Simple Moving Average (SMA) Crossover Strategy with Buy Sell Indicator

Sabyasachi  Mazumder; Sayan Neogy; Sahana  Das

doi:10.46977/apjmt.2023.v03i04.004

Authors

Sabyasachi Mazumder School of Computer Science, Swami Vivekananda University, Barrackpore, 700121, India
Sayan Neogy School of Computer Science, Swami Vivekananda University, Barrackpore, 700121, India https://orcid.org/0000-0002-0998-3870
Sahana Das School of Computer Science, Swami Vivekananda University, Barrackpore, 700121, India

DOI:

https://doi.org/10.46977/apjmt.2023.v03i04.004

Keywords:

Simple Moving Average (SMA), Crossover Strategy, Stock Market Analysis, Trading View

Abstract

This project explores the effectiveness of a Small Moving Average (SMA) crossover trading strategy implemented on the TradingView website using Pine Script. The study investigates the potential profitability of the strategy by backtesting it on historical price data for various financial instruments. The project also examines the impact of different parameter values and timeframes on the performance of the SMA crossover strategy. The findings suggest that the SMA crossover strategy can be an effective tool for identifying potential buy and sell signals, but the results are highly dependent on the specific parameter values and timeframes used. This project provides a practical example of how to implement and test a trading strategy using Pine Script on TradingView.

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