Cont & de Larrard (2011) link best-queue sizes to short-term midprice moves in a reduced Markovian LOB. Plain-language intro. Not investment advice.
Takeaway. Short-term mid moves can be tied to queue sizes at the best bid/ask: when a queue depletes, the mid jumps—so a reduced Markov model of top-of-book queues becomes a price-dynamics engine.
Price Dynamics in a Markovian Limit Order Market (Rama Cont, Adrien de Larrard, 2011) is a favourite after-work "first serious LOB model" paper.
Fit for learners: Reduced Markovian LOB model linking queue sizes at the best quotes to short-term midprice dynamics.
This Hub note is a plain-language intro. Not investment advice. Pair with Gould et al. LOB survey.
Full LOB state is huge. Learners need a minimal stochastic object that still explains why mids tick when liquidity at the touch disappears.
Open the PDF for formal generators and results. Educational use only.
Queue imbalance features appear in countless ML microstructure notebooks. This paper explains why best sizes belong in your feature list.
Tiny evening exercise: simulate two integers (bid_size, ask_size) with random +1/−1 events; when one hits 0, bump mid ±1 tick and reset that queue to a random refill—plot mid path for 200 events.
Landing: arXiv:1104.4596
Not investment advice. This Hub note is educational only. The paper is research—not a licence to trade, quote, or execute with real capital.
Single course CTA: SoloQuant Academy's Introduction to Python Programming—get comfortable with functions, files, and plots first; then these microstructure PDFs become much less scary.