International Journal of Scientific and Research Publications

IJSRP, Volume 12, Issue 5, May 2022 Edition [ISSN 2250-3153]


Machine Learning Approach in Stock Market Prediction: A Case of Colombo Stock Exchange
      Gayan Wickramarathna, Hashan Ratnayake
Abstract: The profitability of the stock market investment depends on the investors decisions and is based on a mix of dynamic environmental factors. Stock price trends are repeatedly forecasted to extract useful patterns and predict their movements. There are different approaches to stock price prediction and different forecasting methods are used by stock market analysts. As a replica of many scientific endeavors, several methods have been found to accurately predict stock prices. Most researchers have been used technical analysis to get more accurate results, while limited researchers used fundamental analysis. However, there is no evidence that compares these two analyzes.

Reference this Research Paper (copy & paste below code):

Gayan Wickramarathna, Hashan Ratnayake (2022); Machine Learning Approach in Stock Market Prediction: A Case of Colombo Stock Exchange; International Journal of Scientific and Research Publications (IJSRP) 12(5) (ISSN: 2250-3153), DOI: http://dx.doi.org/10.29322/IJSRP.12.05.2022.p12519
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