In this post, we learn how to normalized earnings per share to calculate P/E ratios. And we will do so using Python.
In this post, we learn to retrieve company key financial information such as analyst recommendations and company shareholders with Python.
Finance. I have written so far a series of posts intending to share my knowledge on how to best use Python to analyse company financials, etc.
In this post, we learn the impact of Bitcoin on company financials. We will analyse Tesla financial statements to see how Bitcoin is reported.
In this post, we perform a full company analysis with Python. We look into Revenue growth, institutional transactions, earning calls, etc.
In this post, we use different profitability and margin ratios with Python in order to analyse profitability metrics across peer companies.
Analysing Balance Sheet Financial Ratios with Python. We will build a script to analyse balance sheet ratios across companies and over time.
What are the best sources of financial data for Python? In this post, I will present my top 7 financial sources to use with Python.
In this post, we will see which are the top 5 Python libraries to use in order to perform Financial Analysis and discover market trends.
In this post we see how to calculate stock returns and stock correlation with Python. In addition, we create and plot the correlation matrix.