Abstract: This study examines the effectiveness of Moving Averages (MAs) and Bollinger Bands (BBs) in trading strategies, focusing on Apple Inc. (AAPL) and Reliance stocks. By testing different MA periods (10-day, 50-day, 100-day) and BB deviations (1.5, 2, 2.5), the research evaluates impacts on profitability, win rates, and risk-adjusted returns. Backtesting over 5–10 years of daily data reveals that shorter MAs outperform on volatile stocks like AAPL, while longer MAs suit more stable stocks like Reliance. Additionally, customizing BB deviations according to stock volatility significantly enhances trade signal accuracy. Integrating MAs and BBs together reduces false signals and improves trading outcomes across both trending and range-bound markets. These findings offer actionable insights for traders seeking to optimize technical strategies and contribute to academic literature by systematically testing non-standard indicator settings.

Keywords: Moving Averages, Bollinger Bands, trading strategies, technical analysis, stock market, volatility

| DOI: 10.17148/IARJSET.2025.12472