Regime Sniffing: The HFT Playbook

High-frequency trading (HFT) algorithms are mainly known for their high speeds and positive effect of increasing liquidity in markets. While this is a proper recognition, very little is known about the intelligence used in these algorithms that allow them to survive for extended periods of time and not go bankrupt. As we’ll see, the story is much deeper than just buying at the bid and selling at the ask. But before understanding the nuances of these algorithms, let’s take a look at how they get their essential nutrients (data): <h2>Data — Not Your Typical yFinance</h2> The bulk of HFT activities are related to market making, so instead of a quant fund that may use historical price data , HFT mainly uses real-time messaging data. The main provider of this data is CME’s Market Data Platfrom (MDP) 3.0. This initial stage of the data represents the most raw form, just take a look: <a href="https://quant-galore.medium.com/regime-sniffing-the-hft-playbook-d2c60e504e70">Visit Now</a>