Examples of strategies (ICT, RTM, etc.)

In the system's functionality section, several advanced trading strategies such as ICT and RTM can be implemented. Let me explain these strategies and how they are executed in the system in detail:

• ICT (Inner Circle Trader) Strategy:

• ICT is a trading method based on a deep understanding of market structure and the behavior of central banks and large institutions. In our system, this strategy is implemented as follows:

  • Identifying key levels: The system automatically identifies important price levels such as Fair Value Gaps (FVG), Breaker Blocks, and Order Blocks.

  • Detecting price patterns: Patterns like Liquidity Sweeps and Market Structure Shifts are automatically identified.

  • Trade management: Based on these levels and patterns, the system determines entry and exit points and executes trades while adhering to ICT risk management principles.

  • Multi-timeframe analysis: The system uses analysis of multiple timeframes to confirm trading signals.

• RTM (Reversion to Mean) Strategy:

• RTM is a statistical strategy that operates on the assumption that prices eventually return to their mean. The implementation of this strategy in our system includes:

  • Moving average calculation: The system continuously calculates the moving average of price across various timeframes.

  • Deviation detection: When the price significantly deviates from the average, the system identifies this as a potential trading opportunity.

  • Trend filters: To avoid trading against strong trends, the system uses trend filters.

  • Risk management: Stop-loss and take-profit levels are set based on the distance of price from the average and historical volatility.

• Breakout Strategy:

• This strategy operates based on price breakouts from key levels:

  • Identifying key levels: The system automatically identifies support and resistance levels.

  • Breakout confirmation: To prevent false signals, the system uses filters such as trading volume and candlestick patterns.

  • Quick entry: After confirming the breakout, the system quickly enters the trade.

  • Dynamic stop-loss management: The stop-loss is dynamically adjusted based on market volatility.

• Grid Trading Strategy:

• This strategy involves creating a network of buy and sell orders at different price levels:

  • Automatic grid adjustment: The system adjusts the distance between grid levels based on historical volatility and current market conditions.

  • Dynamic risk management: The trading volume at each grid level is dynamically adjusted to keep the overall portfolio risk balanced.

  • Continuous optimization: The system continuously evaluates grid performance and optimizes parameters if necessary.

Each of these strategies is customizable in our system, and users can adjust parameters based on their needs and preferences. Additionally, the system provides the ability to combine these strategies, allowing users to leverage the strengths of multiple strategies simultaneously.