What Is Market Data Visualization? 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 satisfactory technique will lean on your precise goals and the data you’re performing with. This reference will 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.
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What Are The Benefits Of Market Data Visualizations?
There are many benefits to visualizing market data. It can assist you in noticing trends, patterns, and relationships that you might not have seen otherwise. It can also help you to 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.
What Are The Main Types Of Market Data Visualization Apps?
There are many different types of market data visualization applications available. 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 market data visualization applications:
- Financial analysis and portfolio management software – These applications 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.
- Economic data visualization applications: These tools help users understand financial data, such as GDP, inflation, unemployment, and trade balances. 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. This can help see patterns in regional economies or track the spread of a particular commodity.
- 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.
- Cryptocurrency market data visualization applications – These tools also help users track the prices of various cryptocurrencies.
What Are The Main Components Of Market Data Visualization Apps?
Any market data visualization application worth its salt must include specific vital components to be effective. Here are the must-haves for any market data visualization app:
- A clear and concise user interface. The final thing you want is for customers to become overwhelmed with information or have difficulty locating the information they need within your app. Maintain a clean and straightforward interface.
- Real-time data updates. Your app will be useless if it is not displaying the most up-to-date market data. Make sure your app is constantly refreshing 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. Make sure your app can support multiple timeframes so that 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?
Are you looking to create your market data visualization application but do not know where to start – here, we discuss the possibilities you can think of.
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. You must acquire the data after deciding what kind you want to visualize. 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?
With marketstack API, you can tap into a world of market data, supporting real-time, intraday and historical data from 72 global stock exchanges.
Effortlessly integrate the API and assemble use of 170,000+ worldwide stock tickers accumulated from 70 global exchanges, including Nasdaq, NYSE, and more.
As we have been exploring the best data source for our market data visualization application, marketstack is a complete, easy-to-use JSON API for your market data needs.
Why marketstack & What Can You Get From It?
Our 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.
- 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 PHP 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.
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$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'] ) } |
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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'] )) |
Therefore, you can check out this tutorial where I have created 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.
As you can see, with the marketstack API, you can observe all the market data in seconds. Head over to the marketstack official webpage and get your free subscription API right now!
