This is a summary of links featured on Quantocracy on Tuesday, 10/22/2024. To see our most recent links, visit the Quant Mashup. Read on readers!
-
Day 1: Benchmarks [OSM]Yesterday we set out our plan to backtest a strategy using the SPY ETF, which tracks the S&P 500. Before we commence, we obviously need to establish a baseline. What metrics will we use to assess the strategy? How will we define success? What benchmarks will we use? Typically, for a single asset strategy the comparison is buy-and-hold performance. That is, if youre using Fibonacci
-
Reinforcement Learning in Finance: Resources and Expert Advice from Paul Bilokon [Quant Insti]Reinforcement learning (RL) is one of the most exciting areas of Machine Learning, especially when applied to trading. RL is so appealing because it allows you to optimise strategies and enhance decision-making in ways that traditional methods cant. One of its biggest advantages? You dont have to spend a lot of time manually training the model. Instead, RL learns and makes trading decisions