Slippage is the difference between the price a trader expected when making a decision and the price actually received in the market. It can be caused by delay, volatility, thin liquidity, queue position, large order size, or information leakage.
Why It Happens
Markets move while orders are being sent, routed, and filled. If the market moves away, or if the order itself pushes the price, the execution can end up worse than expected. In fragmented or fast markets, even a small delay can matter.
Why It Matters
Slippage matters because implementation cost can quietly erase the apparent edge of a strategy. That is why it is a central concern in Financial Trading Algorithms and in best-execution workflows more generally. A strategy that looks profitable before slippage can become mediocre after realistic execution.
Where You See It
Slippage shows up in portfolio transitions, large institutional orders, fast-moving news events, and high-turnover systematic strategies. AI helps by improving routing, timing, order slicing, and live monitoring, but slippage never disappears entirely. It has to be managed.
Related Yenra articles: Financial Trading Algorithms, Financial Portfolio Optimization, and Investment and Asset Management.
Related concepts: Algorithmic Trading, Market Microstructure, Predictive Analytics, Anomaly Detection, and Model Monitoring.