London Breakout Strategy: Rules, Example & Backtesting
What is the London breakout strategy?
The London breakout strategy is an intraday approach that marks the high and low of the quiet Asian session, then trades a break of that range when London opens. The logic is that the Asian session often forms a narrow range, and the London open — 08:00 London time — brings volume that can push price out of it. It is a simple, rule-based framework, but it suffers from false breakouts and results vary from year to year.
Everything below is an example framework for study and testing, not a recommendation. The parameters are illustrative; verify any version on your own data before risking money.
Why the Asian range and the London open matter
Forex trades around the clock, but activity is not evenly spread. During the Asian session, liquidity in GBP/USD and EUR/USD is comparatively thin because European and American desks are closed, so these pairs often drift sideways. When London opens, volume picks up sharply and the day’s first real directional move often begins. The guide to forex trading sessions explains the daily rhythm.
Watch the clock. The open is 08:00 London time, which is 07:00 UTC during British Summer Time and 08:00 UTC in winter. If your platform uses a different server time, your range box can be an hour out for part of the year. The market hours tool shows the sessions in your local time.
Example rules, step by step
- Define the range: mark the highest high and lowest low from 00:00 UTC to the London open.
- Filter the range: compare it with the daily ATR(14) and skip days when it is unusually wide (much of the day’s move may be spent, and the stop is large) or unusually narrow (entries sit inside noise and spread). An illustrative filter is 20% to 50% of daily ATR — thresholds to test, not a rule.
- Place the entries: a buy stop a few pips above the range high and a sell stop a few pips below the low, with a buffer that at least covers the spread. When one fills, cancel the other.
- Set the stop: on the other side of the range (wider, fewer premature exits) or at the midpoint (tighter, more stop-outs).
- Set the target: 1 to 2 times the range height from the breakout, or a fixed multiple of risk such as 1.5R.
- Use a time exit: cancel unfilled orders after the first few hours of London and close open trades before the New York session fades.
The volatility yardstick in the filter is explained in the ATR indicator guide.
A worked hypothetical example
Suppose that on a summer morning GBP/USD trades between 1.2700 and 1.2740 from 00:00 to 07:00 UTC. The Asian range is 1.2740 − 1.2700 = 40 pips. Daily ATR(14) is 100 pips, so the range is 40% of ATR and passes the illustrative filter. With a 5-pip buffer, the buy stop goes at 1.2745 and the sell stop at 1.2695.
Price breaks upward and the buy stop fills at 1.2745. With the stop on the other side of the range at 1.2695, the risk is 1.2745 − 1.2695 = 50 pips. A target of 1 × the range is 1.2745 + 0.0040 = 1.2785, a reward of 40 pips or 0.8R; a target of 2 × the range is 1.2825, a reward of 80 pips or 1.6R. With the midpoint stop at 1.2720 instead, the risk is 25 pips, so the same targets are 1.6R and 3.2R — but the tighter stop is hit on days when the wider one survives.
For sizing, assume a $10,000 account risking 1%, or $100. GBP/USD is worth about $10 per pip per standard lot, so with the 50-pip stop the size is 100 ÷ (50 × 10) = 0.20 lots, and with the 25-pip stop it is 100 ÷ (25 × 10) = 0.40 lots. Either way a full stop-out costs about $100 before slippage, and the position size calculator handles this for any pair. These numbers are invented to show the arithmetic; they say nothing about how often such a trade works.
Pairs it suits
The strategy is normally applied to GBP/USD and EUR/USD and, for those who accept larger swings, GBP/JPY. They tend to be quiet in Asia and active in Europe. GBP/JPY moves further, so ranges, stops and slippage are bigger. A pip on JPY pairs is 0.01, and its value depends on the USD/JPY rate: at 150.00, one pip on a standard lot is 1,000 yen, or about $6.67. Pairs such as AUD/USD or USD/JPY are usually more active during Asian hours, which weakens the quiet-range premise.
False breakouts and the retest variant
The main weakness is the false break: price pokes through one side of the range, triggers the order, then reverses — sometimes going on to break the other side. Common defences include:
- Requiring a 15-minute or 1-hour candle to close beyond the range instead of using resting orders.
- Trading only in the direction of the higher-timeframe trend.
- Allowing one trade per day, so a whipsaw cannot produce two losses.
- Using the retest variant: wait for the break, then enter if price returns to the range boundary and holds, with the stop just back inside the range.
The retest gives a tighter stop, but strong breakouts often do not come back, so you will miss some moves. No filter removes false breaks; each one trades fewer losers for fewer winners.
News days, spread and slippage at the open
UK and euro-area data are often released during the London morning. A breakout driven by a data spike behaves differently from an ordinary one: fills are worse and reversals can be sharper. Many traders skip days with top-tier releases or central bank decisions; check the economic calendar the evening before.
Costs matter more than they appear. Spreads can widen around the open, and a stop entry is filled at the next available price, which in a fast break may be beyond your level. In the example, a 1.5-pip spread is 3% of a 50-pip risk but 6% of a 25-pip risk, and the same applies to slippage: the tighter your stop, the more costs matter. The guide to spreads and pips explains how to measure this.
How to backtest it properly
Because the rules are mechanical, the strategy is easy to test — and easy to fool yourself with. Keep to these principles:
- Use a large sample: several years and hundreds of trades, not a few good months.
- Handle daylight saving correctly, or your range will be wrong for part of the year.
- Include realistic spread and slippage on both entry and exit.
- Develop the rules on one part of the data and check them on an untouched out-of-sample period.
- Keep adjustable parameters few; every added filter makes it easier to fit the past.
- Look at results year by year, not just in total.
Results vary by year because the strategy depends on volatility conditions. When trends are strong and London mornings active, breakouts are more likely to follow through; in quiet, range-bound years the same rules can produce strings of false breaks. The guide to backtesting and keeping a trading journal walks through the process; forward-test on a demo account before committing capital.
The London breakout is a framework to test, not a source of reliable income. Forex and CFDs carry a high risk of loss, leverage magnifies losses, and you should only risk money you can afford to lose.
FAQ
What time is the London breakout in UTC?
The London session opens at 08:00 London time. That is 07:00 UTC while the UK is on British Summer Time and 08:00 UTC during winter. Check which time zone your charting platform uses, because a range box set to the wrong hour will be out of line for part of the year.
Which pairs are best for the London breakout strategy?
It is normally applied to GBP/USD and EUR/USD, and to GBP/JPY by traders comfortable with larger swings. These pairs tend to be quiet during the Asian session and become active when Europe opens. Pairs whose home markets trade during Asian hours are usually more active overnight, which weakens the narrow-range premise.
Where do you put the stop-loss on a London breakout trade?
The two common choices are the opposite side of the Asian range or the range midpoint. The far-side stop is wider and survives more pullbacks but lowers the reward relative to risk. The midpoint stop is tighter and improves the ratio but is hit more often. Position size should be calculated from whichever distance you choose.
Does the London breakout strategy still work?
There is no fixed answer. Its results depend on volatility conditions and vary from year to year, and outcomes change with the exact rules, pair, costs and period tested. The only way to judge it is to backtest your precise rules over several years with realistic spread and slippage, check them out of sample, then forward-test on a demo account.