An individual investor placing a small order rarely has to think about how their own trade might move the market — but for a large institution trying to buy or sell a position worth tens or hundreds of millions of dollars, that concern is genuinely central to how the trade actually gets executed. Simply placing one giant market order would overwhelm the liquidity available at the current best price, forcing the order to consume progressively worse-priced liquidity as it fills — a real, well-documented cost called "market impact," where the institution's own order size pushes the execution price against itself.
To manage this, institutions and the trading desks that serve them use specific execution strategies designed to minimize market impact. VWAP (Volume-Weighted Average Price) algorithms break a large order into many smaller pieces, timed to roughly match the stock's typical trading volume pattern throughout the day — trading more heavily during naturally high-volume periods and less during quiet stretches — aiming to blend into normal trading activity rather than standing out as one disruptive, price-moving block. TWAP (Time-Weighted Average Price) strategies work similarly but spread execution evenly across time rather than weighting by volume.
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