EV Killzone Liquidity Sweep

EV Killzone Liquidity Sweep is an Expert Advisor based on institutional concepts (Smart Money/ICT methodology) and focused on identifying and executing high-probability setups during the London and New York killzones. The system combines directional bias, liquidity sweep confirmation, and precision stop-loss entries aligned with institutional trading logic.

The algorithm operates on the 15-minute timeframe and only trades when the market exhibits a clear directional structure confirmed by the 50, 100, and 200-period EMAs. This avoids trading in ranges and unclear counter-trend situations. It uses the previous session's high or low to detect liquidity sweeps and waits for a clear rejection candlestick before placing entry stop orders.

When conditions align, the EA places pending stop orders for precise execution:

• Buy Stop above the high of the reversal candle.

• Sell ​​Stop below the low of the reversal candle.

The stop loss is automatically placed a few points above or below the opposite end of the candlestick, with the option to define all parameters in pips or points. Optionally, a small entry buffer can be added to reduce false triggers.

Position management includes trailing stop, break-even movement, and optional fixed take profit. The system can be limited to a single trade per session or a single pending order per session, maintaining disciplined exposure. All sessions (London and New York killzones) are user-configurable based on the broker's server time.

The operational filters include:

• Maximum spread control.

• Session window validation.

• Automatic deletion of pending orders at session close.

• Magic Number isolation to separate the logic from other EAs.

• Full support for backtesting and optimization.

The Expert Advisor (EA) is optimized for markets with a clear directional structure such as EURUSD, GBPUSD, and XAUUSD, and can be adapted to indices like the NAS100 and US30 by adjusting the point-based parameters. It is recommended for use with ECN brokers and low-latency environments for better execution.