Python for Finance 2021: Financial Analysis for Investing
Use Python to Find Good Investments and when to Buy and Sell. Learn Pandas, NumPy, Matplotlib for Financial Analysis
What you'll learn
- How to automate financial analysis with Python using Pandas and Numpy
- Learn to find attractive companies to invest in using fundamental analysis with Pandas
- Identify when to buy and sell stocks based on technical analysis using Pandas and Numpy
- Export your financial analysis to Excel in formatted multi sheets
- How to calculate a fair price (intrinsic value) of a stock with Python using Pandas
- Introduction to Pandas, Numpy and Visualization of financial data
- Understand risk when buying stock shares
- Learn about Intrinsic value, Market value, Book value, and Shares
- Master the concepts Dividend, Earnings per share (EPS), Price/Earnings (PE) ratio, and Volume Yield
- Cover a Python Crash Course with all the basic Python
- Use Matplotlib to visualize DataFrames with time series data
- How to join, merge and concatenate DataFrame
- Export data from Python to Excel in nice colorful sheets with charts
- Calculate concrete intrinsic values (a fair price to buy a stock for) for 50 companies
- Read and interpret Dept/Equity (DE) ratio, Current ratio, Return of Investment (ROI) and more
- Web scraping of pages and how to convert data to correct format and types
- Understand and learn to calculate the CAGR (Compound Annual Growth Rate)
- A deep dive case study of DOW theory
- How to calculate technical indicators, like, Moving Average (MA), MACD, Stochastic Oscillator, and more
- Make financial calculations with NumPy
- Calculate with vectors and matrices using NumPy
- How to calculate the Volatility of a stock
- Correlation and Linear Regression between securities between investments
- How the Beta is used and how to calculate it
- Deep dive into using CAPM
- Optimize your portfolio of investments
- Learn what Sharpe Ratio is and how to use it
- How to use Monte Carlo Simulation to simulate random variables
- Some knowledge of programming is recommended
- All software and data used in course is free
- Ability to install Anaconda (guide in course)
Investment Analysis & Portfolio Management (with Python)
Did you know that the No.1 killer of investment return is emotion?
Investors should not let fear or greed control their decisions.
How do you get your emotions out of your investment decisions?
A simple way is to perform objective financial analysis and automate it with Python!
- Performing financial analysis makes your decisions objective - you are not buying companies that your analysis did not recommend.
- Automating them with Python ensures that you do not compromise because you get tired of analyzing.
- Finally, it ensures that you get all the calculation done correctly in the same way.
Does this sound interesting?
- Do you want to learn how to use Python for financial analysis?
- Find stocks to invest in and evaluate whether they are underpriced or overvalued?
Buy and sell at the right time?
This course will teach you how to use Python to automate the process of financial analysis on multiple companies simultaneously and evaluate how much they are worth (the intrinsic value).
You will get started in the financial investment world and use data science on financial data.
Why should you enroll in this course?
- Making investment decisions is like playing poker without looking at your cards if you don't know what you are doing.
- You don't want to stocks in a company you did not analyze first.
- This is the only course that takes you through the full process from finding attractive investments and how to time your first buy.
- Similarly, you do not buy a house without looking at the condition report.
- How to see if a company will grow in value, to avoid falling stock prices the day after you buy it.
- This course does not assume you have a portfolio and want to optimize it - it will help you find the stocks to invest in first.
- It gives you a solid foundation to invest with confidence and stop gambling.
- Learn that making financial analysis on companies is not that difficult and can be automated with Python.
- The market crashed in 2020 without any warning - some companies came in quickly, others did not.
- Be sure to invest in companies with a solid economy and a growth market.