Liquidity Sweep Calculator
Quickly compute liquidity sweep with accurate formulas. See amortization schedules, growth projections, and side-by-side comparisons.
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Adjust values & calculateSweep & Entry Analysis
Formula
A liquidity sweep is measured by the distance price exceeds a previous key level. For a high sweep, subtract the previous high from the actual high reached. For a low sweep, subtract the actual low from the previous low. Entry distance measures how far your entry is from the extreme sweep point, which helps evaluate your risk.
Last reviewed: December 2025
Worked Examples
Example 1: Buy-side Liquidity Sweep EUR/USD
Example 2: Sell-side Liquidity Sweep GBP/USD
Background & Theory
The Liquidity Sweep Calculator applies the following established principles and formulas. Foreign exchange markets facilitate the conversion of one currency into another and serve as the largest and most liquid financial markets in the world, with daily turnover exceeding seven trillion US dollars. Exchange rates are quoted as currency pairs, expressing the price of one unit of a base currency in terms of a quote currency. For example, a EUR/USD rate of 1.0850 means one euro buys 1.0850 US dollars. The smallest standardized price movement in most pairs is the pip, typically the fourth decimal place, with a value of 0.0001 per unit for USD-denominated pairs. The bid price is the rate at which a dealer will buy the base currency, while the ask price is the rate at which it will sell. The spread between bid and ask represents the dealer's compensation and varies with liquidity and volatility. Leverage amplifies both gains and losses by allowing traders to control positions larger than their deposited margin. A 100:1 leverage ratio means a one-percent adverse move eliminates the entire margin, making position sizing and risk management critical. Two parity conditions from international economics anchor exchange rate theory. Purchasing Power Parity (PPP) holds that exchange rates should adjust over time so that identical goods trade at equivalent prices across countries: S = P_d / P_f, where S is the spot rate and P_d and P_f are domestic and foreign price levels. PPP performs well over long horizons but poorly in the short run due to trade barriers, non-tradable goods, and capital flows. Covered Interest Rate Parity (CIRP) is a near-arbitrage condition stating that forward exchange rate premiums or discounts exactly offset interest rate differentials between two currencies: F/S = (1 + r_d) / (1 + r_f). Deviations from CIRP create riskless arbitrage opportunities that traders rapidly eliminate. Uncovered Interest Rate Parity posits that high-yielding currencies should depreciate to offset their interest advantage, though empirical evidence is mixed and the carry trade — borrowing in low-rate currencies to invest in high-rate ones — has generated persistent returns.
History
The history behind the Liquidity Sweep Calculator traces back through the following developments. For much of the nineteenth century and early twentieth century, the international monetary system operated under the classical gold standard, under which each participating currency was fixed to a defined weight of gold, making bilateral exchange rates effectively constant. The system provided price stability and facilitated global trade but constrained governments' ability to respond to economic downturns. World War One shattered the gold standard as nations suspended convertibility to finance wartime expenditures. The interwar period saw attempts to restore gold convertibility, most notably the British return to the gold standard in 1925 at the pre-war parity, a decision criticized by John Maynard Keynes as deflationary. The Great Depression forced widespread currency devaluations and the effective collapse of the international gold standard by the early 1930s. The Bretton Woods Conference of July 1944 established a new order in which member currencies were pegged to the US dollar, while the dollar alone was convertible into gold at 35 dollars per troy ounce. The International Monetary Fund and World Bank were created at the same conference to oversee the system. Bretton Woods delivered exchange rate stability during the postwar growth era but came under strain as US deficits and European dollar accumulation outpaced American gold reserves. On August 15, 1971, President Nixon announced the suspension of dollar-gold convertibility — the so-called Nixon Shock — effectively ending the Bretton Woods system. By 1973, major currencies had transitioned to floating exchange rates determined by market supply and demand, a regime that has persisted. On September 16, 1992, hedge fund manager George Soros shorted the British pound against the European Exchange Rate Mechanism constraints, forcing the UK's withdrawal in what became known as Black Wednesday. Electronic trading platforms emerged in the 1990s and 2000s, replacing voice-brokered interbank markets and dramatically reducing transaction costs for institutional and retail participants alike.
Frequently Asked Questions
Sources & References
Formula
High Sweep = Actual High − Previous High | Low Sweep = Previous Low − Actual Low | Entry Distance = |Entry − Sweep Point|
A liquidity sweep is measured by the distance price exceeds a previous key level. For a high sweep, subtract the previous high from the actual high reached. For a low sweep, subtract the actual low from the previous low. Entry distance measures how far your entry is from the extreme sweep point, which helps evaluate your risk.
Worked Examples
Example 1: Buy-side Liquidity Sweep EUR/USD
Problem: Previous high: 1.1000, price reached 1.1010 before reversing. Entry after sweep at 1.0980. How much liquidity was grabbed?
Solution: Sweep distance = 1.1010 - 1.1000 = 0.0010 = 10 pips\nPrice swept 10 pips above the previous high\nEntry distance from sweep = 1.1010 - 1.0980 = 30 pips\nAll stop losses and buy stops above 1.1000 were triggered
Result: Buy-side sweep: 10 pips | Entry: 30 pips from sweep high
Example 2: Sell-side Liquidity Sweep GBP/USD
Problem: Previous low: 1.2700, price reached 1.2688 before reversing. Entry long at 1.2710.
Solution: Sweep distance = 1.2700 - 1.2688 = 0.0012 = 12 pips\nPrice swept 12 pips below the previous low\nEntry distance from sweep = 1.2710 - 1.2688 = 22 pips\nAll stop losses and sell stops below 1.2700 were triggered
Result: Sell-side sweep: 12 pips | Entry: 22 pips from sweep low
Frequently Asked Questions
What is a liquidity sweep in ICT trading?
A liquidity sweep (also called a liquidity grab or stop hunt) occurs when price temporarily moves beyond a significant high or low to trigger stop loss orders and pending orders clustered at those levels, then quickly reverses. In ICT methodology, this is considered a deliberate action by institutional traders and market makers who need the opposite side of the market to fill their large positions. For example, if institutions want to buy, they may push price below a previous low to trigger sell stops, thereby creating the sell-side liquidity they need to fill buy orders. Recognizing liquidity sweeps is crucial for identifying potential reversal points and timing entries.
How do you identify a liquidity sweep on the chart?
A liquidity sweep is identified when price breaks beyond a key level (swing high, swing low, equal highs/lows, or previous session high/low) but fails to hold and quickly reverses. On the chart, it often appears as a long wick or spike beyond the level followed by a close back within the range. Key signs include: price taking out a well-defined level, a quick rejection wick, increased volume at the sweep point, and a shift in market structure after the sweep. Look for sweeps at daily highs/lows, weekly levels, and obvious swing points where retail traders typically place their stop losses. The most significant sweeps occur during ICT killzone times.
What is the difference between a liquidity sweep and a breakout?
The key difference lies in what happens after price breaks the level. A genuine breakout sees price close beyond the level and continue in that direction with follow-through momentum and often retests the broken level as new support or resistance. A liquidity sweep, however, breaks the level briefly (usually just by a few pips) and then reverses, with price closing back on the original side of the level. Breakouts are supported by genuine institutional buying or selling in the breakout direction, while sweeps are designed to collect opposing liquidity before the real move in the opposite direction. Volume analysis, candle close location, and subsequent market structure can help distinguish between the two.
Where does liquidity pool in the forex market?
Liquidity pools form at predictable price levels where retail traders cluster their orders. The most common locations include: swing highs and swing lows where traders place stop losses, equal highs and equal lows which create obvious double top/bottom patterns, round numbers or psychological levels like 1.1000, previous session highs and lows (Asian, London, New York), daily and weekly open prices, and trendline touch points. In ICT methodology, these are called 'external range liquidity' when above highs or below lows, and 'internal range liquidity' when within fair value gaps and order blocks. Smart money traders use these pools as targets and entry mechanisms for their positions.
How do you trade after a liquidity sweep?
After identifying a liquidity sweep, wait for confirmation before entering a trade. The confirmation typically comes in the form of a market structure shift on a lower timeframe — for example, after a low sweep, look for price to start making higher highs and higher lows on the 1-minute or 5-minute chart. Enter at an order block or fair value gap that forms after the sweep, with your stop loss placed just beyond the sweep point. Target the opposite side of the range or the next liquidity pool. For example, after a sweep of lows, go long targeting the highs. The risk-reward is typically excellent because your stop is tight (just beyond the sweep wick) while your target is the opposite range extreme.
Can I use Liquidity Sweep Calculator on a mobile device?
Yes. All calculators on NovaCalculator are fully responsive and work on smartphones, tablets, and desktops. The layout adapts automatically to your screen size.
References
Reviewed by Daniel Agrici, Founder & Lead Developer · Editorial policy