Mastering scalp trading is both challenging and rewarding within the stock markets. This paper outlines the development of an automated scalping strategy that leverages technical indicators, such as the 9-EMA and 15-EMA, along with hammer and inverted hammer candlestick patterns, to achieve precise entry and exit points for trades. The strategy was automated by coding its logic into Pine script, enabling its use with TradingView’s Strategy Tester and stock broker APIs for automatic trade execution based on buy/sell signals. The strategy underwent backtesting with varying parameters on multiple major stocks and indices, yielding an average win rate of 74.17% and an average Profit Factor 2.25 for a three-month period. However, while these backtesting results are promising, it is important to acknowledge the complexities of real-world trading, including transaction costs, market volatility, and changing economic conditions. This research contributes valuable insights into the application of algorithmic trading strategies within the context of candlestick patterns and EMAs, shedding light on their potential reliability and adaptability across diverse market sectors. It serves as a foundation for further exploration and optimization of algorithmic trading techniques in contemporary financial markets.