Big Data Analysis for Trend Recognition Using Machine Learning Techniques

Abstract

Background: Machine learning is one among the most popular research areas today. It is closely related to the field of data mining, which extracts interesting information from a data set. What do you think, if you can use this information as a moneymaking machine? Aim: This paper performs big data analytics on the Indian derivative market and identifies a trend with the help of interdisciplinary areas such as cloud computing, machine learning and statistical computing. Methods: Ten years of daily data of derivatives is taken for training as well as testing purpose. Factors for this identification are taken after the discussions from experts in the equity domain and they are statistically verified using data mining techniques. This is a research area which is less explored in the Indian stock market. Result and conclusion: In this work, a pattern is recognized among the derivative market data with the help of machine learning methods which yield benefits to both short term and long-term trading in the India. If you know this trend in the derivatives, you can take the advantage of investing in market and earn the profits.

Prediksi Indeks Bursa Efek Indonesia 2023 Pendekatan ARIMA, Machine Learning dengan R Programming

“…Hasil: Hasil dari pekerjaan ini adalah pengamatan tren yang menunjukkan naik turunnya harga di derivatif, pembuatan grafik kesamaan deret waktu dan memplot frekuensi data temporal. Kesimpulan: Analitik data besar adalah topik yang belum dieksplorasi di pasar derivatif India [13].…”