Strategy Overview

SilverBulletStable is an automated multi-asset trading bot built for the cTrader / cAlgo platform. The strategy implements a simplified ICT-inspired Silver Bullet concept, combining liquidity sweeps, Fair Value Gap (FVG) detection, and EMA-based trend filtering to identify short-term intraday opportunities.

The bot scans several major instruments simultaneously and executes trades during a specific New York session window, where volatility and liquidity are typically elevated.

Core strategy components:

• Trend filter: Exponential Moving Average (EMA)
• Liquidity sweep detection: recent highs or lows being taken
• Fair Value Gap confirmation: price imbalance between candles
• Session filter: New York Silver Bullet time window
• Strict risk management: position sizing based on account risk percentage

The goal is to capture short-term momentum moves after liquidity grabs while maintaining controlled risk exposure.

Entry Logic & Execution Behaviour

The bot evaluates each configured symbol on the 5-minute timeframe.

A trade is triggered when the following sequence occurs:

1. Trend Confirmation

The bot determines market direction using an Exponential Moving Average (EMA).

• Bullish bias: price closes above EMA
• Bearish bias: price closes below EMA

This prevents counter-trend trading and focuses entries on momentum continuation.

2. Liquidity Sweep Detection

Before entering a trade, the bot looks for stop-hunt behaviour:

• Bullish setup: the latest candle sweeps below a previous low
• Bearish setup: the latest candle sweeps above a previous high

This indicates that liquidity has been taken from retail stop orders.

3. Fair Value Gap Confirmation

After a sweep occurs, the algorithm checks for a three-candle imbalance pattern:

Bullish FVG

• Candle 3 low > Candle 1 high

Bearish FVG

• Candle 3 high < Candle 1 low

This suggests institutional displacement and confirms momentum.

4. Trade Execution

If all conditions align:

• A market order is executed
• Stop Loss and Take Profit are applied immediately
• Position size is calculated based on account risk percentage

Risk & Capital Management

Risk control is built directly into the strategy.

Position Sizing

Trade volume is calculated dynamically using:

• Account balance
• User-defined Risk % per trade
• Stop loss distance
• Symbol pip value

This ensures consistent risk regardless of instrument volatility.

Protective Measures

The bot includes several safety controls:

Maximum trades per day

• Limits exposure and prevents overtrading

Maximum daily loss

• If account drawdown reaches the configured percentage, the bot stops trading for the rest of the day

Automatic daily reset

• Trade counter and risk baseline reset each new trading day

Trading Session Filter

The strategy trades only during a specific New York session window.

Trading occurs when:

• New York time = 10:00

This aligns with the ICT Silver Bullet volatility period, where liquidity sweeps and rapid directional moves often occur.

Supported Markets

The bot scans multiple symbols simultaneously:

• XAUUSD (Gold)
• US100.cash (Nasdaq)
• US500.cash (S&P 500)
• EURUSD

Each instrument is analyzed independently, allowing the bot to capture setups across different markets.

Key Parameters

ParameterDescription

Risk %

Percentage of account balance risked per trade

Stop Loss (pips)

Distance from entry to stop loss

Take Profit (pips)

Profit target

EMA Trend

Period used for trend filtering

Max Trades Per Day

Maximum number of trades allowed daily

Max Daily Loss %

Trading stops if drawdown exceeds this level

These parameters allow traders to adjust risk exposure and strategy sensitivity.

This algorithm is designed for:

Account Size

• Small to medium accounts
• Suitable for scaling with proper risk settings

Trader Profile

• Traders who prefer systematic execution
• ICT or price-action traders wanting automation
• Users seeking controlled risk intraday strategies

Experience Level

• Beginner to advanced traders
• Beginners benefit from automation while advanced traders can optimize parameters.

Important Limitations & Usage Notes

Session Dependence

The strategy only trades during a single hour of the trading day, meaning some days may produce no trades.

Market Conditions

Performance depends on:

• liquidity sweeps occurring
• clear displacement moves
• normal volatility

Low-volatility environments may reduce trade frequency.

Broker Differences

Results may vary depending on:

• spreads
• symbol naming
• execution speed
• minimum stop distances

Backtesting Recommendation - Backtest results are from FTMO not Bullmarkets!

Users should backtest and forward test the bot on their broker before live deployment.

VPS Recommended

For stable operation, running the bot on a low-latency VPS connected to the broker server is recommended