Some years ago my wife bought me a few (6) Raspberry Pi 3 B+ single board computers for Christmas so that I could experiment with creating and managing clusters of computers (it’s what I’d asked…
Finding (Potentially) Undervalued Stocks in the Stock Market
In a previous post, I wrote about finding undervalued sectors in the stock market by determining the divergence of the sector from some representation of the market itself. This post was intended to be a…
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Using Genetic Algorithms to Efficiently Trade the Wheel (Python)
The wheel is a loss-limited option selling strategy that is very effective at generating income in a portfolio. Typically when trading the wheel, stocks with weekly options are preferred since they fetch higher premiums (percentage-wise)…
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A Primer on Latin Squares With Some Research Objectives
Deviating from my usual content, in this post I’m going to provide some necessary knowledge for working with a combinatorial object known as a Latin square. These objects were the centerpiece of my (IMO poorly…
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Building Machine Learning Ensembles in Python
Ensemble learning is a process used in deep learning wherein multiple models, or experts or classifiers, are combined in an ensemble to improve forecasting results. Each individual model in the ensemble, once trained, produces a…
Finding Undervalued Sectors in the Stock Market
For an investor making investment decisions based on the underlying fundamentals of a company, i.e. fundamental analysis, finding companies to buy can be a daunting task. With ~3,600 publically listed companies in the United States…
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Building Redundancy Into Data Gathering for My Stock Data API
In a previous post, I wrote about an API I have created to retrieve data for stocks belonging to the Russell 2000 and S&P 500 indexes. One glaringly obvious issue with the data-gathering techniques discussed…
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Creating a Database with an API (Stock Price Data)
NOTE: because I live in Montana (and was too lazy to deal with time zones) the data stored in this database (therefore, the dates and times passed to the API endpoints) are recorded in Mountain…
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Improving GBM Stock Path Generation With Exponentially Weighted Statistics
In a recent post, I wrote about using Monte Carlo simulations to determine the likelihood of a stock option being profitable by generating multiple paths using Geometric Brownian Motion (GBM) and computing some statistics of…
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Retrieving Historical Stock Data in C++
Examples abound of multiple different ways to retrieve historical stock data in Python using many different sources. I have personally written about an API I created which downloads the data from Yahoo Finance and have…