Background I’ve been taking this online course in corporate finance lately, and I figured I’d share some of my knowledge I’ve learned in my recent fixed income securities module. Fixed Income Securities You’ve probably heard of fixed income securities⸺things like bills, notes, and bonds. When they’re issued by the U.S. government, they’re considered about as safe as it gets, because, well, the U.S. has never defaulted on its debt. Think of a fixed income security as a formal IOU.

Motivation & Background Advent of Code is an annual challenge starting on Dec. 1st that asks users to solve LeetCode-style coding problems through Dec. 25th. I didn’t really participate this year, as I didn’t try to solve all of the problems (I especially did not solve them as they were released) but I used this year’s Advent of Code as an opportunity to hone my knowledge around functional languages and how they are compiled.

Books Quantitative Trading by Ernest P. Chan [1], Forecasting: Principles and Practice by Rob J Hyndman and George Athanasopoulos [2]. Papers “Data-driven stock forecasting models based on neural networks: A review” [3] (link). Notes Towards the beginning of [1], Chan categorizes trading strategies into two types: mean-reversion, and momentum-based. He argues that the movement of a stock price at any given time is determined by one of these strategies: either a stock price is returning to a mean, or it is moving to a new mean.