This solution uses a C++-based algorithmic approach to predict stocks based on well-defined technical criteria such as RSI, MACD, volume analysis, and multiple market indicators. Unlike a purely AI-driven approach—which can often be hypothetical and prone to higher uncertainty—this system is grounded in historical data combined with real-time market data. As a result, the error margin is lower, the predictions are more reliable, and the insights are highly actionable. Backtesting: In backtesting, you can provide a target price for a stock (for example, Apple), and the system will analyze how many times that price level was reached within a given period (such as a month). This gives you a clear, data-driven understanding of stock behavior, helping you make more informed decisions about the stocks you track and trade.
