Tick Size (Forex)

A tick size in forex is the smallest price movement for a currency pair. Also called a pip (percentage in point) for standard pairs, tick size defines the granularity of bid-ask spreads and order placement precision.

What is a pip in forex?

The term “pip” derives from “percentage in point.” For most major currency pairs, one pip is 0.0001—the fourth decimal place. When EUR/USD moves from 1.0850 to 1.0851, it has moved one pip. For yen pairs like USD/JPY, the pip is 0.01 (the second decimal) because the yen doesn’t use fractional cents.

The pip is the standard unit by which forex traders quote profit and loss. A 10-pip move in EUR/USD on a standard 100,000-unit lot equals $100 gross P&L (before spreads).

Tick size vs. pip: terminology

Tick size is the regulatory or technical minimum increment. Pip is the unit traders use to quote moves. For major pairs, they are synonymous (both 0.0001). For yen pairs, one pip = 0.01, but the tick size may be 0.001 (one-tenth of a pip) on some platforms, allowing fractional-pip pricing.

Fractional pips are common in modern electronic trading. Platforms advertise spreads like 1.2 pips, meaning 0.00012 units on EUR/USD. This is possible because bid-ask pricing is no longer constrained to whole pips; brokers can split the pip.

Market microstructure: how tick size affects trading

Bid-ask spread compression: When tick size (and thus minimum increment) is smaller, spreads can be tighter. In EUR/USD with fractional-pip pricing, spreads average 0.7–1.5 pips versus 2–3 pips in less liquid pairs. Smaller tick size reduces transaction costs.

Order book depth: Larger tick sizes force discrete pricing levels, creating “sticky” bid-ask levels where many orders cluster (psychological levels, round numbers). Smaller tick sizes allow denser order book, smoother price discovery.

Scalping and high-frequency trading: Strategies that profit on tiny moves rely on fractional-pip pricing. Traders accept a 0.3-pip spread and target 0.5-pip moves; without fractional-pip tick size, this is impossible.

Tick size and liquidity

Major pairs (EUR/USD, GBP/USD, USD/JPY) trade with very tight tick sizes and fractional-pip spreads) because liquidity is deep. Exotic pairs, with fewer participants, often have wider spreads and discrete tick increments (e.g., 0.001 or 0.005).

Emerging market currency pairs (USD/INR, USD/THB) may have tick sizes of 0.0025 or 0.005, reflecting lighter participation and central bank intervention that limits trading range. These wider ticks increase minimum transaction costs for traders.

Regulatory and exchange considerations

Stock and futures exchanges set tick sizes by rule—the SEC in the US, FCA in the UK, etc. Forex is decentralized (over-the-counter), so tick size is set by individual brokers and market makers. This creates variation:

• Retail brokers: Often quote 1–2 pips on major pairs to attract retail volume.
• Institutional brokers and ECNs: Tighter spreads (0.1–0.5 pips) for high-volume traders, sometimes showing fractional-pip pricing.
• Crypto forex hybrids: May use 0.01 or 0.001 tick sizes due to cross-asset pricing conventions.

Evolution: electronic trading’s impact

Decades ago, forex was quoted in eighths (e.g., 1/8 of a cent). The introduction of electronic trading and algorithmic market-making shrunk spreads and tick sizes dramatically. Bid-ask competition between venues compressed margins.

Today’s fractional-pip pricing would have been inconceivable in the voice-brokerage era. Modern market makers use algorithms to adjust tick sizes dynamically based on volatility and order book density. In volatile periods, spreads widen and effective tick sizes may widen too.

Practical implications for traders

• Cost of trades: Fractional-pip spreads on major pairs reduce slippage for large orders. A trader executing 10M EUR/USD sees a 0.8-pip spread; a 2-pip spread costs meaningfully more in dollar terms.
• Strategy viability: Strategies targeting 1–2 pips of profit require sub-pip spreads. Scalping emerges where tick sizes and spreads are smallest.
• Emerging market hedging: Wider tick sizes in emerging pairs mean wider spreads and higher hedging costs. Companies hedging USD/INR or USD/THB exposure face tighter cost-benefit math.
• Crypto-forex integration: Bitcoin-to-USD trading on some platforms uses 0.01 or 0.1 tick sizes, which is wider than legacy forex but reflects the volatility and smaller notional size of crypto.