This paper presents a comprehensive analysis of profitable algorithmic trading strategies implemented in both MetaTrader 5 (MQL5) and TradingView Pine Script. We examine multiple Expert Advisors (EAs) utilizing various technical indicators including RSI (Relative Strength Index), EMA (Exponential Moving Average), and Darvas Box theory. The strategies are optimized for different financial instruments including forex pairs (AUD/USD, EUR/USD), precious metals (XAU/USD, XAG/USD), cryptocurrencies (BTC/USD), and equity indices. Through detailed code analysis and strategy rationale, we demonstrate how systematic approaches to technical analysis, risk management, and market timing contribute to profitable trading outcomes. The paper covers fundamental MQL5 programming concepts, strategy implementation details, and the theoretical foundations that make these algorithms profitable in various market conditions. Additionally, we present advanced techniques including multi-strategy consolidation with intelligent suppression mechanisms, mathematical frameworks for position management, and game-theoretic analysis of market dynamics.