TWAP (Time-Weighted Average Price)

TWAP is both a price benchmark and an execution algorithm. As a benchmark, it represents the average price traded throughout the day. As an algorithm, it slices a large order into equal pieces executed at fixed time intervals to achieve an average price close to the market TWAP.

TWAP formula: Sum of all trade prices ÷ Number of trades (or: Sum of (price × time interval) ÷ Total time)

TWAP vs. VWAP — key difference:

	TWAP	VWAP
Weights	Each time interval equally	Each period by trading volume
Tracks	Time	Volume
Best for	Low-liquidity stocks with uneven volume	Liquid stocks with predictable volume patterns
Used by	Passive execution, compliance benchmarks	Active traders, institutional desks

TWAP as an execution algorithm: The TWAP algorithm splits your order into N equal child orders executed at fixed intervals. If you want to buy 10,000 shares over 2 hours using 10-minute intervals, the algorithm submits 1,000 shares every 10 minutes.

This is simpler than VWAP (which adjusts size based on volume forecasts) and is preferred when:

• Volume is unpredictable or thin
• You want guaranteed participation over time without a volume forecast model
• The compliance benchmark requires TWAP (common in some regulated markets)
• Executing in illiquid markets where volume patterns are unreliable

Limitations of TWAP:

• Ignores volume — the algorithm might execute when spreads are wide and volume is low (e.g., midday doldrums) and miss better fills when volume is high
• Predictable — sophisticated market participants can anticipate TWAP orders and trade against them
• Does not account for price momentum — TWAP buys at a fixed rate regardless of whether the stock is trending up or down