| Strategy Type | Primary Goal | Typical User | Example | | :--- | :--- | :--- | :--- | | | Track historical or intraday volume profile | Asset managers, pension funds | Execute 5% of volume every 10 minutes | | Implementation Shortfall | Minimize slippage vs. arrival price | Active long/short equity funds | Aggressive at start, passive thereafter | | Liquidity Seeking (Sniffer) | Find dark pool or hidden liquidity | High-turnover quant funds | Sweep odd lots, ping dark venues | | Market Making | Earn bid-ask spread; provide liquidity | Prop trading firms, HFT | Post limit orders, cancel on adverse move | The Critical Interface: Risk Management in DMA The most overlooked chapter in Johnson’s framework is risk . DMA removes the broker’s manual checks, placing immense responsibility on the buy-side firm. An algorithmic error without DMA might cause a slow loss; with DMA, it can cause a flash crash in your own account in seconds.
In the pre-digital era, trading was a human affair—shouting across pits, hand signals, and paper tickets. Today, the landscape is governed by algorithms and fiber optics. At the heart of this transformation lies a powerful convergence: and Direct Market Access (DMA) . Few have mapped this terrain as clearly as Barry Johnson in his definitive text, Algorithmic Trading & DMA: An Introduction to Direct Access Trading Strategies . algorithmic trading and dma barry johnson pdf
Barry Johnson categorizes algorithmic strategies into two high-level families: (seeking to track a benchmark like arrival price) and opportunistic (seeking to capture liquidity or arbitrage). | Strategy Type | Primary Goal | Typical