Trading Strategy Overview - The core strategy revolves around identifying high probability trading conditions, systematizing the approach with rules, and refining entries using confluences [8][10][12] - The strategy aims for a win rate of approximately 40%, emphasizing maximizing profits when correct and minimizing losses when incorrect [7] - Key elements include identifying fair value gaps, change of character, and trend breaks with overside/underside retests [15][17][20] Model Implementation - The model uses indicators for change of character, break of structure levels, and fair value gaps [25][26] - Entry points are determined by identifying trends, waiting for breakouts, and targeting the midpoint of fair value gaps [30][31] - Risk management involves reducing risk when the trade moves favorably, potentially creating risk-free trades [37] Confluence Filters - Elliott Wave trend analysis and Fibonacci zones are used as additional layers of confirmation to improve trade selection [56][57] - Fibonacci retracements, particularly the 61.8% golden ratio, help identify potential continuation points in trends [61] - Trend-based Fibonacci extensions are used to anticipate the end of waves and time reversals [62] Real-Time Application - The report provides examples of real-time trades, demonstrating the execution of the model and risk management techniques [36][45][48] - Multi-time frame analysis is used to time exit points [46] - The strategy emphasizes getting in early on trends and allowing them to play out [43]