How to Dynamically Call Data from SQLite Database with Two Conditions for Stocks

Learn how to effectively retrieve specific stock data from an SQLite database by implementing conditions for ticker and country dynamically.
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How to Dynamically Call Data from SQLite Database with Two Conditions for Stocks

When working with stock databases, it can sometimes be complicated to retrieve the correct information, especially when stock tickers are not unique across different countries or exchanges. For instance, the ticker AMZN is used by both NASDAQ in the United States and BMV in Mexico, among others. This informational overlap can cause data retrieval problems if not handled properly.

This guide will guide you through the process of dynamically calling data from an SQLite database based on both the stock ticker and the country, ensuring that you can accurately retrieve and display information for a specific stock from a particular exchange.

The Challenge

Imagine you have a vast database that catalogs stocks from all over the world. You want to receive accurate information about a stock using its ticker, but you also need to specify which country's data you’re interested in. For example, when you query the database using the ticker AMZN, you may receive results from various countries that use this ticker, creating confusion about which stock you are actually looking for.

The initial SQL query you might write could look something like this:

[[See Video to Reveal this Text or Code Snippet]]

This query returns data from various countries, which is not what we need. We want to narrow it down to a specific country or exchange, in this case, NASDAQ.

The Solution

To solve this problem dynamically, we need to modify our FastAPI application to include two parameters: ticker and country. This will allow us to retrieve data based on both conditions.

Here’s how we can adjust our FastAPI application accordingly:

Step 1: Update the Route

First, we need to add a new route to handle the request for both ticker and country. Here’s the updated code snippet:

[[See Video to Reveal this Text or Code Snippet]]

Step 2: Explanation of the Code

Route Setup: We define a new route (/stock/{ticker}/{country}) that takes two path parameters – the stock ticker and the country.

Database Connection: Establish a connection to the SQLite database and prepare to fetch stock data with a cursor.

Executing the SQL Query: We execute an SQL query that includes both the ticker and country in the WHERE clause, ensuring we get the correct stock entry.

Fetching Additional Data: After retrieving the stock data, the code fetches historical price records associated with the stock from another table.

Returning the Response: Finally, we return a templated HTML response that displays the stock details and its corresponding historical prices.

Conclusion

By incorporating both the ticker and country as parameters in your SQLite query, you can dynamically and accurately retrieve stock data that meets your specific needs. This approach not only simplifies the data retrieval process but also enhances user experience by ensuring the information displayed is relevant and correct.

If you're dealing with a stock database and facing challenges with data retrieval, try implementing this method to enhance clarity and accuracy in your applications.

Implement the above changes in your FastAPI app and watch as you can dynamically call your stock data more efficiently than ever!