Відео

In this video I will dive into finding US stocks that are highly values vs ones that are cheap, based on market valuations, revenues, and net income. I will use a scatter plot built in Tableau desktop, and drill down into select companies to understand further why some might be valued higher than others.

In this video I will show how to visually analyze clusters within the stock market by correlating 3000 different symbols over the last 15 years, and showing the correlations using Neo4j Bloom. Firstly, I import the data into my PostgreSQL database, scaffold the symbols and dates, and impute missing values. I think upload the data to my local python Jupyter Notebook, and create a correlation mat...

In this video tutorial we will look at stocks that have grown the most since 2020. We can further filter stocks by current market capitalization, and sort them in descending order. Register to use the database yourself here: tesseractanalytics.ai/financial-database-registration-form/ Explore the data here: explore.tesseractanalytics.ai/login/

In this video tutorial we will see how we can simulate a simple equally weighted portfolio of our basket of stocks backwards in time. Register to use the database yourself here: tesseractanalytics.ai/financial-database-registration-form/ Explore the data here: explore.tesseractanalytics.ai/login/

In this video we will learn how to create a list of all the companies available in the Tesseract Analytics Apache SuperSet dataset, how to filter and search for the company that we are interested in. Then how to find if there is more than one stock symbol associated with that company, how to plot the stock prices of those symbols, and EPS (Earnings Per Share). Then we will validate that data ag...

In this video we will create a top down chart of all publicly available stocks in the Tesseract Analytics database and plot them against each other by their last stock price, and earnings per share (EPS) to find a relationship between how company stocks are prices, and their profitability. Register to use the database yourself here: tesseractanalytics.ai/financial-database-registration-form/ Ex...

In this video tutorial we will briefly analyze META, previously known as Facebook. We will create different charts looking at stock price, market capitalization, net income, revenue, cash flows, assets and liabilities. Register to use the database yourself here: tesseractanalytics.ai/financial-database-registration-form/ Explore the data here: explore.tesseractanalytics.ai/login/

In this first introduction video I will show how to register and create a first stock chart comparing Apple, Microsoft and IBM Market Cap using Apache SuperSet with Tesseract Analytics online data visualization and exploration tool. Register to use the database yourself here: tesseractanalytics.ai/financial-database-registration-form/ Explore the data here: explore.tesseractanalytics.ai/login/