The Blog
How Many Stocks Should I Buy?
A tough question. An age old question. In this clip, Warren Buffet, a famed investor, scoffs at the idea of diversification. He states…
Compare Stock Pairs for Your Algorithmic Trading Strategy with Quantopian
As I mentioned in my previous article, I have started using Quantopian for quantitative stock research. Following their lecture series has…
Building a Tradable Stock Universe With Alpaca
Building a tradable stock universe is extremely simple task, but nevertheless it is essential in developing a strong algorithmic trading strategy…
Buy and Hold vs. Moving Average Crossover, and a Gentle Intro to Quantopian
Learn how to use the Quantopian research environment in seconds. Compare a buy and hold strategy, to trading a moving average.
Save Yourself from a Stock Market Crash with this Simple, Free Strategy
How you can avoid being the best investor there never was, with an equation you haven’t probably heard of.
Creating a Profitable Daily Fantasy Sports Strategy Using Genetic Algorithms and Free Data
Create a winning daily fantasy sports strategy for free using python and a little bit of research. The results will impress you!
Leveraging Machine Learning to Predict Stock Prices
Learn how to predict a stock price 20 days into the future. Don’t let machine learning scare you, it’s a breeze.
Free Financial Stock Data for Python Using IEX API
In this story, I will show you how to pull a company’s information, earnings history, and price history with the help of the free version…
5 Lines of Python to Automate Getting the S&P 500
Get a consistent list of the stocks listed on the S&P 500 in 5 lines of code. Includes export to CSV to use for other projects.
The Easiest Way to Use a Python Virtual Environment with Git
Explaining the easiest way to set up and manage a python virtual environment with Git.
Visualizing Free Stock Data for Algorithmic Trading with Python and Matplotlib
I will help you plot financial indicators. I will then show you how to make informed decisions about stocks using technical analysis.