Stock Trading Algorithm with Technical Indicators Using Python for Indian Stocks
Keywords:
Stock, NSE,, BSE, Moving Average, MACD, EMA, CSV, Market CapitalizationAbstract
In the financial markets, algorithmic trading has become a potent instrument that enables traders to automate their tactics and profit from market inefficiencies. In this paper, we describe a Python-based algorithmic trading model that makes use of technical indicators and evaluate its performance in comparison to the well-known buy-and-hold approach. By analysing historical price data, these indicators provide insights into the market trends and potential entry or exit points for trading positions. To evaluate the effectiveness of our algorithmic trading model, we perform a comprehensive comparative analysis against the buy-and-hold strategy. Furthermore, we introduce a GUI that integrates seamlessly with our algorithmic trading model, offering an intuitive and interactive trading environment by allowing the users to easily configure the parameters. By offering empirical support for the benefits of using technical indicators and highlighting the usefulness of interactive interfaces for effective trading execution and decision-making, this study makes a contribution to the expanding field of algorithmic trading.
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