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Building an Interactive Dashboard to Visualize Estonian Kroon Performance with FastAPI

Building an Interactive Dashboard to Visualize Estonian Kroon Performance with FastAPI

Building an Interactive Dashboard to Visualize Estonian Kroon Performance with FastAPI

Building an Interactive Dashboard to Visualize Estonian Kroon Performance with FastAPI

In today's data-driven world, the ability to visualize financial performance is crucial for making informed decisions. This blog post will guide you through the process of building an interactive dashboard to visualize the performance of the Estonian Kroon (EEK) using FastAPI. We will explore the capabilities of the Indices-API, which provides real-time and historical exchange rate data, and how to integrate it into your FastAPI application. By the end of this post, you will have a comprehensive understanding of how to create a powerful dashboard that can display various indices and their performance metrics.

About Estonian Kroon (EEK)

The Estonian Kroon (EEK) was the currency of Estonia until it was replaced by the Euro in 2011. Despite its discontinuation, the Kroon remains a point of interest for financial analysts and developers looking to understand historical currency performance. By leveraging the Indices-API, developers can access a wealth of data that allows for the visualization of the Kroon's historical performance against various indices. This can provide insights into market trends and economic conditions during the time the Kroon was in circulation.

Understanding the Indices-API

The Indices-API is a powerful tool that provides developers with access to real-time and historical exchange rate data for various currencies and indices. This API is designed to empower developers to build next-generation applications that can analyze and visualize financial data effectively. The API offers several endpoints, each with unique functionalities that can be utilized to gather the necessary data for our dashboard.

For more information, you can visit the Indices-API Website and explore the Indices-API Documentation for detailed guidance on how to use the API.

Key Features and Endpoints

The Indices-API provides a variety of endpoints that can be used to gather data for our dashboard. Here are some of the key features:

  • Latest Rates Endpoint: This endpoint returns real-time exchange rate data updated at intervals depending on your subscription plan. It allows you to get the most current rates for various indices.
  • Historical Rates Endpoint: Access historical rates for most currencies dating back to 1999. This is particularly useful for analyzing trends over time.
  • Convert Endpoint: This endpoint allows you to convert amounts from one currency to another, which can be useful for displaying values in different currencies.
  • Time-Series Endpoint: Query the API for daily historical rates between two dates, enabling you to visualize trends over specific periods.
  • Fluctuation Endpoint: Retrieve information about how currencies fluctuate on a day-to-day basis, providing insights into market volatility.
  • Open/High/Low/Close (OHLC) Price Endpoint: Get OHLC data for specific time periods, which is essential for technical analysis.
  • Bid/Ask Endpoint: Obtain current bid and ask prices for indices, which can be useful for traders looking to make informed decisions.

API Endpoint Examples and Responses

To illustrate how to use the Indices-API, let's look at some example responses from various endpoints. Understanding these responses will help you effectively integrate the API into your FastAPI application.

Latest Rates Endpoint

{
"success": true,
"timestamp": 1769489355,
"base": "USD",
"date": "2026-01-27",
"rates": {
"DOW": 0.00029,
"NASDAQ": 0.00039,
"S&P 500": 0.00024,
"FTSE 100": 0.00058,
"DAX": 0.00448,
"CAC 40": 0.00137,
"NIKKEI 225": 0.0125
},
"unit": "per index"
}

The response from the Latest Rates Endpoint provides a snapshot of the current exchange rates for various indices relative to USD. Each index's rate is displayed, allowing developers to visualize the performance of these indices in real-time.

Historical Rates Endpoint

{
"success": true,
"timestamp": 1769402955,
"base": "USD",
"date": "2026-01-26",
"rates": {
"DOW": 0.00028,
"NASDAQ": 0.00038,
"S&P 500": 0.00023,
"FTSE 100": 0.0124,
"DAX": 0.0126,
"CAC 40": 0.0126,
"NIKKEI 225": 0.0126
},
"unit": "per index"
}

This endpoint allows you to retrieve historical exchange rates for any date since 1999. The data can be used to analyze trends and fluctuations over time, which is essential for understanding the historical performance of the Kroon.

Time-Series Endpoint

{
"success": true,
"timeseries": true,
"start_date": "2026-01-20",
"end_date": "2026-01-27",
"base": "USD",
"rates": {
"2026-01-20": {
"DOW": 0.00028,
"NASDAQ": 0.00038,
"S&P 500": 0.00023,
"FTSE 100": 0.0124,
"DAX": 0.0126,
"CAC 40": 0.0126,
"NIKKEI 225": 0.0126
},
"2026-01-22": {
"DOW": 0.00029,
"NASDAQ": 0.00039,
"S&P 500": 0.00024,
"FTSE 100": 0.0124,
"DAX": 0.0126,
"CAC 40": 0.0126,
"NIKKEI 225": 0.0126
},
"2026-01-27": {
"DOW": 0.00029,
"NASDAQ": 0.00039,
"S&P 500": 0.00024,
"FTSE 100": 0.0124,
"DAX": 0.0126,
"CAC 40": 0.0126,
"NIKKEI 225": 0.0126
}
},
"unit": "per index"
}

The Time-Series Endpoint allows you to gather exchange rates for a specific time period, which is invaluable for creating visualizations that show trends over time. You can analyze how the Kroon performed against various indices during specific periods.

Convert Endpoint

{
"success": true,
"query": {
"from": "USD",
"to": "DOW",
"amount": 1000
},
"info": {
"timestamp": 1769489355,
"rate": 0.00029
},
"result": 0.29,
"unit": "per index"
}

The Convert Endpoint is useful for converting amounts from one currency to another. This can help users understand the value of their investments in different currencies, making it easier to visualize performance across various indices.

Fluctuation Endpoint

{
"success": true,
"fluctuation": true,
"start_date": "2026-01-20",
"end_date": "2026-01-27",
"base": "USD",
"rates": {
"DOW": {
"start_rate": 0.00028,
"end_rate": 0.00029,
"change": 1.0e-5,
"change_pct": 3.57
},
"NASDAQ": {
"start_rate": 0.00038,
"end_rate": 0.00039,
"change": 1.0e-5,
"change_pct": 2.63
},
"S&P 500": {
"start_rate": 0.0124,
"end_rate": 0.0125,
"change": 0.0001,
"change_pct": 0.81
},
"FTSE 100": {
"start_rate": 0.0124,
"end_rate": 0.0125,
"change": 0.0001,
"change_pct": 0.81
},
"DAX": {
"start_rate": 0.0126,
"end_rate": 0.0126,
"change": 0,
"change_pct": 0
},
"CAC 40": {
"start_rate": 0.0126,
"end_rate": 0.0126,
"change": 0,
"change_pct": 0
},
"NIKKEI 225": {
"start_rate": 0.0126,
"end_rate": 0.0126,
"change": 0,
"change_pct": 0
}
},
"unit": "per index"
}

The Fluctuation Endpoint provides insights into how indices fluctuate over time, which can be critical for traders and analysts looking to understand market volatility. This data can be visualized in your dashboard to show users how the Kroon's value has changed over time.

OHLC (Open/High/Low/Close) Endpoint

{
"success": true,
"timestamp": 1769489355,
"base": "USD",
"date": "2026-01-27",
"rates": {
"DOW": {
"open": 0.00028,
"high": 0.00029,
"low": 0.00027,
"close": 0.00029
},
"NASDAQ": {
"open": 0.00038,
"high": 0.0004,
"low": 0.00037,
"close": 0.00039
},
"S&P 500": {
"open": 0.0124,
"high": 0.0126,
"low": 0.0123,
"close": 0.0125
},
"FTSE 100": {
"open": 0.0124,
"high": 0.0126,
"low": 0.0123,
"close": 0.0125
},
"DAX": {
"open": 0.0126,
"high": 0.0126,
"low": 0.0126,
"close": 0.0126
}
},
"unit": "per index"
}

The OHLC Endpoint is essential for technical analysis, providing the open, high, low, and close prices for indices over a specific period. This data can be visualized in candlestick charts, which are popular among traders for analyzing price movements.

Bid/Ask Endpoint

{
"success": true,
"timestamp": 1769489355,
"base": "USD",
"date": "2026-01-27",
"rates": {
"DOW": {
"bid": 0.00028,
"ask": 0.00029,
"spread": 1.0e-5
},
"NASDAQ": {
"bid": 0.00038,
"ask": 0.00039,
"spread": 1.0e-5
},
"S&P 500": {
"bid": 0.0124,
"ask": 0.0125,
"spread": 0.0001
},
"FTSE 100": {
"bid": 0.0124,
"ask": 0.0125,
"spread": 0.0001
},
"DAX": {
"bid": 0.0126,
"ask": 0.0126,
"spread": 0
},
"CAC 40": {
"bid": 0.0126,
"ask": 0.0126,
"spread": 0
},
"NIKKEI 225": {
"bid": 0.0126,
"ask": 0.0126,
"spread": 0
}
},
"unit": "per index"
}

The Bid/Ask Endpoint provides current bid and ask prices for indices, which is crucial for traders looking to make informed decisions based on market conditions. This data can be integrated into your dashboard to provide users with real-time insights into market dynamics.

Building the Dashboard with FastAPI

Now that we have a solid understanding of the Indices-API and its capabilities, let's discuss how to build an interactive dashboard using FastAPI. FastAPI is a modern web framework for building APIs with Python, known for its speed and ease of use. Here are the steps to create your dashboard:

Step 1: Setting Up Your FastAPI Environment

To get started, you need to set up your FastAPI environment. You can do this by creating a new directory for your project and installing FastAPI and an ASGI server like Uvicorn:

mkdir estonian_kroon_dashboard
cd estonian_kroon_dashboard
pip install fastapi uvicorn

Step 2: Creating the FastAPI Application

Create a new Python file, main.py, and set up a basic FastAPI application:

from fastapi import FastAPI

app = FastAPI()

@app.get("/")
def read_root():
return {"message": "Welcome to the Estonian Kroon Dashboard!"}

This simple application will serve as the foundation for your dashboard. You can run the application using Uvicorn:

uvicorn main:app --reload

Step 3: Integrating the Indices-API

Next, you will need to integrate the Indices-API into your FastAPI application. You can use the httpx library to make asynchronous API calls. Install httpx:

pip install httpx

Now, modify your main.py file to include a function that fetches data from the Indices-API:

import httpx

API_KEY = "your_api_key_here"
BASE_URL = "https://api.indices-api.com"

async def fetch_latest_rates():
async with httpx.AsyncClient() as client:
response = await client.get(f"{BASE_URL}/latest?access_key={API_KEY}")
return response.json()

Make sure to replace your_api_key_here with your actual API key from the Indices-API.

Step 4: Creating API Endpoints

Now that you can fetch data from the Indices-API, create endpoints in your FastAPI application to serve this data. For example, you can create an endpoint to get the latest rates:

@app.get("/latest-rates")
async def get_latest_rates():
rates = await fetch_latest_rates()
return rates

This endpoint will return the latest exchange rates when accessed. You can create similar endpoints for historical rates, time-series data, and other functionalities provided by the Indices-API.

Step 5: Building the Frontend

To create an interactive dashboard, you will need a frontend to display the data. You can use a JavaScript framework like React or Vue.js to build the frontend. For simplicity, let's assume you are using HTML and JavaScript to fetch and display the data.

Create an index.html file in your project directory:

<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Estonian Kroon Dashboard</title>
<script src="https://code.jquery.com/jquery-3.6.0.min.js"></script>
</head>
<body>
<h1>Estonian Kroon Performance</h1>
<div id="latest-rates"></div>

<script>
$(document).ready(function() {
$.get("/latest-rates", function(data) {
$("#latest-rates").html(JSON.stringify(data));
});
});
</script>
</body>
</html>

This simple HTML file uses jQuery to fetch the latest rates from your FastAPI backend and display them on the page. You can expand this to include charts and graphs using libraries like Chart.js or D3.js for better data visualization.

Step 6: Enhancing the Dashboard

Once you have the basic dashboard up and running, consider enhancing it with additional features:

  • Data Visualization: Use libraries like Chart.js or D3.js to create interactive charts that visualize the performance of the Kroon against various indices.
  • Historical Data: Implement functionality to fetch and display historical data, allowing users to analyze trends over time.
  • User Input: Allow users to select different indices or date ranges to customize the data displayed on the dashboard.
  • Performance Optimization: Ensure that your API calls are efficient and that your frontend is optimized for fast loading times.

Best Practices for Data Presentation

When building your dashboard, keep the following best practices in mind to ensure that your data is presented effectively:

  • Clarity: Ensure that your visualizations are clear and easy to understand. Use appropriate labels, legends, and tooltips to provide context.
  • Interactivity: Incorporate interactive elements that allow users to explore the data further, such as filtering options or hover effects on charts.
  • Responsiveness: Make sure your dashboard is responsive and works well on different devices and screen sizes.
  • Performance: Optimize your API calls and frontend code to ensure fast loading times and a smooth user experience.

Conclusion

In this blog post, we explored how to build an interactive dashboard to visualize the performance of the Estonian Kroon using FastAPI and the Indices-API. We covered the key features of the Indices-API, provided examples of API responses, and outlined the steps to create a FastAPI application that integrates with the API. By following these guidelines, you can create a powerful tool for analyzing historical currency performance and making informed financial decisions.

For further exploration, refer to the Indices-API Documentation for detailed information on all available endpoints and their functionalities. Additionally, you can check the Indices-API Supported Symbols page to understand the various indices you can work with.

With the knowledge gained from this post, you are now equipped to create a comprehensive dashboard that can provide valuable insights into currency performance. Happy coding!

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