NASDAQ Trading Strategy: ICT Silver Bullet

📊 The Silver Bullet strategy focuses on the am session using NQ as the ticker.

⏰ The strategy takes entries between 10 and 11 am based on the previous hour's high and low.

📈 Examples are shown on the hourly and one-minute charts to demonstrate the strategy in action.

🔍 Using the FX replay tool, the video demonstrates a backtesting strategy called Silver Bullet to trade NASDAQ.

📈 The strategy involves marking out highs and lows on the one-hour chart and monitoring the one-minute chart for reversals.

⏰ The trades should be entered before 11 AM and the stop loss is adjusted to break even once the position hits a 3x profit.

⏰ Marking important candle times for potential trade entries.

📉 Looking for aggressive displacement down for a convincing trade entry.

🔒 Moving stop to break even after hitting 3 times the risk.

📈 Identifying low and high points on different days to determine trading opportunities.

⚖️ Using fair value gap to assess risk-reward ratios for trading strategies.

❌ Analyzing price action and entry models to make informed trading decisions.

🔑 The strategy involves setting a fair value gap and targeting a 3x return before breaking even.

📊 The video discusses marking out the low and high of each session and analyzing the price movement to make entry and exit decisions.

📈 The speaker shares their personal preferences for entering trades and highlights the importance of watching for specific price patterns.

📈 The video discusses the strategy of marking out highs and lows and using displacement to determine trading entries.

⏰ The presenter analyzes different sessions and examines candlestick patterns to make trading decisions.

💡 The strategy involves using fib projections and fair value gaps to identify potential profit targets.

💡 The video discusses a silver bullet strategy for ICT, focusing on identifying high and low points in the market.

📊 By analyzing the backtest results, it is observed that the strategy performed well in terms of risk-reward ratio and equity curve.

📅 The backtest was conducted over a period of 45 days and 15 trades, showing promising results for July and August.