Strategies topic hub

Trading strategies

◆still alpha

Where the rest of the machine cashes out into P&L. There are really only three ways an automated trader makes money: provide liquidity, predict the next move, or exploit a structural gap.

What's in this topic

7 families, each linking down to the ideas inside it.

Statistical arbitrage01
Trade a portfolio of correlated instruments on the bet that temporary statistical relationships revert. The edge is the average behaviour of many small, diversified positions, not any single forecast.
≈commoditised
Directional event trading02
Take a directional position around an event (release, earnings, breaking news) before the price fully reprices. The slow-drift edge is gone; the surviving edge is latency-to-react and correct interpretation.
◆still alpha
Market making03
Quote both sides, earn the spread on uninformed flow, manage inventory, and survive adverse selection. The single biggest live commercial family: structural, still alpha for the equipped.
∞structural IX-AS
Order-flow information04
Quote around a better fair value inferred from order flow, and manage adverse selection by reading toxicity. Where the modern market-making edge actually sits: microprice, OFI, VPIN.
◆still alpha
Latency arbitrage05
Pick off a stale quote on a slow venue before it updates to match a fast one. As a structural feature it happens every day; as an open opportunity in mature equities it is a commoditised, winner-takes-all arms race.
≈commoditised IX-LATENCY
Market manipulation06
The illegal shadow of real strategies: faking liquidity or news to move the price. Covered here for recognition and detection only, never as an operational how-to.
†dead IX-SPECTRUM
Machine learning in HFT07
Not a fifth strategy family but a toolkit across all of them. Genuine lift on feature-rich, high-sample problems (microstructure signals, news NLP) and overpromised everywhere else.
◆still alpha IX-AI

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