NY LIQ SWEEP XAUUSD

Shared by a BacktestingMax trader on 7 Jul 2026

• Profit factor: ∞
• Win rate: 87.5%
• Trades: 8
• Backtests: 1

When asia and london liquidity high sweep price gives a significant move .

Entry rules

1. 15 min candle closeing

Invalidation

1. No Sweep No Trade

Stop loss and take profit

1. Below or Above of High or Low 15 min candle
2. Risk To Rewad Ratio 1:2

Strategy Checklist

1. Decide bias on 4 Hrs
2. Check Market Structure
3. Wait till End Asia and London Session
4. Mark out Major Liquidity Pools
5. Look for Asia and London Liquidity Sweep
6. If Bias is Bullish Then Wait fo Lower Side Liquidity Sweep
7. If Bias is Bearish Then Wait fo Upper Side Liquidity Sweep
8. Enter on 15 Min Candle Closeing
9. Put Stoploss At 15 Min High or Low
10. Aim for Risk to Reward Ratio 1:2
11. Entry Time Window 6:00 To 8:00 PM IST
12. Close Trade After 12:00 PM IST
13. London Liquidity Sweep
14. Asia Liquidity Sweep
15. If Both Sweep Then Better
16. If 1:1 Achieved Then Move Stoploss To Breakeven
17. Do Not Trade During News

Inside the app

Opening this strategy in BacktestingMax shows the full record behind the numbers above, on a free account: every trade with entry, exit, size and P&L plus CSV and Excel export; a bar-by-bar replay of the author's own session on 1-minute history; Monte Carlo projections that reshuffle the trade sequence; the equity curve against buy-and-hold; advanced statistics including Sharpe and Sortino ratios, expectancy, payoff ratio, recovery factor, maximum drawdown and longest time underwater; a day-by-day P&L calendar; and behavioural analysis covering revenge trading, position-size chasing, long/short bias and the hours and days it actually made money.

Open this strategy in BacktestingMax (free account required)

More backtested strategies

• Kav Street Gold (profit factor 4.92, 52 trades)
• ICT Gold A+ Liquidity Sweep + Market Structure Shift + Fair Value Gap (FVG) (profit factor 1.90, 49 trades)
• ICT Gold strategy XAUUSD day trading (profit factor 1.96, 22 trades)

Browse all published strategies

Figures come from backtests run by the author inside BacktestingMax. Past performance is not indicative of future results, and nothing here is financial advice.