marketstack, you can get highly accurate real-time data updated every minute, every 5 minutes or every 10 minutes. The API also supports end-of-day stock prices. Additionally, it offers 30+ Years of historical data.

You can effortlessly integrate the API and use 170,000+ worldwide stock tickers accumulated from 70 global exchanges, including Nasdaq, NYSE, and more.

Moreover, marketstack stock market API is supported by cutting-edge technology and highly scalable cloud infrastructure, allowing it to handle anything from a few hundred requests per month to millions of daily hits. With various subscriptions, you can go with any volume you want.

Here are some other prominent features of the API:

Bank-Level Security – Each bit and byte sent to and from the marketstack API is encrypted using industry-standard 256-bit HTTPS encryption.
Lightweight JSON API – Our stock market data API has been built with simplicity: Requests are made using a simple HTTP GET structure, and API response data is delivered in lightweight JSON format.
Used by 30,000+ companies and 80+ universities – Join some of the largest companies and most reputable universities using the marketstack stock API.

How to Integrate Market Data API Into your web App?

We have organized a series of handy code examples in various programming languages, including PHP, Python and others. You will discover all available code examples below.

Fetch market data, including stocks and prices, using PHP:

$queryString = http_build_query([

'access_key' => 'YOUR_ACCESS_KEY'

]);

$ch = curl_init(sprintf('%s?%s', 'https://api.marketstack.com/v1/tickers/aapl/eod', $queryString));

curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);

$json = curl_exec($ch);

curl_close($ch);

$apiResult = json_decode($json, true);

foreach ($apiResult['data'] as $stocksData) {

echo sprintf('Ticker %s has a day high of %s on %s', $stockData['symbol'], $stockData['high'], $stockData['date'] )

}

Python:

Fetch market data including stocks and prices using PythonPython

import requests

params = {

'access_key': 'YOUR_ACCESS_KEY'

}

api_result = requests.get('https://api.marketstack.com/v1/tickers/aapl/eod', params)

api_response = api_result.json()

for stock_data in api_response['data']:

print(u'Ticker %s has a day high of %s on %s' % (

stock_data['symbol']

stock_data['high']

stock_data['date']

))ate']

))

You can check out this tutorial to see how to create a cross-platform native application that integrates this marketstack API and fetches currencies and exchange rates. Furthermore, learn how to optimize and accelerate your applications using APILayer APIs.

Here is an example response returned by the marketstack API:

As you can see, with the marketstack API, you can observe all the market data in seconds. You can check out more details regarding the API endpoints in the API documentation.

Creating a Market Data Visualization App with Marketstack

Here’s a simple example of a web page that uses JavaScript to fetch data from the marketstack API and visualize it using the Chart.js library:

<!DOCTYPE html>

<head>

<title>Market Data Visualization</title>

</head>

<body>

<h1>Market Data Visualization</h1>

// Function to fetch stock data from marketstack API

async function fetchStockData() {

const apiKey = 'YOUR_ACCESS_KEY';

const apiUrl = `https://api.marketstack.com/v1/eod?access_key=${apiKey}&symbols=AAPL`;

try {

const response = await fetch(apiUrl);

const data = await response.json();

return data.data;

} catch (error) {

console.error('Error fetching stock data:', error);

return null;

}

// Function to create a chart using Chart.js

function createChart(labels, prices) {

const ctx = document.getElementById('stockChart').getContext('2d');

const stockChart = new Chart(ctx, {

type: 'line',

data: {

labels: labels,

datasets: [{

label: 'Stock Price (USD)',

data: prices,

borderColor: 'blue',

backgroundColor: 'transparent',

borderWidth: 2

}]

options: {

responsive: true,

maintainAspectRatio: false

}

});

}

// Main function to fetch data and create chart

async function main() {

const stockData = await fetchStockData();

if (stockData) {

const dates = stockData.map(item => item.date);

const prices = stockData.map(item => item.close);

createChart(dates, prices);

}

// Call main function when the page loads

window.onload = main;

</script>

</body>

</html>

Note: Replace ‘YOUR_ACCESS_KEY’ with your actual marketstack API access key. You can get your free API key by signing up with marketstack.

This code above fetches historical end-of-day (EOD) stock data for the AAPL (Apple Inc.) symbol from the marketstack API and visualize it using Chart.js.

Conclusion

A market data visualization app offers various benefits. For instance, it allows you to uncover trends and patterns that you might not have noticed otherwise. It helps you to understand complex data sets more efficiently. Moreover, by visualizing market data, you can communicate your findings to others more effectively.

When creating a visualization app for market data, choosing reliable market data sources is crucial. For instance, marketstack API is one of the most trusted and leading market data sources/APIs. The API provides highly accurate, real-time, intraday, and historical stock market data. Moreover, it supports 170,000+ stock tickers and 750+ market indices.

In this article, we’ve discussed how to integrate marketstack in your web apps and how to use it in data visualization apps.

FAQs

How to visualize market data?

You can use a reliable market data source like marketstack and data visualization tools like Chart.js to create your own visualization app. Data visualization tools provide a wide range of charts and graphs that you can use to display market data.

What are the 4 main visualization types?

The most common types of visualizations include bar charts, pie charts, column charts, and line graphs.

How do you display market data?

You can create your own market data visualization app using marketstack API to fetch market data and a library like Charts.js for presenting data.

Head over to the marketstack official webpage and get your free subscription API right now!

A Comprehensive Guide To Creating Your Own Market Data Visualization Application

What are the Benefits of Market Data Visualizations?

What Are The Main Types Of Market Data Visualization Apps?