Today, we have prepared a program using artificial intelligence to efficiently fill a local database. With the help of this program, we can achieve faster and more efficient results.
To demonstrate this, I used my limited Python skills to install all the necessary software on my brother’s computer for free. I installed Python, which is a programming language, and used a simple notepad to create a file. This file, when executed, fills the local database.
The goal of this program was to gather data from the web, store it locally, and retrieve information from the database. This allows us to keep track of important information and have a comprehensive overview.
We focused on three main goals:
- Identifying industry indices in the bull market, specifically looking at the New York Stock Exchange.
- Finding companies that are performing better than their competition but have a lower evaluation and turning ratio.
- Identifying companies that are at an all-time low and potentially ready to bounce.
To achieve these goals, we defined parameters and created a database using SQL. With the help of chatGPT, we prepared a file that runs for one to two hours and fills in all the details for the stocks listed on the New York Stock Exchange.
We have a database with over 3,000 entries. Using SQL queries, we can quickly retrieve the information we need and analyze it. We found some interesting findings, such as a powerful bank that showed potential both technically and fundamentally.
Overall, this program demonstrates the power of artificial intelligence in efficiently filling a local database. It is a valuable tool for programmers and can save a significant amount of time and effort.
Thank you for watching!
