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Market Microstructure, Order Flow & Liquidity
A quantitative study of how orders interact in electronic markets, how spreads and depth evolve, how trades consume liquidity, and how to separate observab
Access follows the publication and entitlement settings configured by TUAD Academy.Clear learning outcomes.
- ✓ Venues, matching engines and the central limit order book sits inside the module 'Electronic Market Architecture'. The analytical objective in this lesson is measurement discipline. Start by defining the object being measured, the timestamp at which it becomes observable, and the unit in which it will be compared. Do not move from an observation to a directional claim unless the rule explicitly defines that inference and the evidence supports it.
- ✓ Bid, ask, spread and price-time priority sits inside the module 'Electronic Market Architecture'. The operational objective is repeatability. Another analyst using the same data, rule version and sequence should be able to reproduce the classification. Ambiguous cases are not forced into a preferred category; they are tagged unresolved and retained in the evidence set.
- ✓ Market-by-price versus market-by-order data sits inside the module 'Electronic Market Architecture'. The review objective is robustness. The method is evaluated across ordinary, adverse and boundary cases. A result that appears only after hindsight selection, favorable fill assumptions or post-outcome rule changes is treated as weak evidence.
- ✓ Depth, volume, immediacy and resiliency sits inside the module 'Liquidity as a Multidimensional Variable'. The analytical objective in this lesson is measurement discipline. Start by defining the object being measured, the timestamp at which it becomes observable, and the unit in which it will be compared. Do not move from an observation to a directional claim unless the rule explicitly defines that inference and the evidence supports it.
- ✓ Cost-to-trade and price impact sits inside the module 'Liquidity as a Multidimensional Variable'. The operational objective is repeatability. Another analyst using the same data, rule version and sequence should be able to reproduce the classification. Ambiguous cases are not forced into a preferred category; they are tagged unresolved and retained in the evidence set.
- ✓ Why displayed depth can mislead sits inside the module 'Liquidity as a Multidimensional Variable'. The review objective is robustness. The method is evaluated across ordinary, adverse and boundary cases. A result that appears only after hindsight selection, favorable fill assumptions or post-outcome rule changes is treated as weak evidence.
Structured modules.
- 01Electronic Market ArchitectureLessons, practical work and knowledge checks
- 02Liquidity as a Multidimensional VariableLessons, practical work and knowledge checks
- 03Order Flow and Aggressor LogicLessons, practical work and knowledge checks
- 04Queue Dynamics and Passive LiquidityLessons, practical work and knowledge checks
- 05Sweeps, Displacement and Liquidity EventsLessons, practical work and knowledge checks
- 06Execution Quality and SlippageLessons, practical work and knowledge checks
- 07Volatility, Events and Liquidity RegimesLessons, practical work and knowledge checks
- 08Microstructure Evidence LabLessons, practical work and knowledge checks